International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 119 | Views: 180

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014 | Rating: 6.4 / 10

Cloud Computing Using Cloud-Level Scheduling: A Survey

Sanket Mani Tiwari

Abstract: In recent years cloud computing are widely used everywhere. Cloud computing have wide variety of facility in his environment. Cloud provides many facilities due to its wide area such that sharing of resources for different purposes scheduling become a necessary factor to discuss. A numerous type of applications are running through cloud which are stored in data centers. Data centers are combination of place which acts like database. For example applications like we chat are running using cloud. All data is stored in data centers and user just retrieve information from these data centers which is required and other information is available for other users an high security is also possible for end user using cloud. Cloud based on virtual machine concept, this machine run on physical machine. Virtual machine incorporate the optimized hardware resources called virtualization, this virtual machine creates large data centers used commonly that based on virtual machine called clouds. Cloud computing carry both high-availability storage of data as well as high parallel computing resources. Cloud computing based on the concept of scheduling that carry many job in a particular manner, job scheduling is very tedious task in cloud computing. Because it is carry the concept of parallel and distributed architecture. In recent years computer service is a fast approach because of parallel computing, distributed computing, grid computing and cloud computing. In this survey we conclude the cloud level scheduling having trust based security and we also prefer the reliability factor that calculate the estimated cost as well as migrate the scheduling process.

Keywords: Cloud security, Data storage, Service delivery model, IaaS, PaaS, SaaS, Scheduling, Cloud level scheduling

Edition: Volume 3 Issue 7, July 2014,

Pages: 232 - 237

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