| Title | Consistent User-Traffic Allocation and Load Balancing in Mobile Edge Caching |
| Authors | Huang, Lemei Cheng, Sheng Guan, Yu Zhang, Xinggong Guo, Zongming |
| Affiliation | Peking Univ, Wangxuan Inst Comp Technol, Beijing 100871, Peoples R China PKU UCLA Joint Res Inst Sci & Engn, Los Angeles, CA USA |
| Issue Date | 2020 |
| Publisher | IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) |
| Abstract | Cache-equipped Base-Stations (CBSs) is an attractive alternative to offload the rapidly growing backhaul traffic in a mobile network. New 5G technology and dense femtocell enable one user to connect to multiple base-stations simultaneously. Practical implementation requires the caches in BSs to he regarded as a cache server, but few of the existing works considered how to offload traffic, or how to schedule HTTP requests to CBSs. In this work, we propose a DNS-based HTTP traffic allocation framework. It schedules user traffic among multiple CBSs by DNS resolution, with the consideration of load-balancing, traffic allocation consistency and scheduling granularity of DNS. To address these issues, we formulate the user-traffic allocation problem in DNS-based mobile edge caching, aiming at maximizing QoS gain and allocation consistency while maintaining load balance. Then we present. a simple greedy algorithm which gives a more consistent solution when user-traffic changes dynamically. Theoretical analysis proves that it is within 3/4 of the optimal solution. Extensive evaluations in numerical and trace-driven situations show that the greedy algorithm can avoid about 50% unnecessary shift in user-traffic allocation, yield more stable cache hit ratio and balance the load between CBSs without losing much of the QoS |
| URI | http://hdl.handle.net/20.500.11897/600848 |
| ISBN | 978-1-7281-8695-5 |
| ISSN | 2159-4228 |
| Indexed | CPCI-S(ISTP) |
| Appears in Collections: | 待认领 |
