See more Cloud computing articles on AOD.

Powered by
Share this page on
Article provided by Wikipedia

See also: "Category:Cloud infrastructure

According to the "Internet Engineering Task Force (IETF), the most basic cloud-service model is that of providers offering computing infrastructure – "virtual machines and other resources – as a service to subscribers. Infrastructure as a service (IaaS) refers to online services that abstract the user from the details of infrastructure like physical computing resources, location, data partitioning, scaling, security, backup etc. A "hypervisor, such as "Xen, "Oracle VirtualBox, "Oracle VM, "KVM, "VMware ESX/ESXi, or "Hyper-V, 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 "Linux kernel running directly on the physical hardware. Linux "cgroups 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.[63] IaaS clouds often offer additional resources such as a virtual-machine "disk-image library, raw "block storage, file or "object storage, firewalls, load balancers, IP addresses, "virtual local area networks (VLANs), and software bundles.[64]

IaaS-cloud providers supply these resources on-demand from their large pools of equipment installed in "data centers. For "wide-area connectivity, customers can use either the Internet or "carrier clouds (dedicated "virtual private networks). To deploy their applications, cloud users install operating-system images and their application software on the cloud infrastructure.[65]["unreliable source?] 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.[66][67][68][69]

Platform as a service (PaaS)[edit]

Platform as a service Category:Cloud platforms

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 "computing platform, 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 "Microsoft Azure and "Google App Engine, 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.[70]["need quotation to verify] Even more specific application types can be provided via PaaS, such as media encoding as provided by services like[71] or[72]

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.[73] Under the iPaaS integration model, customers drive the development and deployment of integrations without installing or managing any hardware or middleware.[74] dPaaS delivers integration—and data-management—products as a fully managed service.[75] 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 "data-visualization tools.[76] 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 "Blockchain as a Service (BaaS), that some vendors such as "Microsoft Azure have already included in their PaaS offering.[77]

Software as a service (SaaS)[edit]

Software as a service

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.[78] 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 "virtual machines at run-time to meet changing work demand.[79] "Load balancers 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 "multitenant, 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,[80] so prices become scalable and adjustable if users are added or removed at any point.[81] Proponents claim that SaaS gives a "business 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,["citation needed] there could be unauthorized access to the data. For this reason, users are increasingly["quantify] adopting intelligent third-party "key-management systems to help secure their data.["citation needed]

Mobile "backend" as a service (MBaaS)[edit]

Mobile backend as a service

In the mobile "backend" as a service (m) model, also known as backend as a service (BaaS), "web app and "mobile app developers are provided with a way to link their applications to "cloud storage and cloud computing services with "application programming interfaces (APIs) exposed to their applications and custom "software development kits (SDKs). Services include user management, "push notifications, integration with "social networking services[82] and more. This is a relatively recent model in cloud computing,[83] with most BaaS "startups dating from 2011 or later[84][85][86] but trends indicate that these services are gaining significant mainstream traction with enterprise consumers.[87]

Serverless computing[edit]

Serverless computing

Serverless computing is a cloud computing code "execution model in which the cloud provider fully manages starting and stopping "virtual machines 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.[88] Despite the name, it does not actually involve running code without servers.[88] 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 "back-end code to run on.

Cloud clients[edit]

Category:Cloud clients and Cloud API

Users access cloud computing using networked client devices, such as "desktop computers, "laptops, "tablets and "smartphones and any Ethernet enabled device such as Home Automation Gadgets. Some of these devices—cloud clients—rely on cloud computing for all or a majority of their applications so as to be essentially useless without it. Examples are "thin clients and the browser-based "Chromebook. Many cloud applications do not require specific software on the client and instead use a web browser to interact with the cloud application. With "Ajax and "HTML5 these "Web user interfaces can achieve a similar, or even better, "look and feel to native applications. Some cloud applications, however, support specific client software dedicated to these applications (e.g., "virtual desktop clients and most email clients). Some legacy applications (line of business applications that until now have been prevalent in thin client computing) are delivered via a screen-sharing technology.

