Research Area:  Cloud Computing
Media cloud has become a promising paradigm for deploying large-scale streaming media applications at a reduced cost. Due to dynamic and diverse demands of users, media cloud presents two crucial characteristics: high resource consumption and dynamic traffic among media servers. Consequently, Virtual Machine (VM) migration in media cloud is highly required to suit varying resource requirements and the dynamic traffic patterns. Moreover, migration of such bandwidth-intensive media applications in media cloud needs cautious handling, especially for the internal traffic of Data Center Networks (DCN). However, existing media cloud resource management schemes or traffic-aware VM deployment approaches are insufficient for media cloud, ignoring the characteristics of either cloud infrastructure or media streaming requirements. In this paper, we propose a cluster-aware VM collaborative migration scheme for media cloud, tightly integrating clustering, placement, and dynamic migration process. The scheme employs a clustering algorithm and a placement algorithm to obtain ideal migration strategies for newly perceived media server clusters, and a migration algorithm to effectively accomplish the migration process of media servers. Evaluation results demonstrate that our scheme can effectively migrate virtual media servers in media cloud, while reducing the total internal traffic in DCN under the resource consumption constraints of media streaming applications.
Author(s) Name:  Weizhan Zhang; Yuxuan Chen; Xiang Gao; Zhichao Mo; Qinghua Zheng and Zongqing Lu
Journal name:  IEEE Transactions on Parallel and Distributed Systems
Publisher name:  IEEE
Volume Information:  Volume: 28, Issue: 10, Oct. 1 2017,Page(s): 2808 - 2822
Paper Link:   https://ieeexplore.ieee.org/document/7909001