What is it about?
The paper demonstrate a load scheduling algorithm that can minimize the total energy consumption in a bus network. The algorithm can lower CPU speed as needed to save energy using DVS. It is effective to save energy in computing-intensive scenarios, and it can be used in many large-scale computing systems, such as cloud computing, computational grids, and parallel clusters.
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Why is it important?
Nowadays, large-scale computing systems consume more and more power and energy, and operational cost has increased significantly. The energy consumption has turned into a problem of great concern. This paper focuses on this problem to minimize the total energy consumption in the application layer above operating system. The algorithm proposed in this paper can save energy effectively.
Perspectives
This paper focuses on the energy consumption problem in large-scale distributed computing systems, and proposes an energy-aware scheduling algorithm to reduce energy consumption. Because this algorithm can adjust CPU speed in the application layer to satisfy actual computing needs, it is more effective for computing-intensive systems. The algorithm is designed for divisible loads and can be used widely in many computing systems, such as cloud computing, computational grids and parallel clusters.
Mr Duanyang Liu
Zhejiang University of Technology
Read the Original
This page is a summary of: An energy-aware scheduling algorithm for divisible loads in a bus network, Concurrency and Computation Practice and Experience, November 2015, Wiley,
DOI: 10.1002/cpe.3713.
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