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This seminar by Prakash Saladi, guided by Prof. Scott Spetka, presents a novel system designed to enhance reliability in grid computing through effective fault recovery and optimal task scheduling. The proposed system leverages a Remote Node Fault Recovery (RNFR) mechanism, enabling seamless migration of state information from failed nodes to functional ones. By dynamically rescheduling tasks and resuming subtasks from their interrupted points, the system ensures minimal disruptions. Key modules include user and resource management, task scheduling, fault handling, and output validation, catering to diverse grid user needs.
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Grid Service Reliability Modelling and Optimal TaskScheduling Considering Fault Recovery Seminar by:Prakash Saladi Guided by: PROF. Scott Spetka
PROPOSED SYSTEM • The basic approach of fault recovery in grid systems is a Remote Node Fault Recovery (RNFR) mechanism. • when a failure occurs on a node, the state information can be migrated to another node, and the failed subtask execution is resumed from the interrupted point, or the failed subtask can be dynamically rescheduled on another node, and the node restarts the subtask from the beginning.
MODULES • The Application is split into below modules: • USERS • RESOURCE • GRID
Users: -- Connect to Grid -- Send request to grid -- Get response from Grid Resource: -- Accept request from Grid -- Process and send output to Grid
Grid: -- Maintain Users/Nodes -- Take Request from User -- Schedule task to Resource -- Accept the output from Resource -- Validate the output -- Reschedule the task (if output is invalid) -- Intimate the Grid Manager for Fault Generated -- Send output to User (if valid) -- Handle Network Failure and intimate the Grid
Software Requirements: OS : Any Graphical OS Language : JAVA Version : JDK 1.6 Database : Ms-Access
Hardware Requirements: RAM : 1 Gb Network type : LAN Hard Disk : 20 GB