Paper Info
Title
On Autonomous Service Migrations In The Cloud For Mobile Accesses
Abstract
We study the problem of autonomous service migration in the cloud to satisfy an online sequence of mobile batch-request demands in a cost-effective way. As the origins of the mobile accesses frequently change over time, this problem is particularly important for time-bounded services to achieve enhanced QoS and cost effectiveness. Moving the service closer to its client locations not only reduces the service access latency but also minimizes the network costs for service providers. However, the migration comes at costs of bulk-data transfer and service disruption, as a result, increasing the overall service costs. To gain the benefits of service migration while minimizing the service costs, we propose an efficient search-based algorithm Dmig the service migration in an autonomous way. Compared with existing algorithms, the proposed algorithm is fully distributed, symmetric, and characterized by the effective use of historical access information to perform virtual migration that overcomes the limitation of traditional local search in cost reduction. To evaluate the algorithm, we compared it with some existing algorithms, and show that the proposed algorithm exhibits better performance by adapting to the changes of mobile access patterns in a cost effective way.
Year
DOI
Venue
2016
10.1109/ICPADS.2016.101
2016 IEEE 22ND INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS)
Keywords
Field
DocType
cloud computing, dynamic service migration, mobile access, dynamic virtual machine placement, virtual migration
Mobile QoS,Latency (engineering),Computer science,Quality of service,Computer network,Service provider,Real-time computing,Local search (optimization),Cost reduction,Distributed computing,Cloud computing
Conference
ISSN
Citations 
PageRank 
1521-9097
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yang Wang118845.73
Shuibing He210920.45
Fuji Ren3803135.33
Lujia Wang400.34
Z. Chen53443271.62