title: A Weibull distribution accrual failure detector for cloud computing.
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.
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China.
authors.forename: Jiaxi
authors.identifier: http://orcid.org/0000-0001-9629-4178
authors.initials: J
authors.lastname: Liu
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China.
authors.forename: Zhibo
authors.initials: Z
authors.lastname: Wu
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Wu
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China.
authors.forename: Jian
authors.identifier: http://orcid.org/0000-0003-3902-2162
authors.initials: J
authors.lastname: Dong
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China.
authors.forename: Yao
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China.
authors.forename: Dongxin
authors.initials: D
authors.lastname: Wen
mesh_terms: D000465:Algorithms; D000067917:Cloud Computing / Q000592:standards*; D006801:Humans; D016247:Information Storage and Retrieval / Q000592:standards*; D012984:Software; D016008:Statistical Distributions