Abstract
The increasing demand of Big Data processing in distributed datacenters calls for a highly efficient framework to maximize profit of the cloud service providers, i.e., CSPs. In this work, we jointly consider the key parameters of datacenter operations to model service requests acceptance control, requests dispatching, and VM provisioning as an integrated optimization framework based on Lyapunov optimization theory. An efficient online algorithm is proposed to provide CSPs with the advices concerning the three important control decisions to obtain the maximal time-averaged profit over the long run. A rigorous mathematical analysis is given to verify that the proposed method is able to obtain a time averaged profit that is arbitrarily close to optimum, while keeping the system stable.
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Bao, W., Wang, J., Zhu, X. (2016). Maximize Profit for Big Data Processing in Distributed Datacenters. In: Pop, F., Kołodziej, J., Di Martino, B. (eds) Resource Management for Big Data Platforms. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-44881-7_5
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DOI: https://doi.org/10.1007/978-3-319-44881-7_5
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