Title :
Adaptive failure detector A-FD
Author :
Wang Xiaohui ; Zhang Yan
Author_Institution :
Sch. of Inf. Technol., Henan Univ. of TCM, Zhengzhou, China
Abstract :
Failures detection is a fundamental issue for fault tolerance in distributed system. In order to increase the adaptive capacity, the failure detectors dynamically adjust the detecting quality according to the variations of network. In this paper, a new failure detection model is proposed, which adopts heartbeat detection strategy based on PULL mode. The experiment shows that the adaptive-algorithm has the ability to decrease the average detection time and reduce the impact of the network delay to some extent.
Keywords :
distributed processing; program diagnostics; software fault tolerance; PULL mode; adaptive capacity; adaptive failure detector; adaptive-algorithm; average detection time; detecting quality; distributed system; failures detection; fault tolerance; heartbeat detection strategy; network delay; network variations; Accuracy; Computer crashes; Delays; Detectors; Heart beat; Quality of service; QoS; adaptive; distributed system; failure detection;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International
Print_ISBN :
978-1-4799-4420-0
DOI :
10.1109/ITAIC.2014.7065091