1 research outputs found
Towards Network-Failure-Tolerant Content Delivery for Web Content
Popularly used to distribute a variety of multimedia content items in today
Internet, HTTP-based web content delivery still suffers from various content
delivery failures. Hindered by the expensive deployment cost, the conventional
CDN can not deploy as many edge servers as possible to successfully deliver
content items to all users under these delivery failures. In this paper, we
propose a joint CDN and peer-assisted web content delivery framework to address
the delivery failure problem. Different from conventional peer-assisted
approaches for web content delivery, which mainly focus on alleviating the CDN
servers bandwidth load, we study how to use a browser-based peer-assisted
scheme, namely WebRTC, to resolve content delivery failures. To this end, we
carry out large-scale measurement studies on how users access and view
webpages. Our measurement results demonstrate the challenges (e.g., peers stay
on a webpage extremely short) that can not be directly solved by conventional
P2P strategies, and some important webpage viewing patterns. Due to these
unique characteristics, WebRTC peers open up new possibilities for helping the
web content delivery, coming with the problem of how to utilize the dynamic
resources efficiently. We formulate the peer selection that is the critical
strategy in our framework, as an optimization problem, and design a heuristic
algorithm based on the measurement insights to solve it. Our simulation
experiments driven by the traces from Tencent QZone demonstrate the
effectiveness of our design: compared with non-peer-assisted strategy and
random peer selection strategy, our design significantly improves the
successful relay ratio of web content items under network failures, e.g., our
design improves the content download ratio up to 60% even when users located in
a particular region (e.g., city) where none can connect to the regional CDN
server