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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuanqi Chen Alghamdi, M.I. Xiao Qin Jifu Zhang Minghua Jiang Meikang Qiu |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China (Jifu Zhang) || Dept. of Comput. Sci., Pace Univ., New York, NY, USA (Meikang Qiu) || Coll. of Math. & Comput. Sci., Wuhan Textile Univ., Wuhan, China (Minghua Jiang) || Dept. of Comput. Sci., Al-Baha Univ., Al-Baha, Saudi Arabia (Alghamdi, M.I.) || Dept. of Comput. Sci. & Software Eng., Auburn Univ., Auburn, AL, USA (Yuanqi Chen; Xiao Qin) |
| Abstract | Dynamic resource provisioning becomes a practical approach to achieving high thermal and energy efficiency, improving scalability, and optimizing reliability for e-commercial applications running in modern data centers. In this paper, we propose a self-adjusting model called TERN to predict thermal behaviors of hardware resources for client sessions. Our TERN contains two major components: (1) a resource utilization model being responsible for estimating hardware usage based on the number of running client transactions, and (2) a thermal model that discovers correlation between resource utilization and their temperatures. TERN is conducive to predicting thermal trends of diverse workload conditions with a changing transaction mix. We apply the TPC-W benchmark to characterize the resource demands of each type of transactions. Then, we conduct a thermal profiling study of the benchmark with various transaction mixes. TERN judiciously adjusts the models to maintain prediction accuracy for dynamically changing request patterns. Experimental results show that TERN provides a simple yet powerful solution for resource provisioning in thermal-aware data centers where exist rapidly changing workload conditions. |
| Starting Page | 479 |
| Ending Page | 490 |
| File Size | 981266 |
| Page Count | 12 |
| File Format | |
| e-ISBN | 9781479989379 |
| DOI | 10.1109/HPCC-CSS-ICESS.2015.183 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cooling Computational modeling Predictive models Thermal management Hardware Data models Thermal Model Dynamic Resource Provisioning Servers Data Center E-commercial |
| Content Type | Text |
| Resource Type | Article |
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