Deployment models[edit]

Cloud computing types

Private cloud[edit]

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.[2] Undertaking a private cloud project requires a significant level and degree of engagement to virtualize the business environment, and requires the organization to reevaluate decisions about existing resources. When done right, it can improve business, but every step in the project raises security issues that must be addressed to prevent serious vulnerabilities. Self-run data centers[89] 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,[90] essentially "[lacking] the economic model that makes cloud computing such an intriguing concept".[91][92]

Public cloud[edit]

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.[93] 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 "Amazon Web Services (AWS), Microsoft and Google own and operate the infrastructure at their "data center and access is generally via the Internet. AWS and Microsoft also offer direct connect services called "AWS Direct Connect" and "Azure ExpressRoute" respectively, such connections require customers to purchase or lease a private connection to a peering point offered by the cloud provider.[45]

Hybrid cloud[edit]

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.[2] "Gartner, Inc. 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.[94] 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.[95] 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.[96]

Another example of hybrid cloud is one where "IT organizations use public cloud computing resources to meet temporary capacity needs that can not be met by the private cloud.[97] This capability enables hybrid clouds to employ cloud bursting for scaling across clouds.[2] 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.[98] 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.[99] 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.[100] This kind of cloud emerges from the raise of ARM-based system-on-chip for server-class computing.


Community cloud[edit]

"Community cloud 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.[2]

Distributed cloud[edit]

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 "BOINC and "Folding@Home.
  • 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 Cloud@Home, it aims to implement a cloud computing infrastructure using volunteered resources providing a business-model to incentivize contributions through financial restitution.[101]



The "Intercloud[102] is an interconnected global "cloud of clouds"[103][104] and an extension of the Internet "network of networks" on which it is based. The focus is on direct "interoperability between public cloud service providers, more so than between providers and consumers (as is the case for hybrid- and multi-cloud).[105][106][107]



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).[108][109][110]


Cloud computing sample architecture

Cloud architecture,[111] the "systems architecture of the "software systems 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.

Cloud engineering[edit]

"Cloud engineering is the application of "engineering 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 "systems, "software, "web, "performance, "information, "security, "platform, "risk, and "quality engineering.

Security and privacy[edit]

Cloud computing issues

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.[112] 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.[112] Users can encrypt data that is processed or stored within the cloud to prevent unauthorized access.[3][112]

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. Therefore, Information leakage may arise by mistake when information for one customer is given to other.[113] Additionally, "Eugene Schultz, 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.[114] 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).[114]

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.[115] 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.[116] Some small businesses that don't have expertise in "IT 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 "intelligent personal assistant (Apple's "Siri or "Google Now). 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.[117]

Limitations and disadvantages[edit]

According to "Bruce Schneier, "The downside is that you will have limited customization options. Cloud computing is cheaper because of "economics of scale, 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.[118] 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.[119] Cloud users are also limited to the control and management of their applications, data and services.[120] 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.[121]

Privacy and "confidentiality are big concerns in some activities. For instance, sworn translators working under the stipulations of an "NDA, might face problems regarding "sensitive data that are not "encrypted.[122]

Emerging trends[edit]

Cloud computing is still a subject of research.[123] A driving factor in the evolution of cloud computing has been "Chief technology officers seeking to minimize risk of internal outages and mitigate the complexity of housing network and computing hardware in-house.[124] Major cloud technology companies invest billions of dollars per year in cloud "Research and Development. For example, in 2011 Microsoft committed 90 percent of its $9.6 billion "R&D budget to its cloud.[125] Research by investment bank Centaur Partners in late 2015 forecasted that "SaaS revenue would grow from $13.5 billion in 2011 to $32.8 billion in 2016.[126]

See also[edit]


