For the winner of the 2017 Preakness Stakes, see.Cloud computing metaphor: the group of networked elements providing services need not be individually addressed or managed by users; instead, the entire provider-managed suite of hardware and software can be thought of as an amorphous cloud.
Cloud computing is an (IT) paradigm that enables ubiquitous access to shared pools of configurable and higher-level services that can be rapidly with minimal management effort, often over the. Cloud computing relies on sharing of resources to achieve coherence and, similar to a.
Third-party clouds enable organizations to focus on their instead of expending resources on computer infrastructure and maintenance. Advocates note that cloud computing allows companies to avoid or minimize up-front costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand. Cloud providers typically use a "pay-as-you-go" model, which can lead to unexpected if administrators are not familiarized with cloud-pricing models.
Since the launch of in 2006, the availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of,, and and has led to growth in cloud computing.
While the term "cloud computing" was popularized with releasing its product in 2006, references to the phrase "cloud computing" appeared as early as 1996, with the first known mention in a internal document.
The cloud symbol was used to represent networks of computing equipment in the original by as early as 1977, and the by 1981 — both predecessors to the Internet itself. The word cloud was used as a metaphor for the Internet and a standardized cloud-like shape was used to denote a network on telephony schematics. With this simplification, the implication is that the specifics of how the end points of a network are connected are not relevant for the purposes of understanding the diagram.
The term cloud was used to refer to platforms for as early as 1993, when spin-off and used it in describing their (paired) and PersonaLink technologies. In April 1994 feature "Bill and Andy's Excellent Adventure II", commented on Telescript, General Magic's distributed programming language:
"The beauty of Telescript ... is that now, instead of just having a device to program, we now have the entire Cloud out there, where a single program can go and travel to many different sources of information and create sort of a virtual service. No one had conceived that before. The example Jim White [the designer of Telescript, and ] uses now is a date-arranging service where a software agent goes to the flower store and orders flowers and then goes to the ticket shop and gets the tickets for the show, and everything is communicated to both parties."
During the 1960s, the initial concepts of time-sharing became popularized via RJE (); this terminology was mostly associated with large vendors such as and. Full-time-sharing solutions were available by the early 1970s on such platforms as Multics (on GE hardware), Cambridge CTSS, and the earliest UNIX ports (on DEC hardware). Yet, the "data center" model where users submitted jobs to operators to run on IBM mainframes was overwhelmingly predominant.
In the 1990s, telecommunications companies, who previously offered primarily dedicated point-to-point data circuits, began offering (VPN) services with comparable quality of service, but at a lower cost. By switching traffic as they saw fit to balance server use, they could use overall network bandwidth more effectively. They began to use the cloud symbol to denote the demarcation point between what the provider was responsible for and what users were responsible for. Cloud computing extended this boundary to cover all servers as well as the network infrastructure. As computers became more diffused, scientists and technologists explored ways to make large-scale computing power available to more users through time-sharing. They experimented with algorithms to optimize the infrastructure, platform, and applications to prioritize CPUs and increase efficiency for end users.
The use of the cloud metaphor for virtualized services dates at least to in 1994, where it was used to describe the universe of "places" that in the environment could go. As described by :
"The beauty of," says, "is that now, instead of just having a device to program, we now have the entire Cloud out there, where a single program can go and travel to many different sources of information and create sort of a virtual service.
The use of the cloud metaphor is credited to General Magic communications employee, based on long-standing use in networking and telecom. In addition to use by General Magic itself, it was also used in promoting 's associated PersonaLink Services.
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Since 2000, cloud computing has come into existence.
In August 2006, created subsidiary and introduced its (EC2).
In April 2008, released in beta.
In early 2008, 's, enhanced in the RESERVOIR European Commission-funded project, became the first open-source software for deploying private and hybrid clouds, and for the federation of clouds.
By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them" and observed that "organizations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to computing ... will result in dramatic growth in IT products in some areas and significant reductions in other areas."
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In February 2010, released, which was announced in October 2008.
In July 2010, and jointly launched an open-source cloud-software initiative known as. The OpenStack project intended to help organizations offering cloud-computing services running on standard hardware. The early code came from NASA's as well as from platform. As an open source offering and along with other open-source solutions such as CloudStack, Ganeti and OpenNebula, it has attracted attention by several key communities. Several studies aim at comparing these open sources offerings based on a set of criteria.
On March 1, 2011, IBM announced the framework to support. Among the various components of the foundation, cloud computing is a critical part. On June 7, 2012, Oracle announced the. This cloud offering is poised to be the first to provide users with access to an integrated set of IT solutions, including the Applications (), Platform (), and Infrastructure () layers.
In May 2012, was released in preview, before being rolled out into General Availability in December 2013.
