Abstract
OpenMP applications have been mostly executed on high-performance devices. As problem size expands and users’ demands for performance increase, whether to purchase higher-performance computers has become a problem faced by the organizations. Cloud offers a new way to solve this problem, which can automatically allocate elastic resources to meet different workload demands. In this paper, a vertical elastic solution for OpenMP applications is proposed, which is a combination of exponential smoothing and fuzzy logic control. According to the solution, an elasticity controller ECOMP was implemented, and the experimental verification was conducted from performance and accuracy. The results show that the controller can complete vertical elasticity scaling of resources, shorten the execution time of the program and improve the resource utilisation efficiency.
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Acknowledgments
This work was supported by National Natural Science Foundation of China (No. 61962039) and Inner Mongolia Natural Science Foundation (No. 2019MS06032).
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Zhao, J., Zhang, M., Yang, H. (2021). Vertical Scaling of Resource for OpenMP Application. In: Hacid, H., Kao, O., Mecella, M., Moha, N., Paik, Hy. (eds) Service-Oriented Computing. ICSOC 2021. Lecture Notes in Computer Science(), vol 13121. Springer, Cham. https://doi.org/10.1007/978-3-030-91431-8_61
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DOI: https://doi.org/10.1007/978-3-030-91431-8_61
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