2006•IEEE Distributed Systems OnlineRequires access

A Case for Peering of Content Delivery Networks

Rajkumar Buyya, Al-Mukaddim Khan Pathan, James Broberg, Zahir Tari

Open publisher page 50 citations

Abstract

The authors present a model for an open, scalable, and service-oriented architecture (SOA)-based system. This system helps to create open Content and Service Delivery Networks that scale well and can share resources with other CSDNs through cooperation and coordination, thus overcoming the island CDN problem.

About this research paper

What this paper is about

The authors present a model for an open, scalable, and service-oriented architecture (SOA)-based system. This system helps to create open Content and Service Delivery Networks that scale well and can share resources with other CSDNs through cooperation and coordination, thus overcoming the island CDN problem.

Why it matters

OpenAlex reports 50 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The authors present a model for an open, scalable, and service-oriented architecture (SOA)-based system. This system helps to create open Content and Service Delivery Networks that scale well and can share resources with other CSDNs through cooperation and coordination, thus overcoming the island CDN problem.

Key concepts: Peering, Computer science, Scalability, Content delivery, Computer network, Content delivery network, Architecture, Distributed computing

Related papers

Back to paper searchBrowse research topicsOriginal source
A Case for Peering of Content Delivery Networks — Research Paper | ScholarLens