  1. ^ Hassan, Qusay (2011). "Demystifying Cloud Computing" (PDF). The Journal of Defense Software Engineering. CrossTalk. 2011 (Jan/Feb): 16–21. Retrieved 11 December 2014. 
  2. ^ a b c d e f g h Peter Mell and Timothy Grance (September 2011). The NIST Definition of Cloud Computing (Technical report). National Institute of Standards and Technology: U.S. Department of Commerce. "doi:10.6028/NIST.SP.800-145. Special publication 800-145. 
  3. ^ a b M. Haghighat, S. Zonouz, & M. Abdel-Mottaleb (2015). CloudID: Trustworthy Cloud-based and Cross-Enterprise Biometric Identification. Expert Systems with Applications, 42(21), 7905–7916.
  4. ^ a b "What is Cloud Computing?". Amazon Web Services. 2013-03-19. Retrieved 2013-03-20. 
  5. ^ Baburajan, Rajani (2011-08-24). "The Rising Cloud Storage Market Opportunity Strengthens Vendors". Retrieved 2011-12-02. 
  6. ^ Oestreich, Ken, (2010-11-15). "Converged Infrastructure". CTO Forum. Retrieved 2011-12-02. 
  7. ^ "Where's The Rub: Cloud Computing's Hidden Costs". 2014-02-27. Retrieved 2014-07-14. 
  8. ^ "Cloud Computing: Clash of the clouds". The Economist. 2009-10-15. Retrieved 2009-11-03. 
  9. ^ "Gartner Says Cloud Computing Will Be As Influential As E-business". Gartner. Retrieved 2010-08-22. 
  10. ^ Gruman, Galen (2008-04-07). "What cloud computing really means". "InfoWorld. Retrieved 2009-06-02. 
  11. ^ Dealey, C. "Cloud Computing Working Group", Network Centric Operations Industry Consortium - NCOIC, 2013
  12. ^ "The economy is flat so why are financials Cloud vendors growing at more than 90 percent per annum?". FSN. March 5, 2013. 
  13. ^ "Realization of Interoperability & Portability Among Open Clouds by Using Agent's Mobility & Intelligence - TechRepublic". TechRepublic. Retrieved 2015-10-24. 
  14. ^ "Interoperability and Portability among Open Clouds Using FIPA Agent / 978-3-659-24863-4 / 9783659248634 / 3659248630". Retrieved 2015-10-24. 
  15. ^ Hassan, Qusay F.; Riad, laa M.; Hassan, Ahmed E. (2012). "Software reuse in the emerging cloud computing era". In "Yang, Hongji; Liu, Xiaodong. Understanding Cloud Computing (PDF). Hershey, PA: Information Science Reference. pp. 204–227. "doi:10.4018/978-1-4666-0897-9.ch009. "ISBN "978-1-4666-0897-9. Retrieved 11 December 2014. 
  16. ^ Schmidt, Eric; Rosenberg, Jonathan (2014). How Google Works. Grand Central Publishing. p. 11. "ISBN "978-1-4555-6059-2. 
  17. ^ "Internet History 1977". 
  18. ^ "National Science Foundation, "Diagram of CSNET," 1981". 
  19. ^ Steven Levy (April 1994). "Bill and Andy's Excellent Adventure II". Wired.
  20. ^ Antonio Regalado (31 October 2011). "Who Coined 'Cloud Computing'?". Technology Review. MIT. Retrieved 31 July 2013. 
  21. ^ a b "Announcing Amazon Elastic Compute Cloud (Amazon EC2) - beta". 2006-08-24. Retrieved 2014-05-31. 
  22. ^ White, J.E. "Network Specifications for Remote Job Entry and Remote Job Output Retrieval at UCSB". Retrieved 2016-03-21. 
  23. ^ "July, 1993 meeting report from the IP over ATM working group of the IETF". "CH: Switch. Retrieved 2010-08-22. 
  24. ^ Corbató, Fernando J. "An Experimental Time-Sharing System". SJCC Proceedings. MIT. Retrieved 3 July 2012. 
  25. ^ 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. "doi:10.1147/JRD.2009.5429058. 
