Reliability and performance models for reconfigurable computer systems
A reconfigurable computer system can change its physical, functional, architectural, and other characteristics to improve its reliability, performance, or both. Since different notions of reconfiguration exist, a formal definition of reconfiguration and reconfigurable computers systems is provided. One of the main issues in reconfigurable computers is the design of reconfiguration algorithms which choose, at times of reconfiguration, system configurations optimal with respect to some reliability and performance attributes. Two types of optimization models are proposed for reconfiguration algorithms, namely Commodity distribution models and Sample path constrained Markov decision models. The commodity distribution models are useful for load balancing with resource migration in distributed systems. When the bottleneck cost of migration is minimized, the model reduces to a bottleneck transportation problem. The constrained Markov decision models are useful for reconfigurable fault-tolerant computers in which reconfiguration involves reliability, performance trade off.
- Research Organization:
- Pennsylvania Univ., Philadelphia (USA)
- OSTI ID:
- 7230956
- Resource Relation:
- Other Information: Thesis (Ph. D.)
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
COMPUTER NETWORKS
CONFIGURATION
DISTRIBUTED DATA PROCESSING
PARALLEL PROCESSING
ALGORITHMS
FAULT TOLERANT COMPUTERS
OPTIMIZATION
PERFORMANCE
RELIABILITY
COMPUTERS
DATA PROCESSING
DIGITAL COMPUTERS
MATHEMATICAL LOGIC
PROCESSING
PROGRAMMING
990210* - Supercomputers- (1987-1989)