Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
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SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
NiagaraCQ: a scalable continuous query system for Internet databases
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Journal of Network and Systems Management
Composite Events for Active Databases: Semantics, Contexts and Detection
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Model-Based Alarm Correlation in Cellular Phone Networks
MASCOTS '97 Proceedings of the 5th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
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ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
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CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Data stream management system for MavHome
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Linear road: a stream data management benchmark
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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IEEE Communications Magazine
SnoopIB: interval-based event specification and detection for active databases
Data & Knowledge Engineering
Events and streams: harnessing and unleashing their synergy!
Proceedings of the second international conference on Distributed event-based systems
Seamless event and data stream processing: reconciling windows and consumption modes
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
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Network fault management has been an active research area for a long period of time because of its complexity, and the returns it generates for service providers. However, most fault management systems are currently custom-developed for a particular domain. As communication service providers continuously add greater capabilities and sophistication to their systems in order to meet demands of a growing user population, these systems have to manage a multi-layered network along with its built-in legacy logical processing procedure. Stream processing has been receiving a lot of attention to deal with applications that generate large amounts of data in real-time at varying input rates and to compute functions over multiple streams, such as network fault management. In this paper, we propose an integrated inter-domain network fault management system for such a multi-layered network based on data stream and event processing techniques. We discuss various components in our system and how data stream processing techniques are used to build a flexible system for a sophisticated real-world application. We further identify a number of important issues related to data stream processing during the course of the discussion of our proposed system, which will further extend the boundaries of data stream processing.