Cloud computing
- Pages: 4
- Word count: 757
- Category: Computers
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Order NowThe NIST (National Institute of Standards and Technology) defines cloud computing as a model for enabling ubiquitous, convenient, on-demand network access to shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction (Mell P., & Grance T., 2011).
Another definition from some researchers of mobile cloud computing ‘is an emergent mobile cloud paradigm which leverage mobile computing, networking, and cloud computing to study mobile service models, develop mobile cloud infrastructures, platforms, and service applications for mobile clients (Chang, et al., 2013).
Cloud computing has a three different items; Cloud as a server, communication network and mobile devices.
The NIST (National Institute of Standards and Technology) is composed the cloud computing of five essential characteristics, three service models and four deployment models.
Essential Characteristics
On-demand self-service: An organization can order with automated provisioning of needed computing, storage, network, and applications from the cloud provider.
Broad network access: Cloud administrations are given over any combination of private arrange communication circuits or the open Internet, depending in the cloud sending demonstrate and the determinations of the cloud suppliers advertising. You can make the cloud assets accessible to or covered up from a wide assortment of computers, laptops, mobile devices and smart phones (Bond J., 2015).Resource Pooling: Compute, capacity, and organizing resources are pooled to serve different client bunches (inhabitants) with diverse physical and virtual assets that can be powerfully doled out and reassigned concurring to client request [URL 2].
Rapid elasticity: Capabilities can be quickly and flexibly provisioned, in a few cases consequently, to rapidly scale out and quickly discharged to rapidly scale in. Measured service: Cloud systems consequently control and optimize asset utilize by leveraging a metering capability at a few level of reflection suitable to the sort of benefit (e. g. storage, processing, bandwidth and active user accounts) (P. Gupta, S. Gupta, 2012). Service Models Infrastructure as a Service (IaaS): Several types of virtualization occur in this layer.
Among the other assets, computing, network, hardware and storage are also included (Hiremath & Mallapur, 2015). Cloud providers often supply operating system templates as a quick-start to get the system operational quickly. Platform as a Service (PaaS): This layer contains the environment for dispersing capacity, parallel programming plan, the administration framework for organizing disseminated record framework and other framework administration apparatuses for cloud computing (Hiremath & Mallapur, 2015). Program developers are the primary clients of this platform layer.
Software as a Service (SaaS): Applications are facilitated and overseen by the supplier in the cloud with the buyer getting to the application administrations from different end-computing gadgets such as PCs, portable workstation, tablets, smartphones, or web browsers (Bond J. , 2015). The consumer does not manage the underlying server farm, applications, or storage. Deployment Models Private Cloud: A private cloud is a network of all services or data center that stores hosted services for a restricted number of people (Li, Dai, & Yang, 2011).
When public cloud resources are used by a service provider to create a private cloud, it is called a virtual private cloud ( De, 2016). Community Cloud: The cloud foundation is shared by several organizations and supports a specific community that has shared concerns (e. g. mission, security requirements, policy, and compliance consideration). It may be overseen by the organizations or a third party and may exist on preface or off introduce (P. Gupta, S. Gupta, 2012).
Public Cloud: Public clouds are claimed and worked by third-party cloud sellers, which moreover manage the hardware, software and supporting infrastructure. Public clouds exceed expectations at giving adaptable get to more or less computing assets as required [URL 3]. Hybrid Cloud: A cloud service that is a combination of two or more of the previously defined deployment models (public, private, or community) (Bond J. , 2015). Those remains interesting substances but are bound together by standardized or restrictive innovation that empowers information and application compactness (P. Gupta, S. Gupta, 2012).
REFERENCES
Bond J. (2015). The Enterprise Cloud.pg:11. ISBN: 978-1-491-90762-7
Chang R.S., Gao J., Gruhn V., He J., Roussos G., Tsai W.T. (2013). Mobile Cloud Computing Research – Issues, Challenges, and Needs. IEEE Seventh International Symposium on Service-Oriented System Engineering. 978-0-7695-4944-6/12.De D. 2016. Mobile Cloud Computing: Architectures, Algorithms, and Applications. West Bengal University of Technology Kolkata, India. International Standard Book Number – 13:978-1-4822-4284-3.
Gupta P., and Gupta S. (2012). Mobile Cloud Computing: The Future of Cloud. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. Vol.1, Issue 3. ISSN 2278-8875.Hiremath T.C., and Mallapur J.D. (2015). Mobile Cloud Computing: A survey of Research Issues & Challenges. International Journal of Innovation in Engineering, Research and Technology (IJIERT). ISSN No: 2394-3696.
Li Y., Dai H., and Yang B. 2011. Identity-based cryptography for cloud security. IACR Cryptology ePrint Archive, p.169.Mell P.and Grance T. (September 2011). The NIST Definition of Cloud Computing, National Institute of Standards and Technology Std. 800-145,. (Online Available: https://csrc.nist.gov/publications/detail/sp/800-145/final)
URL 1: https://www.avantica.net/blog/2015/12/02/azure-microsoft-solution-for-cloud-computingURL2:https://www.intel.com/content/dam/www/public/us/en/documents/guides/cloud-computing-virtualization-building-private-iaas-guide.pdf
URL 3: https://www.adandp.media/articles/whats-cloud-computing