Grid Computing started as a generalization of Cluster Computing, promising to deliver unprecedent levels of parallelism to high–performance applications by crossing administrative boundaries. Subsequently, this vision evolved to support on–demand access and composition of any computational service, provided by multiple independent sources. Under this new vision, Clusters gained renewed importance as the ″super–servers″ of the emerging Grid infrastructure. Meanwhile, the use of computational and data resources in high–performance applications, undertaken over Grid infrastructure, have started to now become a reality. Today we face the huge challenge of making on–demand access to any computational service, the ″computing as service″ vision, a wide–spread reality. The CCGrid Symposia have been part of this journey, bringing together researchers and practitioners and enabling them to share their insight, results, and experience in the multi–faceted areas of Grid and Cluster computing.<br><b>Keywords:</b> • Grid Economies and Service Architectures<br>• Grid Architectures and Systems<br>• Utility Computing Models for Clusters and Grids<br>• Middleware for Clusters and Grids<br>• Programming Models, Tools, and Environments<br>• Resource Management<br>• Performance Evaluation and Modeling<br>• Peer–to–Peer Systems<br>• Grid–based Problem Solving Environments<br>• Grid Trust and Security<br>• Service Composition and Orchestration<br>• Community networks<br>• Community and collaborative computing networks<br>• Scheduling and Load Balancing<br>• Scientific, Engineering, and Commercial Applications<br>• Parallel and Wide–Area File Systems<br>• Support for Self–Managing/Self–Configuring Grid Infrastructure<br>
Abbrevation
CCGrid
City
Rio de Janeiro
Country
Brazil
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