Abstract
Cloud computing is becoming more and more popular and attracts considerable attention. In the there-tire cloud environment, an important problem is to determine the optimal multi-server system configuration so that the profit of the service provider can be maximized. In related work, the maximum allowed waiting time of service is assumed to be a constant, and the rental price is also assumed to be constant for all servers despite the fact that different servers have different execution speeds. These assumptions may not be valid in realistic cloud environments. In this paper, we propose an optimization model to determine the optimal configuration of the multi-server system. There are two major differences of the proposed model with that of the existing work. First, the maximum allowed waiting time is not a constant and may change with different service requests. Second, the situation that the servers with different execution speed may have different rental prices is taken into account. Experiments are carried out to verify the performance of the proposed optimization model. The results show that the proposed optimization model can help the service provider gain more profit than the existing work.
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Acknowledgements
This work is supported by Sichuan Provincial Project of International Scientific and Technical Exchange and Research Collaboration Programs (Project No. 2016HH0023).
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Kang, Z., Yang, B. (2018). A Study of Optimal Multi-server System Configuration with Variate Deadlines and Rental Prices in Cloud Computing. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_25
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DOI: https://doi.org/10.1007/978-3-319-74521-3_25
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