Expressing and Enforcing Distributed Resource Sharing Agreements

Abstract

Advances in computing and networking technology, and an explosion in information sources has resulted in a growing number of distributed systems getting constructed out of resources contributed by multiple sources. Use of such resources is typically governed by sharing agreements between owning principals, which limit both who can access a resource and in what quantity. Despite their increasing importance, existing resource management infrastructures offer only limited support for the expression and enforcement of sharing agreements, typically restricting themselves to identifying compatible resources. In this paper, we present a novel approach building on the concepts of tickets and currencies to express resource sharing agreements in an abstract, dynamic, and uniform fashion. We also formulate the allocation problem of enforcing these agreements as a linear-programming model, automatically factoring the transitive availability of resources via chained agreements. A case study modeling resource sharing among ISP-level web proxies shows the benefits of enforcing transitive agreements: worst-case waiting times of clients accessing these proxies improves by up to two orders of magnitude.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA440802

Entities

People

  • Tao Zhao
  • Vijay Karamcheti

Organizations

  • New York University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Algorithms
  • Availability
  • Bandwidth
  • Batch Processing
  • Case Studies
  • Computer Programming
  • Computer Science
  • Computers
  • Governments
  • Linear Programming
  • Load Monitoring
  • Money
  • Resource Management
  • Simulations
  • Simulators

Fields of Study

  • Computer science

Readers

  • Economics
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Parallel and Distributed Computing.