UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Framework and Algorithms for Operator-Managed Content Caching

Saino, L; Psaras, I; Pavlou, G; (2020) Framework and Algorithms for Operator-Managed Content Caching. IEEE Transactions on Network and Service Management , 17 (1) pp. 562-576. 10.1109/tnsm.2019.2956525. Green open access

[img]
Preview
Text
Saino-20-hashrouting-TNSM.pdf - Published version

Download (894kB) | Preview

Abstract

We propose a complete framework targeting operator-driven content caching that can be equally applied to both ISP-operated Content Delivery Networks (CDNs) and future Information-Centric Networks (ICNs). In contrast to previous proposals in this area, our solution leverages operators’ control on cache placement and content routing, managing to considerably reduce network operating costs by minimizing the amount of transit traffic and balancing load among available network resources. In addition, our solution provides two key advantages over previous proposals. First, it allows for a simple computation of the optimal cache placement. Second, it provides knobs for operators to fine-tune performance. We validate our design through both analytical modeling and trace-driven simulations and show that our proposed solution achieves on average twice as many cache hits in comparison to previously proposed techniques, without increasing delivery latency. In addition, we show that the proposed framework achieves 19-33% better load balancing across links and caching nodes, being also robust to traffic spikes.

Type: Article
Title: Framework and Algorithms for Operator-Managed Content Caching
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tnsm.2019.2956525
Publisher version: https://doi.org/10.1109/TNSM.2019.2956525
Language: English
Additional information: This version is the author accepted manuscript record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Routing , Robustness , Knowledge engineering , Network topology , Load modeling , Market research , Topology
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10093485
Downloads since deposit
26Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item