Yemanja - A Layered Fault Localization System for Multi-Domain Computing Utilities

被引：14

作者：

Appleby K. ^{[1
]}

Goldszmidt G. ^{[1
]}

Steinder M. ^{[2
]}

机构：

[1] IBM T.J. Watson Research Center, Hawthorne, NY 10532

[2] Computer and Information Sciences, University of Delaware, Newark

来源：

Journal of Network and Systems Management | 2002年 / 10卷 / 02期

关键词：

Event correlation; Fault and performance management; Problem determination; Service level agreements;

D O I：

10.1023/A:1015954732370

中图分类号：

学科分类号：

摘要：

Yemanja is a model-based event correlation engine for multi-layer fault diagnosis. It targets complex propagating fault scenarios, and can smoothly correlate low-level network events with high-level application performance alerts related to quality-of-service violations. Entity-models that represent devices or abstract components encapsulate their behavior. Distantly associated entity-models are not explicitly aware of each other, and communicate through internal event chains. Yemanja's state-based engine supports generic scenario definitions, prioritization of alternate solutions, integrated problem and device testing, and simultaneous analysis of overlapping problems. The system of correlation rules was developed based on the analysis of device and layer functions, and the dependencies among physical and abstract system components. The primary objectives of this research include the development of reusable, configuration independent, correlation scenarios, adaptability and extensibility of the engine to match the constantly changing topology of a multi-domain server farm, and development of a concise specification language that is relatively simple yet powerful.

引用

页码：171 / 194

页数：23

共 31 条

[21] Nygate Y.A., Event correlation using rule and object based techniques, Integrated Network Management IV, pp. 278-289, (1995)
[22] Jordaan J.F., Paterok M.E., Event correlation in heterogeneous networks using the OSI management framework, Integrated Network Management III, pp. 683-695, (1993)
[23] Lewis L., A case-based reasoning approach to the resolution of faults in communications networks, Integrated Network Management III, pp. 671-681, (1993)
[24] Hasan M., Sugla B., Viswanathan R., A conceptual framework for network management event correlation and filtering systems, Integrated Network Management VI, pp. 233-246, (1999)
[25] Katzela I., Schwartz M., Schemes for fault identification in communication networks, IEEE Transactions on Networking, 3, 6, pp. 733-764, (1995)
[26] Yemini S.A., Kliger S., Mozes E., Yemini Y., Ohsie D., High speed and robust event correlation, IEEE Communications Magazine, 34, 5, pp. 82-90, (1996)
[27] Houck K., Calo S., Finkel A., Towards a practical alarm correlation system, Integrated Network Management IV, pp. 226-237, (1995)
[28] Steinder M., Sethi A.S., Non-deterministic Diagnosis of End-to-End Service Failures in a Multi-layer Communication System, Proceedings of International Conference on Computer Communications and Networks, pp. 374-379, (2001)
[29] TechReport: Distributed Event Management Architecture
[30] SICStus Prolog User's Manual

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