Balance of power: dynamic thermal management for Internet data centers
By Ratnesh K. Sharma, Cullen E. Bash, C. Patel, R. Friedrich, Jeffrey S. Chase. IEEE Internet Computing, 2005
381 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems
View Paper: https://www.semanticscholar.org/paper/e40ad5a7f935a5800ab66c533858e849df17a528
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
- Rajkumar Buyya
- Anton Beloglazov
- Jemal H. Abawajy
- Marcos Dias de Assunção
- Laurent Lefèvre
- Anne-Cécile Orgerie
- Parthasarathy Ranganathan
- José A. B. Fortes
In Hardware and Architecture
- Rajkumar Buyya
- Anton Beloglazov
- Laurent Lefèvre
- José A. B. Fortes
- Jemal H. Abawajy
- Parthasarathy Ranganathan
- Jing Xu
- Anne-Cécile Orgerie
In Information Systems
- Rajkumar Buyya
- Anton Beloglazov
- Jemal H. Abawajy
- Marcos Dias de Assunção
- Laurent Lefèvre
- Anne-Cécile Orgerie
- Parthasarathy Ranganathan
- José A. B. Fortes
Citations in the corpus
- Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments (2010, background): “Paper [19][31] addresses the similar problem and proposes to measure cooling efficiency for guiding the workload placement.”
- Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers (2005, methodology): “Current work in the field of thermal management explores efficient methods of extracting heat from the data center [23] [27].”
- Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing (2012, background): “Recently, a number of research works have been done on the thermal-efficient resource management in data centers [28, 29].”
- A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, methodology): “An HP technical report [Patel et al. 2002] presents the typical case of an infrastructure with a PUE of 1.5, meaning that cooling by itself consumes half the amount of power used by the computing resources.”
- Energy Efficient Resource Management in Virtualized Cloud Data Centers (2010, positive): “Recently, a number of research works have been done on thermal efficient resource management in data centers [14, 9].”