Energy-Efficient Thermal-Aware Task Scheduling for Homogeneous High-Performance Computing Data Centers: A Cyber-Physical Approach

By Qinghui Tang, Sandeep K. S. Gupta, Georgios Varsamopoulos. IEEE Transactions on Parallel and Distributed Systems, 2008

502 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9ba533adf4776c0a708d2f5a2431ce2ab35bf915

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Panagiotis D. Diamantoulakis
2. H. Suo
3. V. M. Kapinas
4. George K. Karagiannidis
5. Jiafu Wan
6. Prem Prakash Jayaraman
7. Abdul Hameed
8. Albert Y. Zomaya

Citations in the corpus

• Big Data Analytics for Dynamic Energy Management in Smart Grids (2015, methodology): “Many approaches have been developed so far to further increase the energy efficiency of HPC data centers, such as energy conscious scheduling in [66], the cooperation with the SG in [67] and thermal-aware task scheduling in [53].”
• A survey of Cyber-Physical Systems (2011, background): “In [19], a peak inlet temperature minimization problem is formulated to improve the energy efficiency.”
• A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems (2016, background): “Power-aware scheduling process works at circuit, device, architectural, compiler, operating system, and networking layers [57].”