Title
On Service Migrations in the Cloud for Mobile Accesses: A Distributed Approach.
Abstract
We study the problem of dynamically migrating a service in the cloud to satisfy an online sequence of mobile batch-request demands in a cost-effective way. The service may have single or multiple replicas, each running on a virtual machine. As the origin of mobile accesses frequently changes over time, this problem is particularly important for time-bounded services to achieve enhanced Quality of Service and cost effectiveness. Moving the service closer to the client locations not only reduces the service access latency but also minimizes the network costs for service providers. However, these benefits are not free. The migration comes at a cost of bulk-data transfer and service disruption, and hence, increasing the overall service costs. To gain the benefits of service migration while minimizing the caused monetary costs, we propose an efficient search-based algorithm Dmig to migrate a single server, and then extend it as a scalable algorithm, called mDmig, to the multi-server situation, a more general case in the cloud. Both algorithms are fully distributed, symmetric, and characterized by the effective use of historical access information to conduct virtual migration so that the limitations of local search in the cost reduction can be overcome. To evaluate the algorithms, we compared them with some existing algorithms and an off-line algorithm. Our simulation results showed that the proposed algorithms exhibit better performance in service migration by adapting to the changes of mobile access patterns in a cost-effective way.
Year
DOI
Venue
2017
10.1145/3050438
TAAS
Keywords
Field
DocType
Cloud computing,dynamic service migration,mobile access,dynamic virtual machine placement,virtual migration
Mobile QoS,Virtual machine,Computer science,Quality of service,Computer network,Service provider,Real-time computing,Local search (optimization),Data as a service,Cost reduction,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
12
2
1556-4665
Citations 
PageRank 
References 
2
0.37
28
Authors
5
Name
Order
Citations
PageRank
Yang Wang1839.61
Bharadwaj Veeravalli21482106.70
Chen-Khong Tham392582.63
Shuibing He410920.45
Z. Chen53443271.62