Enhancing Survivability with Distributed Adaptive Coordination
Abstract
The focus of this effort was to develop distributed detection and diagnosis algorithms for use in recognizing and explaining the cause of unacceptable performance of a distributed, multi-agent system. The explanation generated by the diagnosis algorithms was to be used by other components of the agent to reorganize processing in order to improve performance given current capabilities and resources. In this way, the system would have a higher degree of survivability in the event of software errors, hardware malfunctions, or hostile attacks. The researchers view survivable systems as computational organizations that can redesign themselves in response to threats and opportunities. A central assumption of organizational design is that there exist alternative ways to accomplish tasks in terms of agents, methods and resources used. In systems of any complexity, such alternatives do exist, and systems constructed for survivability will intentionally contain them. Under these conditions, the central challenges of survivability are making effective use of the available alternatives, acquiring knowledge about those alternatives, and making inferences based on that knowledge.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2003
- Accession Number
- ADA417471
Entities
People
- Victor Lesser
Organizations
- University of Massachusetts Amherst