DocumentCode :
3762801
Title :
Bio inspired approach for load balancing to reduce energy consumption in cloud data center
Author :
Akhil Goyal;Navdeep S. Chahal
Author_Institution :
Software Technology Division, C-DAC, Mohali, India
fYear :
2015
Firstpage :
406
Lastpage :
410
Abstract :
Cloud computing has made it feasible to access various IT resources through a high speed network from anywhere in the world. Constant increasing demand of cloud computing is equally popular in consumers as well as providers. But along with advancement every technology is also associated with some ill effects. On same path, cloud computing also accompanies a serious issue with it and that issue is energy consumption. In this paper Firefly Algorithm has been selected as a proposed bio-inspired approach to perform load balancing to reduce energy consumption in cloud data center. Further, the results are compared with Particle Swarm optimization Algorithm (PSO). The energy consumed in case of Firefly Algorithm is less than energy consumed in PSO Algorithm.
Keywords :
"Optimization","Algorithm design and analysis","Particle swarm optimization","Load management","Quality of service","Heuristic algorithms","Load modeling"
Publisher :
ieee
Conference_Titel :
Communication, Control and Intelligent Systems (CCIS), 2015
Type :
conf
DOI :
10.1109/CCIntelS.2015.7437950
Filename :
7437950
Link To Document :
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