The goal of cloud computing is to allow users to take benefit from all of these technologies, without multiple the need for deep knowledge about or expertise with each one of them. The cloud aims to cut costs, and helps the users focus on their core business instead of being impeded by IT obstacles. The main enabling technology for cloud computing is. Virtualization software separates a physical computing device into one or more "virtual" devices, each of which can be easily used and managed to perform computing tasks. With essentially creating a scalable system of multiple independent computing devices, idle computing resources can be allocated and used more efficiently. Virtualization provides the agility required to speed up IT operations, and reduces cost by increasing infrastructure. Autonomic computing automates the process through which the user can provision resources. By minimizing user involvement, automation speeds up the process, reduces labor costs and reduces the possibility of human errors.
Users routinely face difficult business problems. Cloud computing adopts concepts from (SOA) that can help the user break these problems into that can be integrated to provide a solution. Cloud computing provides all of its resources as services, and makes use of the well-established standards and best practices gained in the domain of SOA to allow global and easy access to cloud services in a standardized way.
Cloud computing also leverages concepts from utility computing to provide for the services used. Such metrics are at the core of the public cloud pay-per-use models. In addition, measured services are an essential part of the feedback loop in autonomic computing, allowing services to scale on-demand and to perform automatic failure recovery. Cloud computing is a kind of ; it has evolved by addressing the QoS (quality of service) and problems. Cloud computing provides the tools and technologies to build data/compute intensive parallel applications with much more affordable prices compared to traditional techniques.
Cloud computing shares characteristics with:
- —Client–server computing refers broadly to any that distinguishes between service providers (servers) and service requestors (clients).
- —A providing computer services, particularly from the 1960s to 1980s.
- —"A form of distributed and parallel computing, whereby a 'super and virtual computer' is composed of a of networked, computers acting in concert to perform very large tasks."
- —Distributed computing paradigm that provides data, compute, storage and application services closer to client or near-user edge devices, such as network routers. Furthermore, fog computing handles data at the network level, on smart devices and on the end-user client side (e.g. mobile devices), instead of sending data to a remote location for processing.
- —Powerful computers used mainly by large organizations for critical applications, typically bulk data processing such as: ; industry and consumer statistics; police and secret intelligence services; ; and financial.
- —The "packaging of, such as computation and storage, as a metered service similar to a traditional public utility, such as electricity."
- —A distributed architecture without the need for central coordination. Participants are both suppliers and consumers of resources (in contrast to the traditional client–server model).
- —A live, isolated computer environment in which a program, code or file can run without affecting the application in which it runs.
Cloud computing exhibits the following key characteristics:
- Agility for organizations may be improved, as cloud computing may increase users' flexibility with re-provisioning, adding, or expanding technological infrastructure resources.
- Cost reductions are claimed by cloud providers. A public-cloud delivery model converts (e.g., buying servers) to. This purportedly lowers, as infrastructure is typically provided by a third party and need not be purchased for one-time or infrequent intensive computing tasks. Pricing on a utility computing basis is "fine-grained", with usage-based billing options. As well, less in-house IT skills are required for implementation of projects that use cloud computing. The e-FISCAL project's state-of-the-art repository contains several articles looking into cost aspects in more detail, most of them concluding that costs savings depend on the type of activities supported and the type of infrastructure available in-house.
- enable users to access systems using a web browser regardless of their location or what device they use (e.g., PC, mobile phone). As infrastructure is off-site (typically provided by a third-party) and accessed via the Internet, users can connect to it from anywhere.
- of cloud computing applications is easier, because they do not need to be installed on each user's computer and can be accessed from different places (e.g., different work locations, while travelling, etc.).
- enables sharing of resources and costs across a large pool of users thus allowing for:
- centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.)
- peak-load capacity increases (users need not engineer and pay for the resources and equipment to meet their highest possible load-levels)
- utilisation and efficiency improvements for systems that are often only 10–20% utilised.
- is monitored by IT experts from the service provider, and consistent and loosely coupled architectures are constructed using as the system interface.
- is the provider’s computing resources are commingle to serve multiple consumers using a multi-tenant model with different physical and virtual resources dynamically assigned and reassigned according to user demand. There is a sense of location independence in that the consumer generally have no control or knowledge over the exact location of the provided resource.
- may be increased when multiple users can work on the same data simultaneously, rather than waiting for it to be saved and emailed. Time may be saved as information does not need to be re-entered when fields are matched, nor do users need to install application software upgrades to their computer.
- Reliability improves with the use of multiple redundant sites, which makes well-designed cloud computing suitable for and.
- Scalability and via dynamic ("on-demand") of resources on a fine-grained, self-service basis in near real-time (Note, the VM startup time varies by VM type, location, OS and cloud providers), without users having to engineer for peak loads. This gives the ability to scale up when the usage need increases or down if resources are not being used.
- can improve due to centralization of data, increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored. Security is often as good as or better than other traditional systems, in part because service providers are able to devote resources to solving security issues that many customers cannot afford to tackle or which they lack the technical skills to address. However, the complexity of security is greatly increased when data is distributed over a wider area or over a greater number of devices, as well as in multi-tenant systems shared by unrelated users. In addition, user access to security may be difficult or impossible. Private cloud installations are in part motivated by users' desire to retain control over the infrastructure and avoid losing control of information security.
