Fine-Grained Self-Healing Hardware for Large-Scale Autonomic Systems

  • Authors:
  • Vinu Vijay Kumar;John Lach

  • Affiliations:
  • -;-

  • Venue:
  • DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
  • Year:
  • 2003

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Abstract

The hardware redundancy costs required for self-healingsystems increase with system complexity, creatingconcerns about the cost-feasibility of large-scaleautonomic systems. Redundancy costs can be minimizedwithout reducing reliability by providing finest-grainedfault recovery, but modern redundancy techniques are noteffective for sub-component-level recovery.This paper introduces a design technique for low-cost,fine-grained self-healing hardware. Small amounts ofreconfigurable logic are integrated within primarilyfixed-logic circuits to provide heterogeneous redundancyfor efficient fine-grained, self-contained fault detection,diagnosis, and recovery. When combined with traditionalcoarse-grained recovery techniques for larger failures,this technique enables large-scale self-healing systemswith reduced redundancy costs.