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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
| ASCII Text | x | ||
| Vinu Vijay Kumar, John Lach, "Fine-Grained Self-Healing Hardware for Large-Scale Autonomic Systems," 2012 23rd International Workshop on Database and Expert Systems Applications, pp. 707, 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003. | |||
| BibTex | x | ||
| @article{ 10.1109/DEXA.2003.1232104, author = {Vinu Vijay Kumar and John Lach}, title = {Fine-Grained Self-Healing Hardware for Large-Scale Autonomic Systems}, journal ={2012 23rd International Workshop on Database and Expert Systems Applications}, volume = {0}, year = {2003}, issn = {1529-4188}, pages = {707}, doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2003.1232104}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 23rd International Workshop on Database and Expert Systems Applications TI - Fine-Grained Self-Healing Hardware for Large-Scale Autonomic Systems SN - 1529-4188 SP EP A1 - Vinu Vijay Kumar, A1 - John Lach, PY - 2003 KW - null VL - 0 JA - 2012 23rd International Workshop on Database and Expert Systems Applications ER - | |||
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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