Allocation strategies of virtual machine for cloud Environment: A review

  Vivek Rajani,  Mr. Bhadresh Gohil,  Ms. Bela Shrimali

Cloud computing is the most integral part of todays world of computing. It provides various advantageous like reliability, economical, pay as you use, on demand service. Cloud hides the ambiguity of different hardware through virtualization technology. Virtualization is the foundation of cloud, it provides Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). As cloud infrastructure heavily relies on virtualization technology, so there is a requirement of an efficient and effective virtual machine allocation method. Resource allocation is most emerging research area in cloud environment. This has led to a new stream in the literature dealing with the problem of assigning virtual machines with volatile demands to physical servers in a static way such that energy costs are minimized. A main challenging problem that cloud providers face is designing efficient mechanisms for virtual machine (VM) provisioning and allocation. Such mechanisms is useful for cloud providers to effectively utilize their available resources and obtain higher profits. By using different approaches like performance, energy, cost in allocating resources make it easier and improves the scheduling of virtual machines. This survey explore the various virtual machine allocation paradigm.

Keywords- cloud, virtualization, cluster based, energy efficient, performance, data ware, network, SLA

Unique Identification Number - IJEDR1504134
Page Number(s) - 770-773
Pubished in - Volume 3 | Issue 4 | December 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Vivek Rajani,  Mr. Bhadresh Gohil,  Ms. Bela Shrimali,   "Allocation strategies of virtual machine for cloud Environment: A review", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.770-773, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504134.pdf