Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)

An Energy-Efficient Data Placement Algorithm and Node Scheduling Strategies in Cloud Computing Systems

Authors
Yanwen Xiao, Jinbao Wang, Yaping Li, Hong Gao
Corresponding Author
Yanwen Xiao
Available Online July 2013.
DOI
https://doi.org/10.2991/cse.2013.15How to use a DOI?
Keywords
cloud computing; data placement algorithm; node-scheduling strategies; energy efficiency
Abstract
With the rise of the cloud computing, saving energy consumed by cloud systems has become a tricky issue nowadays. How to place data efficiently and schedule the nodes effectively in a cloud platform are very important issues from the view of the energy-saving. However, the state-of-the-art node-scheduling strategies can’t save large amount of energy for the cloud computing platforms significantly. This paper proposes a heuristic data placement algorithm and two node scheduling strategies for cloud platforms to save energy with tasks guaranteed. The Cloudsim is employed to simulate a private cloud system. Energy-saving is achieved by turning on minimum nodes to cover maximum data blocks. The problem of covering data block with computing nodes is abstracted as a set cover problem, and a greedy algorithm is utilized to solve this problem. This approach is practical to any cloud computing infrastructure. The designed experiment verifies the efficiency of the data placement algorithm and node scheduling strategies proposed in this paper.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90786-77-70-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/cse.2013.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanwen Xiao
AU  - Jinbao Wang
AU  - Yaping Li
AU  - Hong Gao
PY  - 2013/07
DA  - 2013/07
TI  - An Energy-Efficient Data Placement Algorithm and Node Scheduling Strategies in Cloud Computing Systems
BT  - 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.15
DO  - https://doi.org/10.2991/cse.2013.15
ID  - Xiao2013/07
ER  -