A Mobility-Aware Task Scheduling Model in Mobile Grid

Article Preview

Abstract:

The mobile grids bring some additional features into the grid, such as mobility, energy-constrained, etc. And the task scheduling becomes a more challenge thing. We propose a mobile grid task scheduling model considering the mobility of both user and resource, and the resource energy consumption. Through analyzing the architecture of mobile grid, a mathematical model is built to calculate the average distance between the resource and Base Station (BS). Then, it can decide which mobile grid the mobile devices are apt to stay in, which can deal with the mobility of mobile devices. On the other hand, the resource energy consumption is also considered, which ensure that the resources have enough energy to finish the task. As a result, the task can be assigned to the best resources in the suitable mobile grids. The failures may happen in the task scheduling because of many unpredictable factors. So the fault-tolerance scheme based on the notion of replication is proposed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1786-1791

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Antonios Litke, Dimitrios Skoutas, Theodora Varvarigou: Mobile Grid Computing: Changes and Challenges of Resource Management in a Μobile Grid Environment, Environment Department of Electrical and Computer Engineering, National Technical University of Athens.

Google Scholar

[2] Chang-Qin Huang, Zhi-Ting Zhu, Yong-He Wu, in: Zheng-Hong Xiao, Machine Learning and Cybernetics, 2006 International Conference, 2006, pp.693-698.

Google Scholar

[3] S. -M. Park, Y. -B. Ko and J. -H. Kim, in: International Conference on Service Oriented Computing (ICSOC 2003), Trento, Italy, December 2003, pp.499-513.

DOI: 10.1007/978-3-540-24593-3_34

Google Scholar

[4] Farooq,U., Khalil, W: A Generic Mobility Model for Resource Prediction in Mobile Grids, Proceedings of the Int. Symp. on Collaborative Technologies and Systems(2006).

DOI: 10.1109/cts.2006.7

Google Scholar

[5] Ghosh, P., Roy,N., Das, SK, in: Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007, pp.701-706.

DOI: 10.1109/ccgrid.2007.73

Google Scholar

[6] Zhi Wang, Bo Yu, Qi Chen, Chuanshan Gao: Wireless Grid Computing over Mobile Ad-Hoc Networks with Mobile Agent, Proceedings of the First International Conference on Semantics, Knowledge, and Grid(SKG 2005).

DOI: 10.1109/skg.2005.146

Google Scholar

[7] Antonios Litke, Dimitrios Halkos, Konstantinos Tserpes, Dimosthenis Kyriazis and Theodora Varvarigou, in: Concurrency Computat. Pract. Exper, 2009, 21, p.533–556.

DOI: 10.1002/cpe.1351

Google Scholar