Systems Integration of Large Scale Autonomic Systems Using Multiple Domain Specific Modeling Languages

  • Authors:
  • Shweta Shetty;Steven Nordstrom;Shikha Ahuja;Di Yao;Ted Bapty;Sandeep Neema

  • Affiliations:
  • Vanderbilt University;Vanderbilt University;Vanderbilt University;Vanderbilt University;Vanderbilt University;Vanderbilt University

  • Venue:
  • ECBS '05 Proceedings of the 12th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
  • Year:
  • 2005

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Abstract

Software design, development and maintenance for large scale systems has been one of the most difficult and expensive phases of the software development life cycle. Design and maintenance is especially difficult when the system includes autonomic features. As the system size and variety of autonomic behaviors scale up, it increases the chance of many unexpected and unwanted interactions. Separate design tools can hide these potential interactions. To face these challenges, we propose an autonomic system integration platform where holistic design models capture system structure, target system resources, and autonomic behavior. The fault mitigative, autonomic behavior can be explicitly coupled to the components and underlying resources of the system. System generation technology is used to create the software that implements these coupled specifications, including communication between components with custom data type marshalling and demarshalling, system startup and configuration, fault tolerant behavior, and autonomic procedures for self-correction. This modeling schema, along with the tools to generate the various system components are described in this paper.