Abstract
In a fault tolerant system using rollback-recovery protocols, the performance of the system is degraded because of the increment of saved fault tolerance information. To avoid degrading its performance, we propose novel multi-agents based garbage-collection technique that deletes useless fault tolerance information. We define and design a garbage-collection agent for garbage-collection of fault tolerance information, a information agent for management of fault tolerant information, and a facilitator agent for communication between agents. And we propose the garbage-collection algorithm(GCA) using these agents. Our rollback recovery method is based on independent checkpointing protocol and sender based pessimistic message logging protocol. To prove the correctness of the garbage-collection algorithm, we introduce failure injection during operation and compare the domain knowledge of the proposed system using GCA with the domain knowledge of another system without GCA.
| Original language | English |
|---|---|
| Pages (from-to) | 104-108 |
| Number of pages | 5 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 2690 |
| Publication status | Published - 2004 Dec 1 |
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ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Managing fault tolerance information in multi-agents based distributed systems. / Lee, Dae Won; Chung, Kwang Sik; Lee, Hwa Min; Park, Seongbin; Lee, Young Jun; Yu, Heonchang; Lee, Won Gyu.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2690, 01.12.2004, p. 104-108.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Managing fault tolerance information in multi-agents based distributed systems
AU - Lee, Dae Won
AU - Chung, Kwang Sik
AU - Lee, Hwa Min
AU - Park, Seongbin
AU - Lee, Young Jun
AU - Yu, Heonchang
AU - Lee, Won Gyu
PY - 2004/12/1
Y1 - 2004/12/1
N2 - In a fault tolerant system using rollback-recovery protocols, the performance of the system is degraded because of the increment of saved fault tolerance information. To avoid degrading its performance, we propose novel multi-agents based garbage-collection technique that deletes useless fault tolerance information. We define and design a garbage-collection agent for garbage-collection of fault tolerance information, a information agent for management of fault tolerant information, and a facilitator agent for communication between agents. And we propose the garbage-collection algorithm(GCA) using these agents. Our rollback recovery method is based on independent checkpointing protocol and sender based pessimistic message logging protocol. To prove the correctness of the garbage-collection algorithm, we introduce failure injection during operation and compare the domain knowledge of the proposed system using GCA with the domain knowledge of another system without GCA.
AB - In a fault tolerant system using rollback-recovery protocols, the performance of the system is degraded because of the increment of saved fault tolerance information. To avoid degrading its performance, we propose novel multi-agents based garbage-collection technique that deletes useless fault tolerance information. We define and design a garbage-collection agent for garbage-collection of fault tolerance information, a information agent for management of fault tolerant information, and a facilitator agent for communication between agents. And we propose the garbage-collection algorithm(GCA) using these agents. Our rollback recovery method is based on independent checkpointing protocol and sender based pessimistic message logging protocol. To prove the correctness of the garbage-collection algorithm, we introduce failure injection during operation and compare the domain knowledge of the proposed system using GCA with the domain knowledge of another system without GCA.
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UR - http://www.scopus.com/inward/citedby.url?scp=35048848011&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:35048848011
VL - 2690
SP - 104
EP - 108
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SN - 0302-9743
ER -