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Creating scientific workflow applications is a very challenging task due to the complexity of the distributed computing environments involved, the complex control and data flow requirements of scientific applications, and the lack of high-level languages and tools support. Particularly, sophisticated expertise in distributed computing is commonly required to determine the software entities to perform computations of workflow tasks, the computers on which workflow tasks are to be executed, the actual execution order of workflow tasks, and the data transfer between them. Qin and Fahringer present a novel workflow language called Abstract Workflow Description Language (AWDL) and the corresponding standards-based, knowledge-enabled tool support, which simplifies the development of scientific workflow applications. AWDL is an XML-based language for describing scientific workflow applications at a high level of abstraction. It is designed in a way that allows users to concentrate on specifying such workflow applications without dealing with either the complexity of distributed computing environments or any specific implementation technology. This research monograph is organized into five parts: overview, programming, optimization, synthesis, and conclusion, and is complemented by an appendix and an extensive reference list. The topics covered in this book will be of interest to both computer science researchers (e.g. in distributed programming, grid computing, or large-scale scientific applications) and domain scientists who need to apply workflow technologies in their work, as well as engineers who want to develop distributed and high-throughput workflow applications, languages and tools.
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Grid computing has become a topic of significant interest in the scientific community as a means of enabling application developers to aggregate resources scattered around the globe for solving large-scale scientific problems. This monograph addresses four critical software development aspects for the engineering and execution of applications on parallel and Grid architectures. A new directive-based language called ZEN is proposed for compact specification of wide value ranges of interest for arbitrary application parameters, including problem or machine sizes, array or loop distributions, software libraries, interconnection networks, or target execution machines. Based on the ZEN language, a novel experiment management tool called ZENTURIO is developed for automatic experiment management of large-scale performance and parameter studies on parallel and Grid architectures. This tool has been validated with respect to functionality and usefulness on several real-world parallel applications from various domains, including theoretical chemistry, photonics, finances, and numerical mathematics. Depending on the ZENTURIO experiment management architecture a generic optimization framework is built up that integrates general-purpose meta-heuristics for solving NP-complete performance and parameter optimization problems in an exponential search space specified using the ZEN experiment specification language. Finally a timely approach is proposed for modeling and executing scientific workflows in dynamic and heterogeneous Grid environments, introducing an abstract formal model for hierarchical representation of complex directed graph-based workflows. Thus this monograph contributes to various research areas related to integrated tool development for efficient engineering and high performance execution of scientific applications in Grid environments.
Computer science --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- programmeren (informatica) --- informatiesystemen --- software engineering --- OS (operating system) --- computernetwerken
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The sixth Austrian-Hungarian Workshop on Distributed and Parallel Systems is organized jointly by the University of Innsbruck, and the MTA SZTAKI Computer and Automation Research Institutute (DAPSYS 2006). Distributed and Parallel Systems: From Cluster to Grid Computing is mainly devoted to general algorithmic aspects of parallel and distributed computing and grid computing. This book includes a good overview of recent advances in various aspects of parallel and distributed computing. Distributed and Parallel Systems: From Cluster to Grid Computing brings together contributed chapters by world class leaders in this field. This volume also includes various crucial questions tied to the infrastructure and advanced problems and challenges of grid computing. Distributed and Parallel Systems: From Cluster to Grid Computing is designed for practitioners and researchers in industry. This book is also suitable for graduate-level students in computer science and engineering.
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This volume constitutes the refereed proceedings of the 5th International Workshop on Grid Economics and Business Models, GECON 2008, held in Las Palmas de Gran Canaria, Spain, August 2008. The 10 full papers included in this volume were carefully selected from 27 submission. They aim at presenting current results and innovative research in the area of grid economics. The papers are organized in topical sections on grid business modeling, market mechanisms for the grid, grid markets, and grid architectures. The proceedings are rounded off by 9 project reports that give an overview of the current and ongoing research in grid economics.
Office management --- Distribution strategy --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- IR (information retrieval) --- informatica --- bedrijfsadministratie --- e-commerce --- computernetwerken
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