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(to be completed)

 


ThinkMind // International Journal On Advances in Intelligent Systems, volume 7, numbers 3 and 4, 2014 // View article intsys_v7_n34_2014_3


Legacy Network Infrastructure Management Model for Green Cloud Validated Through Simulations

Authors:
Sergio Roberto Villarreal
María Elena Villarreal
Carlos Becker Westphall
Carla Merkle Westphall

Keywords: Green IT; Cloud Computing; Network Management; Data center; CloudSim.

Abstract:
The concepts proposed by Green IT have changed the priorities in the design of information systems and infrastructure, adding to traditional performance and cost requirements, the need for efficiency in energy consumption. The approach of Green Cloud Computing builds on the concepts of Green IT and Cloud in order to provide a flexible and efficient computing environment, but their strategies have not given much attention to the energy cost of the network equipment. While Green Networking has proposed principles and techniques that are being standardized and implemented in new networking equipment, there is a large amount of legacy equipment without these features in data centers. In this paper, the basic principles pointed out in related work for power management in legacy network equipment are presented, and a model for its use to optimize green cloud approach is proposed. It is also presented NetPowerCloudSim, an extension to the open-source framework CloudSim, which was developed to validate the aforementioned model and adds to the simulator the capability of representing and managing network equipment according to the state changes of servers. Experiments performed to validate the model showed that it is possible to significantly increase the data center efficiency through its application. The major contributions of this paper are the proposed network infrastructure management model and the simulator extension.

Pages: 374 to 384

Copyright: Copyright (c) to authors, 2014. Used with permission.

Publication date: December 30, 2014

Published in: journal

ISSN: 1942-2679

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