DocumentCode :
2256179
Title :
Analysis and optimization of fast failure detection and failover for HA cluster-based systems
Author :
Liu, Yang ; Xu, Jie-bin
Author_Institution :
Dept. of Comput., South China Univ. of Technol., Guangzhou, China
Volume :
1
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
408
Lastpage :
412
Abstract :
With the rapid development of network technology and the increasing expansion of its size, there are more and more services need to be provided by network, so modern users have an increasing demand for making servers that operate and provide these services highly available. Obviously, stand-alone system is unappeasable, we must use the cluster as the server that operate those services especially the important ones. At present, the major work-styles to improve HA (High Availability) are Hot Standby and Dual Active which can basically satisfy the demands of SMEs. But for the others like large servers what could provide many crucial services like Mail Service and database service, neither can well satisfy the demands, because a single minor failure may lead to many major losses in this case. A fast failure detection and failover HA system has been proposed, the system here is multi-active. The scheme that will design could find an optimum member to take over the broken-down services in the shortest time.
Keywords :
Web services; database management systems; optimisation; pattern clustering; HA cluster-based systems; SME; database service; fast failure detection; mail service; stand-alone system; Availability; Central Processing Unit; Databases; IP networks; Machine learning; Servers; Throughput; Cluster; Failover; HA; Multiple active; Take over;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5581029
Filename :
5581029
Link To Document :
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