  26. ^ Kyriazis, D; A Menychtas; G Kousiouris; K Oberle; T Voith; M Boniface; E Oliveros; T Cucinotta; S Berger (November 2010). "A Real-time Service Oriented Infrastructure". International Conference on Real-Time and Embedded Systems (RTES 2010). Singapore. 
  27. ^ Gogouvitis, Spyridon; Konstanteli, Kleopatra; Waldschmidt, Stefan; Kousiouris, George; Katsaros, Gregory; Menychtas, Andreas; Kyriazis, Dimosthenis; Varvarigou, Theodora (2012). "Workflow management for soft real-time interactive applications in virtualized environments". Future Generation Computer Systems. 28 (1): 193–209. "doi:10.1016/j.future.2011.05.017. "ISSN 0167-739X. 
  28. ^ Keep an eye on cloud computing, Amy Schurr, Network World, 2008-07-08, citing the "Gartner report, "Cloud Computing Confusion Leads to Opportunity". Retrieved 2009-09-11.
  29. ^ Gartner (2008-08-18). "Gartner Says Worldwide IT Spending On Pace to Surpass Trillion in 2008". 
  30. ^ "Windows Azure General Availability". The Official Microsoft Blog. Microsoft. 2010-02-01. Retrieved 2015-05-03. 
  31. ^ "Faenov - Cluster Platform SL230s Gen8, Xeon E5-2670 8C 2.600GHz, Infiniband QDR - TOP500 Supercomputer Sites". 
  32. ^ "Launch of IBM Smarter Computing". Retrieved 1 March 2011. 
  33. ^ "Launch of Oracle Cloud". Retrieved 28 February 2014. 
  34. ^ "Oracle Cloud, Enterprise-Grade Cloud Solutions: SaaS, PaaS, and IaaS". Retrieved 12 October 2014. 
  35. ^ "Larry Ellison Doesn't Get the Cloud: The Dumbest Idea of 2013". Retrieved 12 October 2014. 
  36. ^ "Oracle Disrupts Cloud Industry with End-to-End Approach". Retrieved 12 October 2014. 
  37. ^ "Introducing Google App Engine + our new blog". Google Developer Blog. 2008-04-07. Retrieved 2017-03-07. 
  38. ^ "Google Compute Engine is now Generally Available with expanded OS support, transparent maintenance, and lower prices". Google Developers Blog. 2013-12-02. Retrieved 2017-03-07. 
  39. ^ a b c HAMDAQA, Mohammad (2012). Cloud Computing Uncovered: A Research Landscape (PDF). Elsevier Press. pp. 41–85. "ISBN "0-12-396535-7. 
  40. ^ "Distributed Application Architecture" (PDF). Sun Microsystem. Retrieved 2009-06-16. 
  41. ^ Skala, Karolj; Davidović, Davor; Afgan, Enis; Sović, Ivan; Šojat, Zorislav (2015-12-31). "Scalable Distributed Computing Hierarchy: Cloud, Fog and Dew Computing". Open Journal of Cloud Computing. RobPub. 2 (1): 16–24. "ISSN 2199-1987. 
  42. ^ "It's probable that you've misunderstood 'Cloud Computing' until now". TechPluto. Retrieved 2010-09-14. 
  43. ^ Danielson, Krissi (2008-03-26). "Distinguishing Cloud Computing from Utility Computing". Retrieved 2010-08-22. 
  44. ^ "Recession Is Good For Cloud Computing – Microsoft Agrees". CloudAve. Retrieved 2010-08-22. 
  45. ^ a b c d "Defining 'Cloud Services' and "Cloud Computing"". IDC. 2008-09-23. Retrieved 2010-08-22. 
  46. ^ "e-FISCAL project state of the art repository". 
  47. ^ Farber, Dan (2008-06-25). "The new geek chic: Data centers". "CNET News. Retrieved 2010-08-22. 
  48. ^ "Jeff Bezos' Risky Bet". Business Week. 
  49. ^ He, Sijin; Guo, L.; Guo, Y.; Ghanem, M. "Improving Resource Utilisation in the Cloud Environment Using Multivariate Probabilistic Models". 2012 2012 IEEE 5th International Conference on Cloud Computing (CLOUD): 574–581. "doi:10.1109/CLOUD.2012.66. "ISBN "978-1-4673-2892-0. 
  50. ^ He, Qiang, et al. "Formulating Cost-Effective Monitoring Strategies for Service-based Systems." (2013): 1-1.
