Title :
Simulated-Annealing Load Balancing for Resource Allocation in Cloud Environments
Author :
Zongqin Fan ; Hong Shen ; Yanbo Wu ; Yidong Li
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Abstract :
Recently, the development of cloud computing has received considerable attention. For cloud service providers, packing VMs onto a small number of servers is an effective way to reduce energy costs, so as to improve the efficiency of the data center. However allocating too many VMs on a physical machine may cause some hot spots which violate the SLA of applications. Load balancing of the entire system is hence needed to guarantee the SLA. In this paper, we present a simulated-annealing load balancing algorithm for solving the resource allocation and scheduling problem in a cloud computing environment. Experimental results show that this method is able to achieve load balancing, and performs better than the round robin and basic simulated-annealing algorithms.
Keywords :
cloud computing; computer centres; contracts; power aware computing; resource allocation; scheduling; simulated annealing; virtual machines; SLA; VM; cloud computing environment; cloud service providers; data center; energy cost reduction; physical machine; resource allocation; resource scheduling problem; simulated-annealing load balancing algorithm; Cloud computing; Clouds; Computational modeling; Load management; Resource management; Servers; Simulated annealing; cloud computing; load balancing; simulated annealing algorithm; virtual machine;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2013 International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4799-2418-9
DOI :
10.1109/PDCAT.2013.7