The 's definition of cloud computing identifies "five essential characteristics":
On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets,, and workstations).
Resource pooling. The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand.
Rapid elasticity. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time.
Measured service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.
— National Institute of Standards and Technology
Service modelsCloud computing service models arranged as layers in a stack
Though advocates "everything as a service" (with the acronyms EaaS or XaaS, or simply ), cloud-computing providers offer their "services" according to different models, of which the three standard models per are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These models offer increasing abstraction; they are thus often portrayed as a layers in a : infrastructure-, platform- and software-as-a-service, but these need not be related. For example, one can provide SaaS implemented on physical machines (bare metal), without using underlying PaaS or IaaS layers, and conversely one can run a program on IaaS and access it directly, without wrapping it as SaaS.
Infrastructure as a service (IaaS)
"Infrastructure as a service" (IaaS) refers to online services that provide high-level used to various low-level details of underlying network infrastructure like physical computing resources, location, data partitioning, scaling, security, backup etc. A, such as,,,, /ESXi, or, LXD, runs the virtual machines as guests. Pools of hypervisors within the cloud operational system can support large numbers of virtual machines and the ability to scale services up and down according to customers' varying requirements. Linux containers run in isolated partitions of a single running directly on the physical hardware. Linux and namespaces are the underlying Linux kernel technologies used to isolate, secure and manage the containers. Containerisation offers higher performance than virtualization, because there is no hypervisor overhead. Also, container capacity auto-scales dynamically with computing load, which eliminates the problem of over-provisioning and enables usage-based billing. IaaS clouds often offer additional resources such as a virtual-machine library, raw, file or, firewalls, load balancers, IP addresses, (VLANs), and software bundles.
The 's definition of cloud computing describes IaaS as "where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly limited control of select networking components (e.g., host firewalls)."
IaaS-cloud providers supply these resources on-demand from their large pools of equipment installed in. For connectivity, customers can use either the Internet or (dedicated ). To deploy their applications, cloud users install operating-system images and their application software on the cloud infrastructure. In this model, the cloud user patches and maintains the operating systems and the application software. Cloud providers typically bill IaaS services on a utility computing basis: cost reflects the amount of resources allocated and consumed.
Platform as a service (PaaS)
The 's definition of cloud computing defines Platform as a Service as:
The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages, libraries, services, and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but has control over the deployed applications and possibly configuration settings for the application-hosting environment.
PaaS vendors offer a development environment to application developers. The provider typically develops toolkit and standards for development and channels for distribution and payment. In the PaaS models, cloud providers deliver a, typically including operating system, programming-language execution environment, database, and web server. Application developers can develop and run their software solutions on a cloud platform without the cost and complexity of buying and managing the underlying hardware and software layers. With some PaaS offers like, and, the underlying computer and storage resources scale automatically to match application demand so that the cloud user does not have to allocate resources manually. The latter has also been proposed by an architecture aiming to facilitate real-time in cloud environments. Even more specific application types can be provided via PaaS, such as media encoding as provided by services like bitcodin.com or media.io.
Some integration and data management providers have also embraced specialized applications of PaaS as delivery models for data solutions. Examples include iPaaS (Integration Platform as a Service) and dPaaS (Data Platform as a Service). iPaaS enables customers to develop, execute and govern integration flows. Under the iPaaS integration model, customers drive the development and deployment of integrations without installing or managing any hardware or middleware. dPaaS delivers integration—and data-management—products as a fully managed service. Under the dPaaS model, the PaaS provider, not the customer, manages the development and execution of data solutions by building tailored data applications for the customer. dPaaS users retain transparency and control over data through tools. Platform as a Service (PaaS) consumers do not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but have control over the deployed applications and possibly configuration settings for the application-hosting environment.
A recent specialized PaaS is the as a Service (BaaS), that some vendors such as IBM Bluemix and have already included in their PaaS offering.
Software as a service (SaaS)
The 's definition of cloud computing defines Software as a Service as:
The capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through either a thin client interface, such as a web browser (e.g., web-based email), or a program interface. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.
In the software as a service (SaaS) model, users gain access to application software and databases. Cloud providers manage the infrastructure and platforms that run the applications. SaaS is sometimes referred to as "on-demand software" and is usually priced on a pay-per-use basis or using a subscription fee. In the SaaS model, cloud providers install and operate application software in the cloud and cloud users access the software from cloud clients. Cloud users do not manage the cloud infrastructure and platform where the application runs. This eliminates the need to install and run the application on the cloud user's own computers, which simplifies maintenance and support. Cloud applications differ from other applications in their scalability—which can be achieved by cloning tasks onto multiple at run-time to meet changing work demand. distribute the work over the set of virtual machines. This process is transparent to the cloud user, who sees only a single access-point. To accommodate a large number of cloud users, cloud applications can be, meaning that any machine may serve more than one cloud-user organization.