  51. ^ A Self-adaptive hierarchical monitoring mechanism for Clouds
  52. ^ "Heather Smith (23 May 2013). Xero For Dummies. John Wiley & Sons. pp. 37–. "ISBN "978-1-118-57252-8. 
  53. ^ King, Rachael (2008-08-04). "Cloud Computing: Small Companies Take Flight". Bloomberg BusinessWeek. Retrieved 2010-08-22. 
  54. ^ a b Mao, Ming; M. Humphrey (2012). "A Performance Study on the VM Startup Time in the Cloud". Proceedings of 2012 IEEE 5th International Conference on Cloud Computing (Cloud2012): 423. "doi:10.1109/CLOUD.2012.103. "ISBN "978-1-4673-2892-0. 
  55. ^ Dario Bruneo, Salvatore Distefano, Francesco Longo, Antonio Puliafito, Marco Scarpa: Workload-Based Software Rejuvenation in Cloud Systems. IEEE Trans. Computers 62(6): 1072–1085 (2013)
  56. ^ "Defining and Measuring Cloud Elasticity". KIT Software Quality Departement. Retrieved 13 August 2011. 
  57. ^ "Economies of Cloud Scale Infrastructure". Cloud Slam 2011. Retrieved 13 May 2011. 
  58. ^ He, Sijin; L. Guo; Y. Guo; C. Wu; M. Ghanem; R. Han. "Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning". 2012 IEEE 26th International Conference on Advanced Information Networking and Applications (AINA): 15–22. "doi:10.1109/AINA.2012.74. "ISBN "978-1-4673-0714-7. 
  59. ^ Marston, Sean; Li, Zhi; Bandyopadhyay, Subhajyoti; Zhang, Juheng; Ghalsasi, Anand (2011-04-01). "Cloud computing — The business perspective". Decision Support Systems. 51 (1): 176–189. "doi:10.1016/j.dss.2010.12.006. 
  60. ^ Mills, Elinor (2009-01-27). "Cloud computing security forecast: Clear skies". CNET News. Retrieved 2010-08-22. 
  61. ^ Kurdi, Heba; Li, Maozhen; Al-Raweshidy, H. S. (2010). "Taxonomy of Grid Systems". In Antonopoulos, Nick. Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications. IGI Global research collection. IGI Global. p. 34. "ISBN "978-1-61520-687-2. Retrieved 2015-07-29. Nowadays Service-Oriented Architecture (SOA) has become as [sic] the main architectural model of many IT initiatives including grid, cloud and everything as a service (Essa\XaaS\aas) computing. 
  62. ^ Alcaraz Calero, Jose M.; König, Benjamin; Kirschnick, Johannes (2012). "Cross-Layer Monitoring in Cloud Computing". In Rashvand, Habib F.; Kavian, Yousef S. Using Cross-Layer Techniques for Communication Systems. Premier reference source. IGI Global. p. 329. "ISBN "978-1-4666-0961-7. Retrieved 2015-07-29. Cloud Computing provides services on a stack composed of three service layers (Hurwitz, Bloor, Kaufman, & Halper, 2009): Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). 
  63. ^ "ElasticHosts Blog". Elastichosts. 2014-04-01. Retrieved 2016-06-02. 
  64. ^ Amies, Alex; Sluiman, Harm; Tong, Qiang Guo; Liu, Guo Ning (July 2012). "Infrastructure as a Service Cloud Concepts". Developing and Hosting Applications on the Cloud. IBM Press. "ISBN "978-0-13-306684-5. 
  65. ^ Ananich, Anthony (February 20, 2016). "What is IaaS?". Retrieved 2016-02-20. 
  66. ^ "Amazon EC2 Pricing". Retrieved 7 July 2014. 
  67. ^ "Compute Engine Pricing". Retrieved 7 July 2014. 
  68. ^ "Microsoft Azure Virtual Machines Pricing Details". Retrieved 7 July 2014. 
  69. ^ "". 
  70. ^ Boniface, M.; et al. (2010), Platform-as-a-Service Architecture for Real-Time Quality of Service Management in Clouds, 5th International Conference on Internet and Web Applications and Services (ICIW), Barcelona, Spain: IEEE, pp. 155–160, "doi:10.1109/ICIW.2010.91 
