The New Global Information Economy: Implications and Recommendations for Service-Oriented Architectures (SOAs)

Abstract

Service-oriented architecture (SOA), a term often used today in conjunction with net-centric operations, implies that existing and future DoD information capabilities will be engineered to publish product and/or service offerings within a strategic context that allows virtually all employees and applications to readily discover and use them. SOA principles are essential to transforming traditional system-centric Defense organizations into Information Age activities that are net-centric, architecturally agile, and otherwise responsive to fast changing mission and business needs. The large-scale service-oriented architectures that DoD planners envision are designed to lower barriers to dynamic information sharing and improve content quality, quantity and propriety by leveraging the power of self-organization, self-synchronization and market forces. For these reasons, SOAs promise to help organizations deliver unprecedented value to their customers. In this paper we review a few key concepts of service-oriented architectures as fundamental enablers of net-centricity. We then examine the implications for SOAs in the new DoD global information economy and offer a few key recommendations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA461556

Entities

People

  • Tim Bass
  • William Donahue

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Command And Control
  • Command And Control Systems
  • Commerce
  • Complex Systems
  • Computing System Architectures
  • Department Of Defense
  • Economic Systems
  • Information Systems
  • Military Operations
  • National Security
  • Network Architecture
  • Network Science
  • Service Oriented Architecture
  • Systems Engineering
  • Warfare
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Economics
  • Software Engineering.