Abstract
Failure detectors are used to build high availability distributed systems as the fundamental component. To meet the requirement of a complicated large-scale distributed system, accrual failure detectors that can adapt to multiple applications have been studied extensively. However, several implementations of accrual failure detectors do not adapt well to the cloud service environment. To solve this problem, a new accrual failure detector based on Weibull Distribution, called the Weibull Distribution Failure Detector, has been proposed specifically for cloud computing. It can adapt to the dynamic and unexpected network conditions in cloud computing. The performance of the Weibull Distribution Failure Detector is evaluated and compared based on public classical experiment data and cloud computing experiment data. The results show that the Weibull Distribution Failure Detector has better performance in terms of speed and accuracy in unstable scenarios, especially in cloud computing.
Highlights
Cloud computing has become a new computing model that provides elastic, on-demand and robust services [1]
The failure detector (FD) adapts to the various network conditions
The results show that the Weibull distribution is a more reasonable distribution assumption for heartbeat inter-arrival time in cloud computing
Summary
Data Availability Statement: All data files are available from the https://figshare.com/s/ 5297ddc238766def6afc and supporting information file. Jian Dong is responsible for organizing and implementing the project 61100029, while Dongxin Wen is responsible for organizing and implementing the project 61370087
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