Adaptive workload distribution for local and remote clouds
File(s)AdaptiveWload.pdf (419.73 KB)
Accepted version
Author(s)
Wang, Lan
Brun, Olivier
Gelenbe, Erol
Type
Conference Paper
Abstract
Cloud systems include both locally based servers at user premises and remote servers and multiple Clouds that can be reached over the Internet. This paper describes a smart distributed system that combines local and remote Cloud facilities. It operates with a task allocation system that takes decisions to allocate tasks dynamically to the service that offers the best overall Quality of Service and a routing overlay which optimizes network delay for data transfer between clouds. Internet-scale experiments exhibit the effectiveness of our approach in adaptively distributing workload across multiple clouds.
Date Issued
2017-02-09
Date Acceptance
2016-10-09
Citation
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, pp.3984-3988
ISBN
9781509018970
ISSN
1062-922X
Publisher
IEEE
Start Page
3984
End Page
3988
Journal / Book Title
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000402634703138&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Subjects
Science & Technology
Technology
Computer Science, Cybernetics
Computer Science, Information Systems
Computer Science
Cloud Computing
Adaptive Networked Systems
Quality of Service
Performance Management
Global Internet
World-Wide Experiments
Smart Intercontinental Networks
RANDOM NEURAL-NETWORKS
SYNCHRONIZED INTERACTIONS
Publication Status
Published
Start Date
2016-10-09
Finish Date
2016-10-12
Coverage Spatial
Budapest, Hungary
Date Publish Online
2017-02-09