  71. ^ "bitcodin – cloud based transcoding and streaming". Retrieved 22 April 2015. 
  72. ^
  73. ^ Gartner. "Gartner IT Glossary". Retrieved 6 July 2015. 
  74. ^ Gartner; Massimo Pezzini; Paolo Malinverno; Eric Thoo. "Gartner Reference Model for Integration PaaS". Retrieved 16 January 2013. 
  75. ^ Loraine Lawson. "IT Business Edge". Retrieved 6 July 2015. 
  76. ^ Enterprise CIO Forum; Gabriel Lowy. "The Value of Data Platform-as-a-Service (dPaaS)". Retrieved 6 July 2015. 
  77. ^ "Blockchain as a Service (BaaS) | Microsoft Azure". Retrieved 2016-08-22. 
  78. ^ "Definition of: SaaS". PC Magazine Encyclopedia. "Ziff Davis. Retrieved 14 May 2014. 
  79. ^ Hamdaqa, Mohammad. A Reference Model for Developing Cloud Applications (PDF). 
  80. ^ Chou, Timothy. Introduction to Cloud Computing: Business & Technology. 
  81. ^ "HVD: the cloud's silver lining" (PDF). Intrinsic Technology. Retrieved 30 August 2012. 
  82. ^ Carney, Michael. "AnyPresence partners with Heroku to beef up its enterprise mBaaS offering". "PandoDaily. Retrieved 24 June 2013. 
  83. ^ Alex Williams (11 October 2012). "Kii Cloud Opens Doors For Mobile Developer Platform With 25 Million End Users". TechCrunch. Retrieved 16 October 2012. 
  84. ^ Aaron Tan (30 September 2012). "FatFractal ups the ante in backend-as-a-service market". Retrieved 16 October 2012. 
  85. ^ Dan Rowinski (9 November 2011). "Mobile Backend As A Service Parse Raises $5.5 Million in Series A Funding". ReadWrite. Retrieved 23 October 2012. 
  86. ^ Pankaj Mishra (7 January 2014). "MobStac Raises $2 Million In Series B To Help Brands Leverage Mobile Commerce". TechCrunch. Retrieved 22 May 2014. 
  87. ^ " Is Building an Enterprise MBaas Platform for IoT". programmableweb. Retrieved 3 March 2014. 
  88. ^ a b Miller, Ron (24 Nov 2015). "AWS Lambda Makes Serverless Applications A Reality". "TechCrunch. Retrieved 10 July 2016. 
  89. ^ "Self-Run Private Cloud Computing Solution — GovConnection". 2014. Retrieved April 15, 2014. 
  90. ^ Foley, John. "Private Clouds Take Shape". InformationWeek. Retrieved 2010-08-22. 
  91. ^ Haff, Gordon (2009-01-27). "Just don't call them private clouds". CNET News. Retrieved 2010-08-22. 
  92. ^ "There's No Such Thing As A Private Cloud". InformationWeek. 2010-06-30. Retrieved 2010-08-22. 
  93. ^ Rouse, Margaret. "What is public cloud?". Definition from Retrieved 12 October 2014. 
  94. ^ "Mind the Gap: Here Comes Hybrid Cloud – Thomas Bittman". Thomas Bittman. Retrieved 22 April 2015. 
  95. ^ "Business Intelligence Takes to Cloud for Small Businesses". 2014-06-04. Retrieved 2014-06-04. 
  96. ^ Désiré Athow. "Hybrid cloud: is it right for your business?". TechRadar. Retrieved 22 April 2015. 
  97. ^ Metzler, Jim; Taylor, Steve. (2010-08-23) "Cloud computing: Reality vs. fiction", Network World.
  98. ^ Rouse, Margaret. "Definition: Cloudbursting", May 2011.
  99. ^ "How Cloudbursting "Rightsizes" the Data Center". 
  100. ^ Kaewkasi, Chanwit (3 May 2015). "Cross-Platform Hybrid Cloud with Docker". 
  101. ^ Vincenzo D. Cunsolo, Salvatore Distefano, Antonio Puliafito, Marco Scarpa: Volunteer Computing and Desktop Cloud: The Cloud@Home Paradigm. IEEE International Symposium on Network Computing and Applications, NCA 2009, pp 134–139
