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Efficient Job Management and Resource Optimization in Global Computing Environments

This document explores the intricacies of job handling within a global grid computing framework, detailing key components such as user interface design, job queue management, resource selection, and site data handling. It delves into the functionalities of various services, including SAM (Site and Resource Management), information gathering, and job optimization techniques while facilitating seamless interaction between user tools and backend services. Emphasis is placed on enhancing operational efficiency and data management through advanced XML database interaction and monitoring capabilities.

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Efficient Job Management and Resource Optimization in Global Computing Environments

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  1. data meta-data job Flow of: User Interface User Interface User Interface User Interface Submission Submission Global Job Queue Resource Selector Match Making Global DH Services Grid Client Info Gatherer SAM Naming Server Info Manager Info Collector SAM Log Server Resource Optimizer Site Data Handling Local Job Handling XML DB server Cluster Site Conf. Grid Gateway SAM Station (+other servs) Glob/Loc JID map ... Local Job Handler (CAF, D0MC, BS, ...) SAM DB Server Web Serv SAM Stager(s) MDS JIM Advertise RC MetaData Catalog Grid Monitoring Info Providers Worker Nodes Bookkeeping Service Cache MSS User Tools Dist.FS AAA Site Site Site Service Logistics

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