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Available from: Mohamed Fayad, Nov 26, 2014
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    ABSTRACT: With the increasing complexity of large scale distributed (LSD) systems, an efficient monitoring mechanism has become an essential service for improving the performance and reliability of such complex applications. The paper presents a scalable, dynamic, flexible and nonintrusive monitoring architecture for managing large scale distributed (LSD) systems. This architecture, which is referred to as the HiFi monitoring system, detects and classifies interesting primitive and composite events and performs either a corrective or steering action. When appropriate, information is also disseminated to management applications, such as reactive control tools. The outlined solution offers improvements over related works by supporting new monitoring techniques such as hierarchical filtering based monitoring and filter incarnation that improve the monitoring scalability and dynamism which are required for managing large scale distributed systems. The HiFi monitoring system has been implemented and used at the Old Dominion University for monitoring and steering Interactive Remote Instruction (IRI) which is a large scale distributed multimedia system for distance learning
    Distributed Computing Systems, 1999. Proceedings. 19th IEEE International Conference on; 02/1999
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    ABSTRACT: With the increasing complexity of large-scale distributed (LSD) systems, an efficient monitoring mechanism has become an essential service for improving the performance and reliability of such complex applications. This paper presents a scalable, dynamic, flexible and nonintrusive monitoring architecture for managing large-scale distributed (LSD) systems. This architecture, which is referred to as the HiFi monitoring system, detects and classifies interesting primitive and composite events and performs either a corrective or steering action. When appropriate, information is also disseminated to management applications, such reactive control tools. The outlined solution offers improvements over related works by supporting new monitoring techniques such as hierarchical filtering-based monitoring and filter incarnation that improve the monitoring scalability and dynamism which are required for managing large-scale distributed systems. The HiFi monitoring system has been implemented and u...
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    ABSTRACT: . The successful deployment of next-generation distributed systems is significantly dependent on the efficient management support that improves the performance and reliability of these applications at runtime. This paper motivates and describes a programmable agents approach for active monitoring as an important attribute for supporting scalable, highly-responsive and non-intrusive management architecture. Active monitoring enables defining re-configurable and self-directed management tasks that can be modified automatically at run-time in order to track the system behavior. Based on observed events and users' monitoring demands, monitoring agents can dynamically customize their assigned tasks and initiate the appropriate monitoring actions. This avoids activating unnecessary monitoring tasks and provides a dynamic monitoring operations. The presented system, which is referred to as HiFi, supports a comprehensive environment including code instrumentation, user subscripti...
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