Using Ant Algorithm in Green Cloud Computing to Minimize Energy

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-27 Number-1
Year of Publication : 2015
Authors : Abeer H.El Bakely, Hesham A.Hefny
  10.14445/22312803/IJCTT-V27P108

MLA

Abeer H.El Bakely, Hesham A.Hefny "Using Ant Algorithm in Green Cloud Computing to Minimize Energy". International Journal of Computer Trends and Technology (IJCTT) V27(1):44-50, September 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Researchers try to solve the problem of energy (the demand go up and the supply is declining or flat) by discovering new resources or minimizing energy consumption in most important fields. In this paper we minimize energy in cloud computing by using ant algorithm, a cloud datacenter comprises of many hundred or thousands of networked servers. The network system is main component in cloud computing which consumes a nonnegligible fraction of the total power consumption. This approach is called AntGME which performs the best-effort workload consolidation on a minimum set of servers. The proposed approach minimizes the routing cost between datacenter and computing servers, it improves the performance of connectivity, workload management and energy efficiency of cloud data centers, it uses antnet algorithm as protocol in traffic network to get shortest path between data center and computing servers which reduces message replies in the network and energy consumption. The proposed approach is compared to UDP (User Datagram Protocol) which is usual protocol in communication. We use simulator program is called GreenCloud which is extension to network simulator NS2.

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Keywords
Antnet, Green Scheduling, Data center, Green Cloud, Energy Efficiency