Rate-based thermal, power, and co-location aware resource management for heterogeneous data centers-Reference-Cited by-同舟云学术

Rate-based thermal, power, and co-location aware resource management for heterogeneous data centers

Published:2018-02 Issue: Volume:112 Page:126-139
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Oxley Mark A.,Jonardi Eric,Pasricha Sudeep,Maciejewski Anthony A.,Siegel Howard Jay,Burns Patrick J.^ORCID,Koenig Gregory A.

Funder

NSF

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference46 articles.

1. Power and thermal-aware workload allocation in heterogeneous data centers;Al-Qawasmeh;IEEE Trans. Comput.,2015

2. ASHRAE Technical Commitee, Thermal Guidelines for Data Processing Environments—Expanded Data Center Classes and Usage Guidance, Tech. rep., American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc., 2011.

3. BASX Solutions, CRAC / CRAH Units. http://www.basxsolutions.com/--crac-crah-units (Accessed 15 October 2015).

4. Fast and accurate evaluation of cooling in data centers;Bhagwat;J. Electron. Packag.,2015

5. Maximizing server utilization while meeting critical SLAs via weight-based collocation management;Blagodurov,2013

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sustainable energy efficient workflow classification and scheduling in geo distributed cloud datacenter;Discover Sustainability;2024-06-25

2. A systematic review of green-aware management techniques for sustainable data center;Sustainable Computing: Informatics and Systems;2024-04

3. MOSAIC: A Multi-Objective Optimization Framework for Sustainable Datacenter Management;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

4. SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy-Aware Data Center Management;Proceedings of the 14th International Green and Sustainable Computing Conference;2023-10-28

5. Performance assessment of ensembles of in situ workflows under resource constraints;Concurrency and Computation: Practice and Experience;2022-06-08