Title
Impact FD: An Unreliable Failure Detector Based on Process Relevance and Confidence in the System.
Abstract
This paper presents a new unreliable failure detector, called the Impact failure detector (FD), that, contrarily to the majority of traditional FDs, outputs a trust level value which expresses the degree of confidence in the system. An impact factor is assigned to each process and the trust level is equal to the sum of the impact factors of the processes not suspected of failure. Moreover, a threshold parameter defines a lower bound value for the trust level, over which the confidence in the system is ensured. In particular, we defined a flexibility property that denotes the capacity of the Impact FD to tolerate a certain margin of failures or false suspicions, i.e. its capacity of considering different sets of responses that lead the system to trusted states. The Impact FD is suitable for systems that present node redundancy, heterogeneity of nodes, clustering feature and allow a margin of failures which does not degrade the confidence in the system. The paper also includes a timer-based distributed algorithm which implements an Impact FD, as well as its proof of correctness, for systems whose links are lossy asynchronous or for those whose all (or some) links are eventually timely. Performance evaluation results, based on PlanetLab (Planetlab. http://www.planet-lab.org. 'Online. Access date: 16 September 2016') traces, confirm the degree of flexible applicability of our FD and that, due to the accepted margin of failure, both failures and false suspicions are more tolerated when compared to traditional unreliable FDs.
Year
DOI
Venue
2018
10.1093/comjnl/bxy041
COMPUTER JOURNAL
Keywords
Field
DocType
fault tolerance,unreliable failure detector,impact factor,trust level of the system,process relevance,margin of failures
Asynchronous communication,PlanetLab,Upper and lower bounds,Computer science,Correctness,Distributed algorithm,Fault tolerance,Redundancy (engineering),Detector,Reliability engineering
Journal
Volume
Issue
ISSN
61
10
0010-4620
Citations 
PageRank 
References 
0
0.34
9
Authors
4
Name
Order
Citations
PageRank
Anubis G. M. Rossetto144.57
Cláudio F. R. Geyer211423.10
Luciana Arantes322037.48
Pierre Sens452651.65