Accelerating Internet Streaming Media Delivery using Network-Aware Partial Caching

Internet streaming applications are affected by adverse network conditions such as high packet loss rates and long delays. This paper aims at mitigating such effects by leveraging the availability of client-side caching proxies. We present a novel caching architecture and associated cache management algorithms that turn edge caches into accelerators of streaming media delivery. A salient feature of our caching algorithms is that they allow partial caching of streaming media objects and joint delivery of content from caches and origin servers. The caching algorithms we propose are both network-aware and stream-aware; they take into account the popularity of streaming media objects, their bit-rate requirements, and the available bandwidth between clients and servers. Using realistic models of Internet bandwidth derived from proxy cache logs and measured over real Internet paths, we have conducted simulations to evaluate the performance of various cache management alternatives. Our exper...

• Type: Conference
• Year: 2002
• Where: ICDCS
• Authors: Shudong Jin, Azer Bestavros, Arun Iyengar
• Keywords: Caching, Caching Algorithms, Distributed And Parallel Computing, ICDCS 2002, Streaming Media