Title | ||
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Fault-Tolerant Control, Fault Diagnosis And Recovery In Runtime Of Business Docking Service Composition Flow In The Cloud Environment |
Abstract | ||
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In the design and remote maintenance of district and city petition business docking platform, loose coupling environment of service composition flow, and autonomy of distributed resources can easily lead to failures of interprocess interaction, the platform running will gradually changes form trouble-free operation to operation with fault, so we design a docking platform with fault-isolation and fault-tolerance control based on services choreography and orchestration, and a remote monitoring system based on fault-diagnosis by fussy inference. More than two years' operation and remote maintenance verify the effectiveness of the fault-tolerant control mode in the process of business docking services composition. Achieve the goal, that the improving of fault-recovery mechanism and the changing of business docking requirements won't affect each other. Accordingly, it reduces the complexity of maintenancing services composition software, provides application value in business docking service mode for service computing and cloud computing, and SaaS-level monitoring and repair method. |
Year | Venue | Keywords |
---|---|---|
2014 | INTELLIGENT COMPUTING METHODOLOGIES | Fault-tolerant control, Fault diagnosis, Business docking service composition flow, Services choreography and orchestration |
Field | DocType | Volume |
Services computing,Computer science,Loose coupling,Inference,Choreography,Software,Fault tolerance,Orchestration (computing),Embedded system,Cloud computing | Conference | 8589 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.34 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianhua Han | 1 | 1 | 0.34 |
Silu He | 2 | 1 | 0.34 |
Hengxin Li | 3 | 1 | 0.34 |
Jianping Huang | 4 | 30 | 5.34 |