NDLI: Monitoring Local Progress with Watchdog Timers Deduced from Global Properties

Content Provider	IEEE Xplore Digital Library
Author	Barbosa, R.
Copyright Year	2010
Abstract	Distributed systems are used in numerous applications where failures can be costly. Due to concerns that some of the nodes may become faulty, critical services are usually replicated across several nodes, which execute distributed algorithms to ensure correct service in spite of failures. To prevent replica-exhaustion, it is fundamental to detect errors and trigger appropriate recovery actions. In particular, it is important to detect situations in which nodes cease to execute the intended algorithm, e.g., when a replica is compromised by an attacker or when a hardware fault causes the node to behave erratically. This paper proposes a method for monitoring the local execution of nodes using watchdog timers. The approach consists in deducing, from the global system properties, local states that must be visited periodically by nodes that execute the intended algorithm correctly. When a node fails to trigger a watchdog before the time limit, an appropriate response can be initiated. The approach is applied to a well-known Byzantine consensus algorithm. The algorithm is modeled in the Promela language and the Spin model checker is used to identify local states that must be visited periodically by correct nodes. Such states are suitable for online monitoring using watchdog timers.
Starting Page	131
Ending Page	140
File Size	480438
Page Count	10
File Format	PDF
ISBN	9780769542508
ISSN	10609857
DOI	10.1109/SRDS.2010.23
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-31
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Monitoring Timing Lead Computational modeling Process control Fault tolerance model checking distributed systems online monitoring watchdogs fault tolerance intrusion tolerance
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Networks and Communications Software Hardware and Architecture

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