Resource allocation between service computing and communication computing for mobile operator

Wang, Kezhi and Yang, Kun (2017) Resource allocation between service computing and communication computing for mobile operator. In: 2017 IEEE International Conference on Communications (ICC). IEEE, p. 7997240. ISBN 978-1-4673-9000-2

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With the fast development of the cloud computing and virtualization techniques, computation resources can be allocated more dynamically and scalably on demand. This paper aims to study two types of computing, i.e., service computing and communication computing. We have proposed to have both computing resource in mobile operator's mobile cloud and investigated how to jointly allocate them with the objective of reducing mobile operator's power consumption and meanwhile, improving mobile users' experience. In this paper, we have introduced the computing power minimization problem, which is NP-hard. By applying several transformations and estimations, the problem can be solved by the branch and bound solution. Also, admission control is considered in this paper. Simulation results have shown that the proposed joint resource allocation solution has a very good performance and outperforms the traditional fixed data rate guarantee algorithm.

Item Type: Book Section
Uncontrolled Keywords: Joint Resource Allocation, Communication Computing, Service Computing
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 25 Sep 2018 11:04
Last Modified: 11 Oct 2019 19:15

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