Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
By Rong Ge, Xizhou Feng, K. Cameron. International Conference on Software Composition, 2005
389 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/dd97355244bb2e1b369be0b2617e8452710ca44b
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
- Yonggang Wen
- Miyuru Dayarathna
- Rajkumar Buyya
- Jong Kim
- Kyong Hoon Kim
- Marcos Dias de Assunção
- Albert Y. Zomaya
- Laurent Lefèvre
In Hardware and Architecture
- Rajkumar Buyya
- Yonggang Wen
- Miyuru Dayarathna
- Jong Kim
- Kyong Hoon Kim
- Laurent Lefèvre
- Gregor von Laszewski
- Lizhe Wang
Citations in the corpus
- A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, background): “…node-level techniques to curb the energy consumption of computing resources, including switching off resources (using sleep states), configuring different voltages and frequencies for the CPU, improving the energy-efficiency of software and using energy-efficient hardware and low-level capabilities.”
- Power-aware scheduling of virtual machines in DVFS-enabled clusters (2009, methodology): “following previous work from [29] as an example and to allow”
- PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications (2010, methodology): “The same idea adopted in [17], [18] achieves significant energy savings with minimal performance impact.”
- Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters (2007, methodology): “In [7], they present a profile based optimization in MIPCH.”
- Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions (2011, background): “However, the majority of previous studies on scheduling that take into consideration energy consumption are conducted on homogeneous computing systems [4], [6], [7], [21].”
- Data Center Energy Consumption Modeling: A Survey (2016, background): “, Number of switches per clock cycle), C as the physical capacitance, V as the supply voltage, and f as the clock frequency; the dynamic power consumption can be defined as in Equation (7) [80][81][82],”