Int. J. of Big Data Intelligence   »   2015 Vol.2, No.1

 

 

Title: Energy aware network scheduling for a data centre

 

Authors: G.K. Karthikeyan; Prassanna Jayachandran; Neelanarayanan Venkataraman

 

Addresses:
School of Computing Science and Engineering, VIT University, Chennai Campus, Vandalur-Kelambakkam Road, Chennai – 600 127, India
School of Computing Science and Engineering, VIT University, Chennai Campus, Vandalur-Kelambakkam Road, Chennai – 600 127, India
School of Computing Science and Engineering, VIT University, Chennai Campus, Vandalur-Kelambakkam Road, Chennai – 600 127, India

 

Abstract: Modern data centre energy consumption accounts for a large amount of operational cost. The idea of data centre energy optimisation deals with the job distribution between computing servers depending upon the workload. This paper projects the job role of communication material in the data centre energy consumption and proposes a scheduling approach that has both network awareness and efficient optimisation of energy consumption. This scheduling approach stabilises the energy consumption of the data centre, traffic demands and individual job performance. The proposed method enhances the server consolidation (to efficiently turn on/off the servers based on the workload) and also the distribution of traffic patterns.

 

Keywords: energy efficiency; data centres; cloud computing; congestion; energy awareness; network scheduling; energy consumption; energy optimisation; server consolidation; traffic patterns.

 

DOI: 10.1504/IJBDI.2015.067573

 

Int. J. of Big Data Intelligence, 2015 Vol.2, No.1, pp.37 - 44

 

Submission date: 20 Jun 2014
Date of acceptance: 25 Oct 2014
Available online: 17 Feb 2015

 

 

Editors Full text accessAccess for SubscribersPurchase this articleComment on this article