The pricing model for SaaS applications is typically a monthly or yearly flat fee per user, so prices become scalable and adjustable if users are added or removed at any point. Proponents claim that SaaS gives a the potential to reduce IT operational costs by outsourcing hardware and software maintenance and support to the cloud provider. This enables the business to reallocate IT operations costs away from hardware/software spending and from personnel expenses, towards meeting other goals. In addition, with applications hosted centrally, updates can be released without the need for users to install new software. One drawback of SaaS comes with storing the users' data on the cloud provider's server. As a result, there could be unauthorized access to the data.
Mobile "backend" as a service (MBaaS)
In the mobile "backend" as a service (m) model, also known as backend as a service (BaaS), and developers are provided with a way to link their applications to and cloud computing services with (APIs) exposed to their applications and custom (SDKs). Services include user management,, integration with and more. This is a relatively recent model in cloud computing, with most BaaS dating from 2011 or later but trends indicate that these services are gaining significant mainstream traction with enterprise consumers.
Serverless computing is a cloud computing code model in which the cloud provider fully manages starting and stopping as necessary to serve requests, and requests are billed by an abstract measure of the resources required to satisfy the request, rather than per virtual machine, per hour. Despite the name, it does not actually involve running code without servers. Serverless computing is so named because the business or person that owns the system does not have to purchase, rent or provision servers or virtual machines for the code to run on.
Function as a service (FaaS)
Function as a service (FaaS) is a service-hosted remote procedure call that leverages serverless computing to enable the deployment of individual functions in the cloud that run in response to events. FaaS is included under the broader term serverless computing, but the terms may also be used interchangeably.
Deployment modelsCloud computing types
Private cloud is cloud infrastructure operated solely for a single organization, whether managed internally or by a third-party, and hosted either internally or externally. Undertaking a private cloud project requires significant engagement to virtualize the business environment, and requires the organization to reevaluate decisions about existing resources. It can improve business, but every step in the project raises security issues that must be addressed to prevent serious vulnerabilities. Self-run are generally capital intensive. They have a significant physical footprint, requiring allocations of space, hardware, and environmental controls. These assets have to be refreshed periodically, resulting in additional capital expenditures. They have attracted criticism because users "still have to buy, build, and manage them" and thus do not benefit from less hands-on management, essentially "[lacking] the economic model that makes cloud computing such an intriguing concept".
A cloud is called a "public cloud" when the services are rendered over a network that is open for public use. Public cloud services may be free. Technically there may be little or no difference between public and private cloud architecture, however, security consideration may be substantially different for services (applications, storage, and other resources) that are made available by a service provider for a public audience and when communication is effected over a non-trusted network. Generally, public cloud service providers like (AWS),, Microsoft and Google own and operate the infrastructure at their and access is generally via the Internet. AWS, Oracle, Microsoft, and Google also offer direct connect services called "AWS Direct Connect", "Oracle FastConnect", "Azure ExpressRoute", and "Cloud Interconnect" respectively, such connections require customers to purchase or lease a private connection to a peering point offered by the cloud provider.
Hybrid cloud is a composition of two or more clouds (private, community or public) that remain distinct entities but are bound together, offering the benefits of multiple deployment models. Hybrid cloud can also mean the ability to connect collocation, managed and/or dedicated services with cloud resources. defines a hybrid cloud service as a cloud computing service that is composed of some combination of private, public and community cloud services, from different service providers. A hybrid cloud service crosses isolation and provider boundaries so that it can't be simply put in one category of private, public, or community cloud service. It allows one to extend either the capacity or the capability of a cloud service, by aggregation, integration or customization with another cloud service.
Varied use cases for hybrid cloud composition exist. For example, an organization may store sensitive client data in house on a private cloud application, but interconnect that application to a business intelligence application provided on a public cloud as a software service. This example of hybrid cloud extends the capabilities of the enterprise to deliver a specific business service through the addition of externally available public cloud services. Hybrid cloud adoption depends on a number of factors such as data security and compliance requirements, level of control needed over data, and the applications an organization uses.
Another example of hybrid cloud is one where organizations use public cloud computing resources to meet temporary capacity needs that can not be met by the private cloud. This capability enables hybrid clouds to employ cloud bursting for scaling across clouds. Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. Cloud bursting enables data centers to create an in-house IT infrastructure that supports average workloads, and use cloud resources from public or private clouds, during spikes in processing demands. The specialized model of hybrid cloud, which is built atop heterogeneous hardware, is called "Cross-platform Hybrid Cloud". A cross-platform hybrid cloud is usually powered by different CPU architectures, for example, x86-64 and ARM, underneath. Users can transparently deploy and scale applications without knowledge of the cloud's hardware diversity. This kind of cloud emerges from the raise of ARM-based system-on-chip for server-class computing.
shares infrastructure between several organizations from a specific community with common concerns (security, compliance, jurisdiction, etc.), whether managed internally or by a third-party, and either hosted internally or externally. The costs are spread over fewer users than a public cloud (but more than a private cloud), so only some of the cost savings potential of cloud computing are realized.
