A Service Failure Recovery Framework Supporting Context Persistence

被引：0
作者：
Lan, MingJing [1 ]
An, LiuYang [1 ]
Huang, YongZhong [1 ]
机构：
[1] Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou, Peoples R China
来源：
2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2 | 2012年
关键词：
Service; Grid computing; Failure recovery; Context; Persistence;
D O I：
10.1109/ISCID.2012.188
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to process service failure quickly, a new failure recovery for service supporting context persistence named G-FRF is given, which is based on the existing failure recovery frameworks for Web Services. Failure recovery requirements of manager job services in grid computing are taken into account in the framework. During normal execution, service state is monitored and context is saved. When service failure occurs, the framework takes advantage of the persistent context to realize rapid recovery of service. The experiments show that G-FRF has a high recovery success rate and lower recovery time, and can be able to better handle the failure of job managed services.
引用
收藏
页码：142 / 146
页数：5
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