Divide and conquer: scalability and variability for adaptive middleware

ABSTRACT

In this paper, we introduce a divide and conquer approach for the adaptation of distributed applications management by a potentially large number of interacting middleware instances. The method aims at a quick partitioning of the overall problem into smaller sub-problems that can be solved almost independently. The partitioning is found by symbolic reasoning and by applying expert knowledge that is encoded in explicit rules.

REFERENCES

• 1: IST MUSIC project. www.ist-music.eu
• 2: IST MADAM project. "Theory of Adaptation". Deliverable 2.2. December 2006. p. 44--49. www.ist-madam.org
• 3: Sousa, J. P. et. al. "Task-Based Adaptation for Ubiquitous Computing". IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 36(3), 2006.
• 4: Naveed Arshad , Dennis Heimbigner , Alexander. L. Wolf, Deployment and Dynamic Reconfiguration Planning for Distributed Software Systems, Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence, p.39, November 03-05, 2003
• 5: Dana Nau , Malik Ghallab , Paolo Traverso, Automated Planning: Theory & Practice, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2004

INDEX TERMS

Primary Classification:
  D. Software
  D.4 OPERATING SYSTEMS
      D.4.7 Organization and Design
          Subjects: Distributed systems

General Terms:
Algorithms, Design, Performance

Keywords:
adaptive middleware, hierarchical decomposition, symbolic reasoning