A cloud computing platform can be assembled from a distributed set of machines in different locations, connected to a single network or hub service. It is possible to distinguish between two types of distributed clouds: public-resource computing and volunteer cloud.
- Public-resource computing—This type of distributed cloud results from an expansive definition of cloud computing, because they are more akin to distributed computing than cloud computing. Nonetheless, it is considered a sub-class of cloud computing, and some examples include distributed computing platforms such as and.
- Volunteer cloud—Volunteer cloud computing is characterized as the intersection of public-resource computing and cloud computing, where a cloud computing infrastructure is built using volunteered resources. Many challenges arise from this type of infrastructure, because of the volatility of the resources used to built it and the dynamic environment it operates in. It can also be called peer-to-peer clouds, or ad-hoc clouds. An interesting effort in such direction is [email protected], it aims to implement a cloud computing infrastructure using volunteered resources providing a business-model to incentivize contributions through financial restitution.
Multicloud is the use of multiple cloud computing services in a single heterogeneous architecture to reduce reliance on single vendors, increase flexibility through choice, mitigate against disasters, etc. It differs from hybrid cloud in that it refers to multiple cloud services, rather than multiple deployment modes (public, private, legacy).
Big Data cloud
The issues of transferring large amounts of data to the cloud as well as data security once the data is in the cloud initially hampered adoption of cloud for, but now that much data originates in the cloud and with the advent of, the cloud has become a solution for use cases including business and.
HPC cloud refers to the use of cloud computing services and infrastructure to execute (HPC) applications. These applications consume considerable amount of computing power and memory and are traditionally executed on clusters of computers. Various vendors offer servers that can support the execution of these applications. In HPC cloud, the deployment model allows all HPC resources to be inside the cloud provider infrastructure or different portions of HPC resources to be shared between cloud provider and client on-premise infrastructure. The adoption of cloud to run HPC applications started mostly for applications composed of independent tasks with no inter-process communication. As cloud providers began to offer high-speed network technologies such as, multiprocessing tightly coupled applications started to benefit from cloud as well.
ArchitectureCloud computing sample architecture
Cloud architecture, the of the involved in the delivery of cloud computing, typically involves multiple cloud components communicating with each other over a loose coupling mechanism such as a messaging queue. Elastic provision implies intelligence in the use of tight or loose coupling as applied to mechanisms such as these and others.
is the application of disciplines to cloud computing. It brings a systematic approach to the high-level concerns of commercialization, standardization, and governance in conceiving, developing, operating and maintaining cloud computing systems. It is a multidisciplinary method encompassing contributions from diverse areas such as,,,,,,,, and engineering.
Security and privacy
Cloud computing poses privacy concerns because the service provider can access the data that is in the cloud at any time. It could accidentally or deliberately alter or even delete information. Many cloud providers can share information with third parties if necessary for purposes of law and order even without a warrant. That is permitted in their privacy policies, which users must agree to before they start using cloud services. Solutions to privacy include policy and legislation as well as end users' choices for how data is stored. Users can encrypt data that is processed or stored within the cloud to prevent unauthorized access.
According to the Cloud Security Alliance, the top three threats in the cloud are Insecure Interfaces and API's, Data Loss & Leakage, and Hardware Failure—which accounted for 29%, 25% and 10% of all cloud security outages respectively. Together, these form shared technology vulnerabilities. In a cloud provider platform being shared by different users there may be a possibility that information belonging to different customers resides on same data server. Additionally,, chief technology officer at Emagined Security, said that hackers are spending substantial time and effort looking for ways to penetrate the cloud. "There are some real Achilles' heels in the cloud infrastructure that are making big holes for the bad guys to get into". Because data from hundreds or thousands of companies can be stored on large cloud servers, hackers can theoretically gain control of huge stores of information through a single attack—a process he called "hyperjacking". Some examples of this include the Dropbox security breach, and iCloud 2014 leak. Dropbox had been breached in October 2014, having over 7 million of its users passwords stolen by hackers in an effort to get monetary value from it by Bitcoins (BTC). By having these passwords, they are able to read private data as well as have this data be indexed by search engines (making the information public).
There is the problem of legal ownership of the data (If a user stores some data in the cloud, can the cloud provider profit from it?). Many Terms of Service agreements are silent on the question of ownership. Physical control of the computer equipment (private cloud) is more secure than having the equipment off site and under someone else's control (public cloud). This delivers great incentive to public cloud computing service providers to prioritize building and maintaining strong management of secure services. Some small businesses that don't have expertise in security could find that it's more secure for them to use a public cloud. There is the risk that end users do not understand the issues involved when signing on to a cloud service (persons sometimes don't read the many pages of the terms of service agreement, and just click "Accept" without reading). This is important now that cloud computing is becoming popular and required for some services to work, for example for an (Apple's or ). Fundamentally, private cloud is seen as more secure with higher levels of control for the owner, however public cloud is seen to be more flexible and requires less time and money investment from the user.
