Resource allocation between service computing and communication computing for mobile operator

Kezhi Wang, Kun Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
PublisherIEEE
ISBN (Electronic)9781467389990, 978-1-4673-9000-2
DOIs
Publication statusPublished - 31 Jul 2017
Externally publishedYes
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 21 May 201725 May 2017

Conference

Conference2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period21/05/1725/05/17

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