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Journal of Information Science and Engineering, Vol. 30 No. 4, pp. 1537-1552 (September 2014)


An Integrated Dynamic Resource Scheduling Framework in On-Demand Clouds*


LEI XU, ZONGHUI WANG AND WENZHI CHEN
College of Computer Science and Technology
Zhejiang University
Hangzhou, 310027 P.R. China
E-mail: {leixu; zjuzhwang; chenwz}@zju.edu.cn

The biggest advantage of employing virtualization in cloud is the ability to provision resource flexibly which makes "pay-as-use" model possible. However, since the workload of virtual machine constantly changes, it is still a challenge that efficiently schedule resource by migrating virtual machines among lots of hosts, especially with multi-objective to meet, like power and QoS constraints. In this paper, we present a dynamic resource scheduling solution, named Smart-DRS, which can well determines when to schedule, which to schedule, and where to schedule. It is an integrated framework that aims to deal well with hotspot mitigation, load balancing and server consolidation which are classic problems to solve in on-demand clouds. The experimental results show that our framework strikes a balance between efficiency, overhead and instantaneity.

Keywords: cloud, dynamic resource schedule, hotspot mitigation, load balancing, server consolidation

Full Text () Retrieve PDF document (201409_13.pdf)

Received December 14, 2012; revised November 8, 2013; accepted November 16, 2013.
Communicated by Ruay-Shiung Chang.
* This work has been presented in 2012 International Workshop on Power and QoS Aware Computing (PQoSCom 12) in conjunction with IEEE Cluster12, Sept. 2012, Beijing, sponsored by IEEE, IEEE Computer Society, IEEE TCSC, Intel, VMware, NVidia, etc.