Limitations and disadvantages
According to, "The downside is that you will have limited customization options. Cloud computing is cheaper because of, and — like any outsourced task — you tend to get what you get. A restaurant with a limited menu is cheaper than a personal chef who can cook anything you want. Fewer options at a much cheaper price: it's a feature, not a bug." He also suggests that "the cloud provider might not meet your legal needs" and that businesses need to weigh the benefits of cloud computing against the risks. In cloud computing, the control of the back end infrastructure is limited to the cloud vendor only. Cloud providers often decide on the management policies, which moderates what the cloud users are able to do with their deployment. Cloud users are also limited to the control and management of their applications, data and services. This includes data caps, which are placed on cloud users by the cloud vendor allocating certain amount of bandwidth for each customer and are often shared among other cloud users.
Privacy and are big concerns in some activities. For instance, sworn translators working under the stipulations of an, might face problems regarding that are not.
Cloud computing is beneficial to many enterprises; it lowers costs and allows them to focus on competence instead of on matters of IT and infrastructure. Nevertheless, cloud computing has proven to have some limitations and disadvantages, especially for smaller business operations, particularly regarding security and downtime. Technical outages are inevitable and occur sometimes when cloud service providers become overwhelmed in the process of serving their clients. This may result to temporary business suspension. Since this technology's systems rely on the internet, an individual cannot be able to access their applications, server or data from the cloud during an outage.
Cloud computing is still a subject of research. A driving factor in the evolution of cloud computing has been seeking to minimize risk of internal outages and mitigate the complexity of housing network and computing hardware in-house. Major cloud technology companies invest billions of dollars per year in cloud. For example, in 2011 Microsoft committed 90 percent of its.6 billion budget to its cloud. Research by investment bank Centaur Partners in late 2015 forecasted that SaaS revenue would grow from.5 billion in 2011 to.8 billion in 2016.
Digital forensics in the cloud
The issue of carrying out investigations where the cloud storage devices cannot be physically accessed has generated a number of changes to the way that digital evidence is located and collected. New process models have been developed to formalize collection.
In some scenarios existing digital forensics tools can be employed to access cloud storage as networked drives (although this is a slow process generating a large amount of internet traffic).
An alternative approach is to deploy a tool that processes in the cloud itself
For organizations using Office 365 with an 'E5' subscription there is the option to use Microsoft's built-in ediscovery resources, although these do not provide all the functionality that is typically required for a forensic process.
- ^. Amazon Web Services. 2013-03-19. Retrieved 2013-03-20.
- Baburajan, Rajani (2011-08-24).. It.tmcnet.com. Retrieved 2011-12-02.
- Oestreich, Ken, (2010-11-15).. CTO Forum. Thectoforum.com. Archived from on 2012-01-13. Retrieved 2011-12-02. CS1 maint: Multiple names: authors list ()
- . 2014-02-27. Retrieved 2014-07-14.
- . The Economist. 2009-10-15. Retrieved 2009-11-03.
- . Gartner. Retrieved 2010-08-22.
- Gruman, Galen (2008-04-07)... Retrieved 2009-06-02.
- ^. Amazon.com. 24 August 2006. Retrieved 31 May 2014.
- Antonio Regalado (31 October 2011).. Technology Review. MIT. Retrieved 31 July 2013.
- (1993).. Retrieved 2017-10-26. You can think of our electronic meeting place as the Cloud. PersonaLink was built from the ground up to give handheld communicators and other devices easy access to a variety of services. [...] Telescript is the revolutionary software technology that makes intelligent assistance possible. Invented by General Magic, AT&T is the first company to harness Telescript, and bring its benefits to people everywhere. [...] Very shortly, anyone with a computer, a personal communicator, or a television will be able to use intelligent assistance in the Cloud. And our new meeting place is open, so that anyone, whether individual, entrepreneur, or multinational company, will be able to offer information, goods, and services.
- Steven Levy (April 1994).. Wired.
- White, J.E.. tools.ietf.org. Retrieved 2016-03-21.
- . : Switch. Archived from on 2012-07-10. Retrieved 2010-08-22.
- Corbató, Fernando J.. SJCC Proceedings. MIT. Retrieved 3 July 2012.
- Levy, Steven (April 1994)...
- Levy, Steven (2014-05-23)...... AT&T and the film’s director, David Hoffman, pulled out the cloud metaphor–something that had long been used among networking and telecom types....
“You can think of our electronic meeting place as the cloud,” says the film’s narrator,...
David Hoffman, the man who directed the film and shaped all that cloud imagery, was a General Magic employee.
- . Google Developer Blog. 2008-04-07. Retrieved 2017-03-07.
- Rochwerger, B.; Breitgand, D.; Levy, E.; Galis, A.; Nagin, K.; Llorente, I. M.; Montero, R.; Wolfsthal, Y.; Elmroth, E.; Caceres, J.; Ben-Yehuda, M.; Emmerich, W.; Galan, F. "The Reservoir model and architecture for open federated cloud computing". IBM Journal of Research and Development. 53 (4): 4:1–4:11. :.
- , Amy Schurr, Network World, 2008-07-08, citing the report, "Cloud Computing Confusion Leads to Opportunity". Retrieved 2009-09-11.