  102. ^ Bernstein, David; Ludvigson, Erik; Sankar, Krishna; Diamond, Steve; Morrow, Monique (2009-05-24). "Blueprint for the Intercloud – Protocols and Formats for Cloud Computing Interoperability". IEEE Computer Society: 328–336. "doi:10.1109/ICIW.2009.55. "ISBN "978-1-4244-3851-8. 
  103. ^ "Kevin Kelly: A Cloudbook for the Cloud". Retrieved 2010-08-22. 
  104. ^ "Intercloud is a global cloud of clouds". 2009-06-22. Retrieved 2010-08-22. 
  105. ^ "Vint Cerf: Despite Its Age, The Internet is Still Filled with Problems". Retrieved 2010-08-22. 
  106. ^ "SP360: Service Provider: From India to Intercloud". Retrieved 2010-08-22. 
  107. ^ Canada (2007-11-29). "Head in the clouds? Welcome to the future". The Globe and Mail. Toronto. Retrieved 2010-08-22. 
  108. ^ Rouse, Margaret. "What is a multi-cloud strategy". SearchCloudApplications. Retrieved 3 July 2014. 
  109. ^ King, Rachel. "Pivotal's head of products: We're moving to a multi-cloud world". ZDnet. Retrieved 3 July 2014. 
  110. ^ Multcloud manage multiple cloud accounts. Retrieved on 06 August 2014
  111. ^ "Building GrepTheWeb in the Cloud, Part 1: Cloud Architectures". Retrieved 2010-08-22. 
  112. ^ a b c "Cloud Computing Privacy Concerns on Our Doorstep". 
  113. ^ Chhibber, A (2013). "SECURITY ANALYSIS OF CLOUD COMPUTING" (PDF). International Journal of Advanced Research in Engineering and Applied Sciences. 2 (3): 2278–6252. Retrieved 27 February 2015. 
  114. ^ a b "Google Drive, Dropbox, Box and iCloud Reach the Top 5 Cloud Storage Security Breaches List". Retrieved 2015-11-22. 
  115. ^ Maltais, Michelle (26 April 2012). "Who owns your stuff in the cloud?". Los Angeles Times. Retrieved 2012-12-14. 
  116. ^ "Security of virtualization, cloud computing divides IT and security pros". Network World. 2010-02-22. Retrieved 2010-08-22. 
  117. ^ "The Bumpy Road to Private Clouds". Retrieved 2014-10-08. 
  118. ^ "Should Companies Do Most of Their Computing in the Cloud? (Part 1) - Schneier on Security". Retrieved 2016-02-28. 
  119. ^ "Disadvantages of Cloud Computing (Part 1) - Limited control and flexibility". Retrieved 2016-11-03. 
  120. ^ "The real limits of cloud computing". Retrieved 2016-11-03. 
  121. ^ "The real limits of cloud computing". Retrieved 2016-11-03. 
  122. ^ Karra, Maria. "Cloud solutions for translation, yes or no?". " Retrieved 23 February 2017. 
  123. ^ Smith, David Mitchell. "Hype Cycle for Cloud Computing, 2013". Gartner. Retrieved 3 July 2014. 
  124. ^ "The evolution of Cloud Computing". Retrieved 22 April 2015. 
  125. ^ "Microsoft Says to Spend 90% of R&D on Cloud Strategy". Retrieved 22 April 2015. 
  126. ^ "Roundup Of Cloud Computing Forecasts And Market Estimates, 2014". Forbes. Retrieved 2015-11-22. 

Further reading[edit]

  • Millard, Christopher (2013). Cloud Computing Law. Oxford University Press. "ISBN "978-0-19-967168-7. 
  • 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. "doi:10.1109/MCC.2015.69. 
  • 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. "doi:10.1145/1721654.1721672. 
  • Hu, Tung-Hui (2015). A Prehistory of the Cloud. MIT Press. "ISBN "978-0-262-02951-3. 
  • Mell, P. (2011, September 31). The NIST Definition of Cloud Computing. Retrieved November 1, 2015, from National Institute of Standards and Technology website:

External links[edit]

) )