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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Goudarzi, H. Pedram, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electr. Eng. - Syst., Univ. of Southern California, Los Angeles, CA, USA (Goudarzi, H.; Pedram, M.) |
| Abstract | This work focuses on the load balancing problem for online service applications (which are response time-sensitive) considering a distributed cloud system comprised of geographically dispersed, heterogeneous datacenters. An offline solution based on force-directed scheduling is presented, which can determine the application placement for long periods of time. The solution is then extended to do online application placement and migration for geographically distributed datacenters based on predictions about the application lifetimes, workload intensities, dynamic energy prices, and renewable energy generation capacities at different datacenters in the cloud system. The simulation results demonstrate 27% to 40% improvement using the proposed algorithms with respect to the method that does not consider the geographical load balancing. |
| Starting Page | 351 |
| Ending Page | 358 |
| File Size | 299868 |
| Page Count | 8 |
| File Format | |
| ISSN | 21596190 |
| e-ISBN | 9780769550282 |
| DOI | 10.1109/CLOUD.2013.77 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Power demand Cooling Force Geographical load balancing Load management Online service application Servers Resource management Time factors Distributed data center |
| Content Type | Text |
| Resource Type | Article |
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