Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions

By Young Choon Lee, Albert Y. Zomaya. IEEE Transactions on Parallel and Distributed Systems, 2011

328 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/07e6ca15ba66473976f6b5d462a235c92cfc82d6

How researchers see this paper

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

In Computer Networks and Communications

1. George K. Karagiannidis
2. Yonggang Wen
3. Miyuru Dayarathna
4. Panagiotis D. Diamantoulakis
5. V. M. Kapinas
6. Fons Wijnhoven
7. Martijn Koot

In Hardware and Architecture

1. George K. Karagiannidis
2. Yonggang Wen
3. Miyuru Dayarathna
4. Panagiotis D. Diamantoulakis
5. V. M. Kapinas
6. Fons Wijnhoven
7. Martijn Koot

In Information Systems

1. George K. Karagiannidis
2. Yonggang Wen
3. Miyuru Dayarathna
4. Panagiotis D. Diamantoulakis
5. V. M. Kapinas
6. Fons Wijnhoven
7. Martijn Koot

Citations in the corpus

• Data Center Energy Consumption Modeling: A Survey (2016, background): “The primary source of the dynamic power consumption is the switched capacitance (Capacitive power [79]).”
• 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].”