Oriented Overlays for Clustering Client Requests to Data-Centric Network Services

Abstract

Many of the data-centric network services deployed today hold massive volumes of data at their origin websites, accessing the data to dynamically generate responses. Such dynamic responses are poorly supported by traditional caching infrastructures and result in poor performance and scalability for such services. One way of remedying this situation is to develop alternative caching infrastructures, which can dynamically detect the often large degree of service usage locality and leverage such information to on-demand replicate and redirect requests to service portions at appropriate network locations. Key to building such infrastructures is the ability to cluster and inspect client requests, at various points across a wide-area network. This paper presents a zone-based scheme for constructing oriented overlays, which provide such an ability. Oriented overlays differ from previously proposed unstructured overlays, which provide such an ability. Oriented overlays differ from previously proposed unstructured overlays in supporting network traffic flows from many sources toward one (or a small number) of destinations, and vice-versa.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA444044

Entities

People

  • Congchun He
  • Vijay Karamcheti

Organizations

  • New York University

Tags

DTIC Thesaurus Topics

  • Clustering
  • Computer Science
  • Coordinate Systems
  • Geographic Regions
  • Infrastructure
  • Latitude
  • Longitude
  • Measurement
  • Models
  • Network Protocols
  • Networks
  • New York
  • North America
  • South America
  • United States
  • Websites
  • Wide Area Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Database Systems and Applications
  • Parallel and Distributed Computing.