NDLI: SWIM: scalable weakly-consistent infection-style process group membership protocol

Content Provider	IEEE Xplore Digital Library
Author	Das, A. Gupta, I. Motivala, A.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA (Das, A.; Gupta, I.; Motivala, A.)
Abstract	Several distributed peer-to-peer applications require weakly-consistent knowledge of process group membership information at all participating processes. SWIM is a generic software module that offers this service for large scale process groups. The SWIM effort is motivated by the unscalability of traditional heart-beating protocols, which either impose network loads that grow quadratically with group size, or compromise response times or false positive frequency w.r.t. detecting process crashes. This paper reports on the design, implementation and performance of the SWIM sub-system on a large cluster of commodity PCs. Unlike traditional heart beating protocols, SWIM separates the failure detection and membership update dissemination functionalities of the membership protocol. Processes are monitored through an efficient peer-to-peer periodic randomized probing protocol. Both the expected time to first detection of each process failure, and the expected message load per member do not vary with group size. Information about membership changes, such as process joins, drop-outs and failures, is propagated via piggybacking on ping messages and acknowledgments. This results in a robust and fast infection style (also epidemic or gossip-style) of dissemination. The rate of false failure detections in the SWIM system is reduced by modifying the protocol to allow group members to suspect a process before declaring it as failed - this allows the system to discover and rectify false failure detections. Finally, the protocol guarantees a deterministic time bound to detect failures. Experimental results from the SWIM prototype are presented. We discuss the extensibility of the design to a WAN-wide scale.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Fault-Tolerant Comput. (TCFTC) IFIP Working Group 10.4 on Dependable Comput. & Fault Tolerence DARPA LAAS-CNRS Univ. Michigan
Starting Page	303
Ending Page	312
File Size	375691
Page Count	10
File Format	PDF
ISBN	0769511015
DOI	10.1109/DSN.2002.1028914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Peer to peer computing Application software Large-scale systems Delay Frequency Computer crashes Personal communication networks Condition monitoring Robustness
Content Type	Text
Resource Type	Article

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