Collaborative edge caching through service function chaining: architecture and challenges

Lei, Lei, Xiong, Xiong, Hou, Lu, and Zheng, Kan (2018) Collaborative edge caching through service function chaining: architecture and challenges. IEEE Wireless Communications Magazine, 25 (3). pp. 94-102.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1109/MWC.2018.1700321
12


Abstract

Edge caching enables mobile users to fetch contents from cache servers deployed at base stations or even closer to users, with the aim of avoiding latency and improving the overall user experience while reducing backhaul/fronthaul bandwidth use. While sophisticated edge caching policies have been extensively studied in recent works, the practical implementation issues of edge caching are rarely touched. In this article, we first provide an overview of the edge caching policies proposed in the existing literature. Then we present the architecture for edge caching, in which the mobile edge applications can be conveniently provided by chaining the service functions with the aid of edge computing techniques and virtualized resources. Next, we discuss the challenges in implementing the existing caching policies based on the proposed framework. Finally, we build a testbed to evaluate our architecture in a proof of concept and test it with typical caching scenarios. Our experiments show that the proposed framework allows guaranteeing the requirements of the edge caching services.

Item ID: 54749
Item Type: Article (Research - C1)
ISSN: 1558-0687
Funders: China National Science Funding (NSF), Beijing University of Posts and Telecommunications (BUPT)
Projects and Grants: NSF Grant 61671089, BUPT Grant CX2016314
Date Deposited: 25 Jul 2018 07:52
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page