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14th International Workshop on Database and Expert Systems Applications (DEXA'03)
Fine-Grained Self-Healing Hardware for Large-Scale Autonomic Systems
Prague, Czech Republic
September 01-September 05
ISBN: 0-7695-1993-8
Vinu Vijay Kumar, University of Virginia
John Lach, University of Virginia
The hardware redundancy costs required for self-healing systems increase with system complexity, creating concerns about the cost-feasibility of large-scale autonomic systems. Redundancy costs can be minimized without reducing reliability by providing finest-grained fault recovery, but modern redundancy techniques are not effective for sub-component-level recovery.
This paper introduces a design technique for low-cost, fine-grained self-healing hardware. Small amounts of reconfigurable logic are integrated within primarily fixed-logic circuits to provide heterogeneous redundancy for efficient fine-grained, self-contained fault detection, diagnosis, and recovery. When combined with traditional coarse-grained recovery techniques for larger failures, this technique enables large-scale self-healing systems with reduced redundancy costs.
Citation:
Vinu Vijay Kumar, John Lach, "Fine-Grained Self-Healing Hardware for Large-Scale Autonomic Systems," dexa, pp.707, 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003
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