- Gartner (2008-08-18)..
- . The Official Microsoft Blog. Microsoft. 2010-02-01. Retrieved 2015-05-03.
- Milita Datta (August 9, 2016).. DZone · Cloud Zone.
- . SoftwareInsider. 
- Kostantos, Konstantinos, et al. "OPEN-source IaaS fit for purpose: a comparison between OpenNebula and OpenStack." International Journal of Electronic Business Management 11.3 (2013)
- L. Albertson, “OpenStack vs. Ganeti”, LinuxFest Northwest 2017
- Qevani, Elton, et al. "What can OpenStack adopt from a Ganeti-based open-source IaaS?." Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on. IEEE, 2014
- Von Laszewski, Gregor, et al. "Comparison of multiple cloud frameworks.", IEEE 5th International Conference on Cloud Computing (CLOUD), 2012.
- Diaz, Javier et al. " Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures ", IEEE 5th International Conference on Cloud Computing (CLOUD), 2012
- . Archived from on 20 April 2013. Retrieved 1 March 2011.
- . Retrieved 28 February 2014.
- . Retrieved 12 October 2014.
- . Forbes.com. Retrieved 12 October 2014.
- . Forbes.com. Retrieved 12 October 2014.
- . Google Developers Blog. 2013-12-02. Retrieved 2017-03-07.
- ^ HAMDAQA, Mohammad (2012). (PDF). Elsevier Press. pp. 41–85. .
- (PDF). Sun Microsystem. Retrieved 2009-06-16.
- . TechPluto. Retrieved 2010-09-14.
- Danielson, Krissi (2008-03-26).. Ebizq.net. Retrieved 2010-08-22.
- . CloudAve. Retrieved 2010-08-22.
- ^. IDC. 2008-09-23. Archived from on 2010-07-22. Retrieved 2010-08-22.
- Farber, Dan (2008-06-25)... Retrieved 2010-08-22.
- . Business Week.
- He, Sijin; Guo, L.; Guo, Y.; Ghanem, M.. 2012 2012 IEEE 5th International Conference on Cloud Computing (CLOUD): 574–581. :. .
- He, Qiang, et al. "Formulating Cost-Effective Monitoring Strategies for Service-based Systems." (2013): 1-1.
- A Self-adaptive hierarchical monitoring mechanism for Clouds
- (23 May 2013).. John Wiley & Sons. pp. 37–. .
- King, Rachael (2008-08-04).. Bloomberg BusinessWeek. Retrieved 2010-08-22.
- Dario Bruneo, Salvatore Distefano, Francesco Longo, Antonio Puliafito, Marco Scarpa:. IEEE Trans. Computers 62(6): 1072–1085 (2013)
- . KIT Software Quality Departement. Retrieved 13 August 2011.
- . Cloud Slam 2011. Retrieved 13 May 2011.
- He, Sijin; L. Guo; Y. Guo; C. Wu; M. Ghanem; R. Han.. 2012 IEEE 26th International Conference on Advanced Information Networking and Applications (AINA): 15–22. :. .
- Marston, Sean; Li, Zhi; Bandyopadhyay, Subhajyoti; Zhang, Juheng; Ghalsasi, Anand (2011-04-01).. Decision Support Systems. 51 (1): 176–189. :.
- Mills, Elinor (2009-01-27).. CNET News. Retrieved 2010-08-22.
- ^ Peter Mell; Timothy Grance (September 2011). (Technical report). National Institute of Standards and Technology: U.S. Department of Commerce. :. Special publication 800-145.
- Duan, Yucong; Fu, Guohua; Zhou, Nianjun; Sun, Xiaobing; Narendra, Nanjangud; Hu, Bo...
- . Elastichosts. 2014-04-01. Retrieved 2016-06-02.
- Amies, Alex; Sluiman, Harm; Tong, Qiang Guo; Liu, Guo Ning (July 2012). "Infrastructure as a Service Cloud Concepts".. IBM Press. .
- Boniface, M.; et al. (2010).. 5th International Conference on Internet and Web Applications and Services (ICIW). Barcelona, Spain: IEEE. pp. 155–160. :.
- . Retrieved 22 April 2015.
- . Media.io. Retrieved 21 July 2017.
- Gartner.. Retrieved 6 July 2015.
- Gartner; Massimo Pezzini; Paolo Malinverno; Eric Thoo.. Retrieved 16 January 2013.
- Loraine Lawson.. Retrieved 6 July 2015.
- Enterprise CIO Forum; Gabriel Lowy.. Archived from on 19 April 2015. Retrieved 6 July 2015.
- . azure.microsoft.com. Retrieved 2016-08-22.
- . cloud.oracle.com. Retrieved 2017-11-15.
- . PC Magazine Encyclopedia.. Retrieved 14 May 2014.
- Hamdaqa, Mohammad. (PDF).
- Chou, Timothy..
- (PDF). Intrinsic Technology. Archived from (PDF) on 2 October 2012. Retrieved 30 August 2012.
