DocumentCode
2253858
Title
On the quality of service of failure detectors
Author
Chen, Wei ; Toueg, Sam ; Aguilera, Marcos Kawazoe
Author_Institution
Oracle Corp., Nashua, NH, USA
fYear
2000
fDate
2000
Firstpage
191
Lastpage
200
Abstract
Studies the quality of service (QoS) of failure detectors. By QoS, we mean a specification that quantifies (a) how fast the failure detector detects actual failures, and (b) how well it avoids false detections. We first propose a set of QoS metrics to specify failure detectors for systems with probabilistic behaviors, i.e. for systems where message delays and message losses follow some probability distributions. We then give a new failure detector algorithm and analyze its QoS in terms of the proposed metrics. We show that, among a large class of failure detectors, the new algorithm is optimal with respect to some of these QoS metrics. Given a set of failure detector QoS requirements, we show how to compute the parameters of our algorithm so that it satisfies these requirements, and we show how this can be done even if the probabilistic behavior of the system is not known. Finally, we briefly explain how to make our failure detector adaptive, so that it automatically reconfigures itself when there is a change in the probabilistic behavior of the network
Keywords
adaptive systems; delays; failure analysis; fault tolerance; formal specification; losses; probability; quality of service; QoS metrics; adaptive detector; automatic reconfiguration; failure detection speed; failure detectors; false detections; message delays; message losses; optimal algorithm; parameter computation; probabilistic behaviour; probability distributions; service quality; specification; Algorithm design and analysis; Computer crashes; Computer science; Delay; Detectors; Failure analysis; Operating systems; Protocols; Quality of service; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable Systems and Networks, 2000. DSN 2000. Proceedings International Conference on
Conference_Location
New York, NY
Print_ISBN
0-7695-0707-7
Type
conf
DOI
10.1109/ICDSN.2000.857535
Filename
857535
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