TY - GEN
T1 - A Multi-agent Based Load Balancing Framework in Cloud Environment
AU - Zhang, Jiadong
AU - Liu, Qiongxin
AU - Chen, Jiayu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Cloud computing is a commercial application of distributed system. With the rapid development of cloud computing, resource management problem has been widely studied and discussed. Most of the existing researches concern resource allocation by launching virtual machines, however, instant monitoring of the hosts, load balancing of the cloud platform is much more important for cloud providers. In this paper, a multi-Agent based distributed load balancing framework is proposed for cloud platform, it uses workload prediction technology and threshold buffering strategies to reduce the migration of VMs. Experiments show that our method can significantly reduce the workload data transmission and solve the frequent migration problem, which can effectively achieve load balancing, promote the utilization of the entire data center resources.
AB - Cloud computing is a commercial application of distributed system. With the rapid development of cloud computing, resource management problem has been widely studied and discussed. Most of the existing researches concern resource allocation by launching virtual machines, however, instant monitoring of the hosts, load balancing of the cloud platform is much more important for cloud providers. In this paper, a multi-Agent based distributed load balancing framework is proposed for cloud platform, it uses workload prediction technology and threshold buffering strategies to reduce the migration of VMs. Experiments show that our method can significantly reduce the workload data transmission and solve the frequent migration problem, which can effectively achieve load balancing, promote the utilization of the entire data center resources.
KW - Multi-Agent
KW - cloud computing
KW - load balancing
UR - http://www.scopus.com/inward/record.url?scp=85013632852&partnerID=8YFLogxK
U2 - 10.1109/ISCID.2016.1070
DO - 10.1109/ISCID.2016.1070
M3 - Conference contribution
AN - SCOPUS:85013632852
T3 - Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
SP - 278
EP - 281
BT - Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Symposium on Computational Intelligence and Design, ISCID 2016
Y2 - 10 December 2016 through 11 December 2016
ER -