- Carney, Michael... Retrieved 24 June 2013.
- Alex Williams (11 October 2012).. TechCrunch. Retrieved 16 October 2012.
- Aaron Tan (30 September 2012).. Techgoondu.com. Retrieved 16 October 2012.
- Dan Rowinski (9 November 2011).. ReadWrite. Retrieved 23 October 2012.
- Pankaj Mishra (7 January 2014).. TechCrunch. Retrieved 22 May 2014.
- . programmableweb. Retrieved 3 March 2014.
- ^ Miller, Ron (24 Nov 2015)... Retrieved 10 July 2016.
- . martinfowler.com. Retrieved 2018-05-04.
- Sbarski, Peter (2017-05-04). Serverless Architectures on AWS: With examples using AWS Lambda (1st ed.). Manning Publications. .
- . govconnection.com. 2014. Retrieved April 15, 2014.
- . 2012-09-09. Archived from on 2012-09-09.
- Haff, Gordon (2009-01-27).. CNET News. Retrieved 2010-08-22.
- . 2013-01-26. Archived from on 2013-01-26.
- Rouse, Margaret.. Definition from Whatis.com. Retrieved 12 October 2014.
- . cloud.oracle.com. Retrieved 2017-11-15.
- . Thomas Bittman. Retrieved 22 April 2015.
- . CIO.com. 2014-06-04. Retrieved 2014-06-04.
- Désiré Athow.. TechRadar. Retrieved 22 April 2015.
- Metzler, Jim; Taylor, Steve. (2010-08-23), Network World.
- Rouse, Margaret., May 2011. SearchCloudComputing.com.
- Kaewkasi, Chanwit (3 May 2015)..
- Vincenzo D. Cunsolo, Salvatore Distefano, Antonio Puliafito, Marco Scarpa:. IEEE International Symposium on Network Computing and Applications, NCA 2009, pp 134–139
- Rouse, Margaret.. SearchCloudApplications. Retrieved 3 July 2014.
- King, Rachel.. ZDnet. Retrieved 3 July 2014.
- . Retrieved on 06 August 2014
- Roh, Lucas (31 August 2016).. dataconomy.com. Retrieved 29 January 2018.
- Yang, Choawei (2016).. International Journal of Digital Earth (1): 13–53. :.
- Netto, M.; Calheiros, R.; Rodrigues, E.; Cunha, R.; Buyya, R. (2018). "HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges". ACM Computing Surveys. 51 (1): 8:1–8:29. :.
- . Retrieved 23 January 2018.
- . Retrieved 23 January 2018.
- "HPC in Microsoft Azure". Retrieved 23 January 2018.
- . Retrieved 23 January 2018.
- . Developer.amazonwebservices.com. Retrieved 22 August 2010.
- M. Haghighat, S. Zonouz, & M. Abdel-Mottaleb (2015).. Expert Systems with Applications, 42(21), 7905–7916.
- ^. psg.hitachi-solutions.com. Retrieved 2015-11-22.
- Maltais, Michelle (26 April 2012).. Los Angeles Times. Retrieved 2012-12-14.
- . Network World. 2010-02-22. Retrieved 2010-08-22.
- . Retrieved 8 October 2014.
- . www.schneier.com. Retrieved 2016-02-28.
- . www.cloudacademy.com. Retrieved 2016-11-03.
- ^. www.itworld.com. Retrieved 2016-11-03.
- Karra, Maria.. .org. Retrieved 23 February 2017.
- Smith, David Mitchell.. Gartner. Retrieved 3 July 2014.
- . Retrieved 22 April 2015.
- . Archived from on 18 October 2013. Retrieved 22 April 2015.
- . Forbes. Retrieved 2015-11-22.
- Ruan, Keyun; Carthy, Joe; Kechadi, Tahar; Crosbie, Mark (2011-01-01)..
- R., Adams, (2013).. researchrepository.murdoch.edu.au. Retrieved 2018-03-18.
- Richard, Adams,; Graham, Mann,; Valerie, Hobbs, (2017).. Research Online. :.
- . Retrieved 2018-03-18.
- Millard, Christopher (2013).. Oxford University Press. .
- Singh, Jatinder; Powles, Julia; Pasquier, Thomas; Bacon, Jean (July 2015). "Data Flow Management and Compliance in Cloud Computing". IEEE Cloud Computing. 2 (4): 24–32. :.
- Armbrust, Michael; Stoica, Ion; Zaharia, Matei; Fox, Armando; Griffith, Rean; Joseph, Anthony D.; Katz, Randy; Konwinski, Andy; Lee, Gunho; Patterson, David; Rabkin, Ariel (1 April 2010). "A view of cloud computing". Communications of the ACM. 53 (4): 50. :.
- Hu, Tung-Hui (2015). A Prehistory of the Cloud. MIT Press. .
- Mell, P. (2011, September 31). The NIST Definition of Cloud Computing. Retrieved November 1, 2015, from National Institute of Standards and Technology website: http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf
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