The Flux OSKit: A Substrate for Kernel and Language Research

Abstract

Implementing new operating systems is tedious, costly and often impractical except for large projects. The Flux OSKit addresses this problem in a novel way by providing clean, well-documented OS components designed to be reused in a wide variety of other environments rather than defining a new OS structure. The OSKit uses unconventional techniques to maximize its usefulness, such as intentionally exposing implementation details and platform-specific facilities. Further the OSKit demonstrates a technique that allows unmodified code from existing mature operating systems to be incorporated quickly and updated regularly, by wrapping it with a small amount of carefully designed "glue" code to isolate its dependencies and export well-defined interfaces. The OSKit uses this technique to incorporate over 230,000 lines of stable code including device drivers, file systems, and network protocols. Our experience demonstrates that this approach to component software structure and reuse has a surprisingly large impact in the OS implementation domain. Four real-world examples show how the OSKit is catalyzing research and development in operating systems and programming languages.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1997
Accession Number
ADA640072

Entities

People

  • Albert Lin
  • Bryan Ford
  • Godmar Back
  • Greg Benson
  • Jay Lepreau
  • Olin Shivers

Organizations

  • University of Utah

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Computing System Architectures
  • Debugging
  • Device Drivers
  • Kernels (Operating System)
  • Language
  • Network Protocols
  • Operating Systems
  • Programming Languages
  • Software Development
  • Standards
  • Systems Engineering
  • Virtual Machines

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Economics
  • Software Engineering.