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Journal of Applied Mathematics
Volume 2014, Article ID 237960, 10 pages
Research Article

Task Balanced Workflow Scheduling Technique considering Task Processing Rate in Spot Market

1Department of Computer Science Education, Korea University, 321A, Lyceum, Anam-Dong, Seongbuk-Gu, Seoul 136-701, Republic of Korea
2School of Information Technology Engineering, Catholic University of Daegu, Daegu, Republic of Korea
3Department of Computer Science, Dongduk Women’s University, Seoul, Republic of Korea

Received 21 January 2014; Accepted 4 June 2014; Published 29 June 2014

Academic Editor: Young-Sik Jeong

Copyright © 2014 Daeyong Jung et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Recently, the cloud computing is a computing paradigm that constitutes an advanced computing environment that evolved from the distributed computing. And the cloud computing provides acquired computing resources in a pay-as-you-go manner. For example, Amazon EC2 offers the Infrastructure-as-a-Service (IaaS) instances in three different ways with different price, reliability, and various performances of instances. Our study is based on the environment using spot instances. Spot instances can significantly decrease costs compared to reserved and on-demand instances. However, spot instances give a more unreliable environment than other instances. In this paper, we propose the workflow scheduling scheme that reduces the out-of-bid situation. Consequently, the total task completion time is decreased. The simulation results reveal that, compared to various instance types, our scheme achieves performance improvements in terms of an average combined metric of 12.76% over workflow scheme without considering the processing rate. However, the cost in our scheme is higher than an instance with low performance and is lower than an instance with high performance.