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Peer-to-peer systems are highly dynamic systems, with permanent changes in their configurations, as peers may join and leave the system with no restriction or control. This makes monitoring an important element for several applications, especially for fault management: fault detection and fault recovery. As the system may have a large number of nodes, we need a scalable algorithm, able to guarantee...
High availability is a desired feature of a dependable distributed system. Replication is a well-known technique to achieve fault tolerance in distributed systems, thereby enhancing availability. We propose an approach relying on replication techniques and based on monitoring information to be applied in distributed systems for fault tolerance. Our approach uses both active and passive strategies...
This paper's goal is to design an intrusion detection system for a distributed environment adapted for developing and monitoring agents. The idea is to endow the agent platform with a high level of immunity by integrating the intrusion detection system based on artificial intelligence techniques. The agent platform itself is improved with advanced mechanisms for monitoring, analyzing, discovering,...
This paper presents the design, implementation and testing of the monitoring solution created for integration with a workflow execution platform. The monitoring solution constantly checks the system evolution in order to facilitate performance tuning and improvement. Monitoring is accomplished at application level, by monitoring each job from each workflow and at system level, by aggregating state...
This paper presents DyAG, an innovative solution for dynamic allocation of resources for services workflows in Grid enviroments. The proposed solution is responsible with the efficient mapping of the services which make up a Business Process Execution Language workflow onto resources, represented by Web Services, from the Grid enviroment. The presented solution is part of a framework that aims to...
The execution of applications in dependable system requires a high level of instrumentation for automatic control. We present in this paper a monitoring solution for complex application execution. The monitoring solution is dynamic, offering real-time information about systems and applications. The complex applications are described using workflows. We show that the management process for application...
The Scheduling process in Large Scale Distributed System (LSDS) became more important due of increases of users and applications. This paper presents a dynamic meta-scheduling architecture model for LSDS based on monitoring. Dynamic scheduling process tries to perform task allocation on the fly as the application executes. The monitoring is important in this process because can offer a full view of...
The use of discrete-event simulators in the design and development of distributed systems is appealing due to their efficiency and scalability. Their core abstractions of process and event map neatly to the components and interactions of modern-day distributed systems and allow designing realistic simulation scenarios. MONARC, a multi-threaded, process oriented simulation framework designed for modeling...
The paper presents the communication model for decentralized meta-scheduler in grid environments. The proposed model is a distributed, fault-tolerant, adaptive and efficient one. It is designed as an agents platform for grid scheduling algorithms, which denote the decentralized architecture of this model. The platform contains two type of agents: one for resource management (broker), and the other...
This paper presents a high level architectural specification of MedioGRID, a research project aiming at implementing a real-time satellite image processing system for extracting relevant environmental and meteorological parameters on a grid system. The presentation focuses on the key architectural decisions of the GRID-aware satellite image processing system, highlighting the technologies for each...
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