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On Service Migrations in the Cloud for Mobile Accesses: A Distributed Approach

On Service Migrations in the Cloud for Mobile Accesses: A Distributed Approach On Service Migrations in the Cloud for Mobile Accesses: A Distributed Approach YANG WANG, Shenzhen Institutes of Advanced Technology BHARADWAJ VEERAVALLI and CHEN-KHONG THAM, National University of Singapore SHUIBING HE, Wuhan University CHENGZHONG XU, Shenzhen Institutes of Advanced Technology 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

On Service Migrations in the Cloud for Mobile Accesses: A Distributed Approach

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 by ACM Inc.
ISSN
1556-4665
DOI
10.1145/3050438
Publisher site
See Article on Publisher Site

Abstract

On Service Migrations in the Cloud for Mobile Accesses: A Distributed Approach YANG WANG, Shenzhen Institutes of Advanced Technology BHARADWAJ VEERAVALLI and CHEN-KHONG THAM, National University of Singapore SHUIBING HE, Wuhan University CHENGZHONG XU, Shenzhen Institutes of Advanced Technology 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

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS)Association for Computing Machinery

Published: May 29, 2017

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