Skip to main content
Article thumbnail
Location of Repository

Adaptive, Workload-Dependent Scheduling for Large-Scale Content Delivery Systems

By Kevin C. Almeroth

Abstract

Content delivery has become an important application in the Internet. "Content" in this context can be a range of objects from movies to web pages to software distribution. A streaming content delivery server should provide nearly immediate and continuous service by provisioning sufficient server and local network resources for the duration of playout. Because of the resource implications of delivering many large files simultaneously, scalability is an important requirement. Good scalability can be achieved by using a single channel to serve multiple users waiting for the same object (referred to as batching). Batching is especially useful during high load periods. Typical strategies in use today for allocating channels use a greedy, allocate-as-needed policy with little consideration for anything other than satisfying the current request or maximizing the number of batched requests. Macroscopic system characteristics, like request arrival patterns, have stable long-term aver..

Topics: video server, scheduling, video-on-demand, multicast
Year: 2000
OAI identifier: oai:CiteSeerX.psu:10.1.1.32.7638
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://imj.ucsb.edu/papers/SIS... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.