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Execution cost minimization scheduling algorithms for deadline-constrained parallel applications on heterogeneous clouds

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Abstract

The problem of minimizing the execution monetary cost of applications on cloud computing platforms has been studied recently, and satisfying the deadline constraint of an application is one of the most important quality of service requirements. Previous method of minimizing the execution monetary cost of deadline-constrained applications was the “upward” approach (i.e., fromexit toentry tasks) rather than combining the “upward” and “downward” approaches. In this study, we propose monetary cost optimization algorithm (DCO/DUCO) by employing “downward” and “upward” approaches together to solve the problem of execution cost minimization. “Downward” cost optimization is implemented by introducing the concept of the variable deadline-span and transferring the deadline of an application to each task. On the basis of DCO, the slack time is utilized to implement “upward” cost optimization without violating the precedence constraints among tasks and the deadline constraint of the application. Experimental results illustrate that the proposed approach is more effective than the existing method under various conditions.

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Acknowledgements

This work is partially supported by the National Natural Science Foundation of China with Grant Nos. 61672217, 61602164, 61702172, the Natural Science Foundation of Hunan Province, China with Grant Nos. 2018JJ3076, 2018JJ2063, the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

    Weihong Chen, Guoqi Xie & Renfa Li

  2. College of Information and Electronic Engineering, Hunan City University, Yiyang, China

    Weihong Chen

  3. Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, China

    Guoqi Xie & Renfa Li

  4. Department of Computer Science, State University of New York, New Paltz, New York, 12561, USA

    Keqin Li

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  1. Weihong Chen

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  2. Guoqi Xie

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Correspondence toGuoqi Xie.

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Chen, W., Xie, G., Li, R.et al. Execution cost minimization scheduling algorithms for deadline-constrained parallel applications on heterogeneous clouds.Cluster Comput24, 701–715 (2021). https://doi.org/10.1007/s10586-020-03151-w

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