Anchor vertex selection for enhanced reliability of traffic offloading service in edge-enabled mobile P2P social networks

Article


Zhang, Hengda, Wang, Xiaofei, Fan, Hao, Cai, Taotao, Li, Jianxin, Li, Xiuhua and Leung, Victor C. M.. 2020. "Anchor vertex selection for enhanced reliability of traffic offloading service in edge-enabled mobile P2P social networks." Journal of Communications and Information Networks. 5 (2), pp. 217-224. https://doi.org/10.23919/JCIN.2020.9130437
Article Title

Anchor vertex selection for enhanced reliability of traffic offloading service in edge-enabled mobile P2P social networks

Article CategoryArticle
AuthorsZhang, Hengda, Wang, Xiaofei, Fan, Hao, Cai, Taotao, Li, Jianxin, Li, Xiuhua and Leung, Victor C. M.
Journal TitleJournal of Communications and Information Networks
Journal Citation5 (2), pp. 217-224
Number of Pages8
Year2020
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationChina
ISSN2096-1081
2509-3312
Digital Object Identifier (DOI)https://doi.org/10.23919/JCIN.2020.9130437
Web Address (URL)https://ieeexplore.ieee.org/abstract/document/9130437
AbstractAs the rapid growth of mobile social networks, mobile peer-to-peer (P2P) communications and mobile edge computing (MEC) have been developed to reduce the traffic load and improve the computation capacity of cellular networks. However, the stability of social network is largely ignored in the advances of P2P and MEC, which is related to the social relations between users. It plays a vital role in improving the efficiency and reliability of traffic offloading service. In this paper, we integrate an edge node and the nearby P2P users as a mobile P2P social network and introduce the problem of adaptive anchored (k,r)-core to maintain the stability of multiple mobile P2P networks. It aims to adaptively select and retain a set of critical users for each network, whose participation is critical to overall stability of the network, and allocate certain resource for them so that the maximum number of users of all networks will remain engaged and the traffic of cellular network can be minimized. We called the retained users as anchor vertices. To address it, we devise a peer-edge-cloud framework to achieve the adaptive allocation of resources. We also develop a similarity based onion layers anchored (k,r)-core (S-OLAK) algorithm to explore the anchor vertices. Experimental results based on a real large-scale mobile P2P data set demonstrate the effectiveness of our method.
Keywordstraffic offloading service; mobile P2P communications; mobile edge computing; anchored k-core problem; adaptive allocation
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460599. Data management and data science not elsewhere classified
Public NotesFiles associated with this item cannot be displayed due to copyright restrictions.
Byline AffiliationsTianjin University, China
Deakin University
Chongqing University, China
University of British Columbia, Canada
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