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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khanna, G. Mike Yu Cheng Varadharajan, P. Bagchi, S. Correia, M.P. Verissimo, P.J. |
| Copyright Year | 2004 |
| Abstract | In today's world, where distributed systems form many of our critical infrastructures, dependability outages are becoming increasingly common. In many situations, it is necessary to not only detect a failure but also to diagnose the failure, that is, to identify the source of the failure. Diagnosis is challenging, since high-throughput applications with frequent interactions between the different components allow fast error propagation. It is desirable to consider applications as blackboxes for the diagnostic process. In this paper, we propose a Monitor architecture for diagnosing failures in large-scale network protocols. The monitor only observes the message exchanges between the protocol entities (PEs) remotely and does not access the internal protocol state. At runtime, it builds a causal graph between the PEs based on their communication and uses this together with a rule base of allowed state-transition paths to diagnose the failure. The tests used for the diagnosis are based on the rule base and are assumed to have imperfect coverage. The hierarchical monitor framework allows distributed diagnosis handling failures at individual Monitors. The framework is implemented and applied to a reliable multicast protocol executing on our campuswide network. Fault injection experiments are carried out to evaluate the accuracy and latency of the diagnosis. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 266 |
| Ending Page | 279 |
| Page Count | 14 |
| File Size | 1305225 |
| File Format | |
| ISSN | 15455971 |
| Volume Number | 4 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computerized monitoring Condition monitoring Access protocols Remote monitoring Large-scale systems Runtime Testing Multicast protocols Delay Fault diagnosis fault injection based evaluation Distributed system diagnosis runtime monitoring hierarchical Monitor system |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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