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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/9986

Title: Analyzing server performance in cloud computing on virtual network infrastructure; using riverbed simulator
Authors: Amo-Asuah, Charles
Issue Date: 19-Jan-2017
Abstract: The research work here is expected to investigate the performance and relations for distributed systems in server use for cloud storage on virtual platforms. With most organizations opting for web based services, the use of virtual networking infrastructure in cloud storage does not only reduce cost and eliminates hardware failures and security risks such as theft of physical components in real world, but also provides a graphical user interface for the topology design allowing for realistic simulation of networks and high performance displaying modules as an added advantage for modern enterprises. This thesis seeks to analyze the behavior and efficiency of server performances in three different scenarios in cloud network using Riverbed Edu 17.5 edition as a virtual network platform simulation tool. Networks with three different server scenarios simulated against time in the network were modeled. The focus was on the server performance at different loads and processing speeds. The simulation was configured for about 100 workstations in a manner that all the applications and users can access the parameters; database, file transfer protocol, hypertext transfer protocol, and email response times on cloud utilization throughputs in two directions. The results for server performance in efficiency and viability is analyzed and evaluated with conclusions drawn as a guiding principle for organizations and companies considering the use or using servers for cloud storage.
Description: A Thesis Submitted to the Department of Computer Science, Kwame Nkrumah University of Science and Technology in partial fulfillment for the degree of Master of Philosophy in Information Technology, 2016
URI: http://hdl.handle.net/123456789/9986
Appears in Collections:College of Science

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