Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141655
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dc.contributor.authorLiu, Lanchaoen_US
dc.contributor.authorNiyato, Dusiten_US
dc.contributor.authorWang, Pingen_US
dc.contributor.authorHan, Zhuen_US
dc.date.accessioned2020-06-10T01:41:46Z-
dc.date.available2020-06-10T01:41:46Z-
dc.date.issued2018-
dc.identifier.citationLiu, L., Niyato, D., Wang, P., & Han, Z. (2018). Scalable traffic management for mobile cloud services in 5G networks. IEEE Transactions on Network and Service Management, 15(4), 1560-1570. doi:10.1109/TNSM.2018.2867019en_US
dc.identifier.issn1932-4537en_US
dc.identifier.urihttps://hdl.handle.net/10356/141655-
dc.description.abstractMobile cloud computing has been introduced to improve the performance of mobile application clients by offloading data processing and storage to cloud. By deploying the service on several cloud-enabled data centers, the service provider can optimally locate service instances on the cloud to provide qualified services at a reasonable cost. However, a centralized approach for both request allocation and response routing does not scale efficiently due to a large number of mobile clients involved in the mobile service traffic management. Moreover, the random and unpredictable wireless network performance (e.g., delay) complicates the problem further. In this paper, we present a stochastic distributed optimization framework for mobile cloud traffic management in 5G networks. The framework takes the impact of random wireless network characteristics into account. Utilizing the alternating direction method of multipliers, the optimization problem is decomposed into independent subproblems, which are solved in a parallel fashion on distributed agents and coordinated through dual variables. The convergence issue under the stochastic setting is addressed, and the numerical tests validate the effectiveness of the proposed algorithm.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Network and Service Managementen_US
dc.rights© 2018 IEEE. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleScalable traffic management for mobile cloud services in 5G networksen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.identifier.doi10.1109/TNSM.2018.2867019-
dc.identifier.scopus2-s2.0-85052691334-
dc.identifier.issue4en_US
dc.identifier.volume15en_US
dc.identifier.spage1560en_US
dc.identifier.epage1570en_US
dc.subject.keywordsMobile Cloud Computingen_US
dc.subject.keywords5G Networksen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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