A Comprehensive Study on the Load Assessment Techniques in Cloud Data Center

B. Priya and T. Gnanasekaran
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B. Priya: Anna University
T. Gnanasekaran: R.M.K. Engineering College

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 207-214 from Springer

Abstract: Abstract Cloud computing is a prototype for usage-based network. It is an Internet-based computing in which large groups of remote servers are networked so as to allow sharing of data-processing tasks, centralized data storage, and online access to computer services or resources. Data Center refers to the hardware that stores data within an organization’s local network. They are typically run by an in-house IT department. Cloud computing allows users to access secure and scalable networks of Data Centers and enables availability of virtually housed data, cloud-native and enterprise applications. The challenging problems in cloud data Center is the management of the load of different reconfigurable virtual machines. A mechanism for efficient resource management will be very significant to suite the need. The data Centers comprises of thousands of servers to provide services. The cost of maintaining this cloud data canters is extremely high. This paper focuses on the review of optimizing task load of different zone of data Center and users in the cloud environment.

Keywords: Data Centre; Virtual machine (VM); Scheduling; Load balancing (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_19

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DOI: 10.1007/978-3-030-41862-5_19

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