Abstract
In our previous studies, we propose a pair of LEAG (locally energy-aware) and GEAG (globally energy-aware) algorithms to select servers to perform processes which use CPU and storages in a cluster. However, it takes time to estimate the termination time of each current process on each server. In this paper, we newly propose a simple estimation model which uses only the number of processes performed on each server. Then, we propose a simple LEAG (SLEAG) and GEAG (SGEAG) algorithms to select a server. In the evaluation, we show the electric energy consumed by servers and the average execution time of processes can be more reduced in the SGEAG algorithm than the other algorithms.
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Acknowledgment
This work was supported by JSPS KAKENHI grant number 15H0295.
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Sawada, A., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M. (2018). Simple Energy-Aware Algorithms to Selecting a Server for Storage and Computation Processes in a Cluster. In: Barolli, L., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2017. Advances in Intelligent Systems and Computing, vol 612. Springer, Cham. https://doi.org/10.1007/978-3-319-61542-4_9
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DOI: https://doi.org/10.1007/978-3-319-61542-4_9
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