A framework for ensuring and improving dependability in highly distributed systems

  • Authors:

  • Sam Malek;Nels Beckman;Marija Mikic-Rakic;Nenad Medvidovic

  • Affiliations:

  • Computer Science Department, University of Southern California, Los Angeles, CA;Computer Science Department, University of Southern California, Los Angeles, CA;Computer Science Department, University of Southern California, Los Angeles, CA;Computer Science Department, University of Southern California, Los Angeles, CA

  • Venue:
  • Architecting Dependable Systems III
  • Year:
  • 2005

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Abstract

A distributed software system’s deployment architecture can have a significant impact on the system’s dependability. Dependability is a function of various system parameters, such as network bandwidth, frequencies of software component interactions, power usage, and so on. Recent studies have shown that the quality of deployment architectures can be improved significantly via active system monitoring, efficient estimation of the improved deployment architecture, and system redeployment. However, the lack of the appropriate tools for monitoring, analyzing, and effecting redeployment at the architectural level makes improving a system’s deployment architecture a very challenging problem. To cope with these challenges, developers typically resort to ad hoc solutions that decrease the potential for reuse and understandability. In this paper, we first present an extensible framework that guides the design and development of solutions for this type of problem, enables the extension and reuse of the solutions, and facilitates autonomic analysis and redeployment of a system’s deployment architecture. We then discuss a suite of extensible and integrated tools that help developers in realizing the framework.