The term "grid computing" is based on an analogy with the electrical power grid: computing capabilities should be ubiquitous and easy to use. While the development of what we now call grid computing is, in many ways, part of a natural progression of work done in the last decade, what's special about it is that all of its enabling technologies are converging at once: (1) a widely - ployed, network infrastructure will connect virtually every device in the world, (2) an interface technology is widely understood and embraced by virtually every segment of science, technology, commerce, and society, and (3) there is a wi- spread, and growing, understanding of the properties, capabilities, and services that are necessary and possible to utilize this infrastructure. Information services and resource brokers will allow the dynamic sharing of resources for applications large and small and enable virtual organizations. These properties, capabilities, and services will be used in different contexts to enable different styles of c- puting such as Internet computing and Peer-to-Peer computing. To facilitate the adoption of standard practices, the Global Grid Forum (www. gridforum. org) was formed to identify common requirements and push for eventual standardization. The phenomenal growth of grid computing and related topics has created the need for this workshop as a venue to present the latest research. This year's workshop builds on the success of last year's.

The growth of the Internet and the availability of powerful computers and hi- speed networks as low-cost commodity components are changing the way we do computing. These new technologies have enabled the clustering of a wide variety of geographically distributed resources, such as supercomputers, storage systems, data sources, and special devices and services, which can then be used as a uni?ed resource. Furthermore, they have enabled seamless access to and interaction among these distributed resources, services, applications, and data. The new paradigm that has evolved is popularly termed “Grid computing”. Grid computing and the utilization of the global Grid infrastructure have presented signi?cant challenges at all levels, including application development, progr- ming models, systems, infrastructures and services, networking, and security, and have led to the development of a global research community. Grid 2002 is the third in a series of workshops developed to provide a - rum for this growing Grid Computing research community. Grid 2000, the ?rst workshop in the series, was chaired by Rajkumar Buyya and Mark Baker, and was held in conjunction with HiPC 2002 in Bangalore, India. Grid 2001 (Chair: Craig A. Lee) and Grid 2002 were held in conjunction with Supercomputing, the world’s premier meeting for high-performance computing.

Unter "Grid Computing" versteht man die gleichzeitige Nutzung vieler Computer in einem Netzwerk für die Lösung eines einzelnen Problems. Grundsätzliche Aspekte und anwendungsbezogene Details zu diesem Gebiet finden Sie in diesem Band. - Grid Computing ist ein viel versprechender Trend, denn man kann damit (1) vorhandene Computer-Ressourcen kosteneffizient nutzen, (2) Probleme lösen, für die enorme Rechenleistungen erforderlich sind, und (3) Synergieeffekte erzielen, auch im globalen Maßstab - Ansatz ist in Forschung und Industrie (IBM, Sun, HP und andere) zunehmend populär (aktuelles Beispiel: Genomforschung) - Buch deckt Motivationen zur Einführung von Grids ebenso ab wie technologische Grundlagen und ausgewählte Beispiele für moderne Anwendungen

This book constitutes the thoroughly refereed post-proceedings of the First European Across Grids Conference held in Santiago de Compostela, Spain in February 2003. The 39 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers address all current issues in grid computing, in particular grid middleware architectures, tools, resource management, job scheduling, data management, grid-based distant e-learning, stream-oriented database management, data stripping, large-scale grid applications, simulation, visualization, data mining, grid performance analysis, and grid monitoring.

Desktop Grid Computing presents common techniques used in numerous models, algorithms, and tools developed during the last decade to implement desktop grid computing. These techniques enable the solution of many important sub-problems for middleware design, including scheduling, data management, security, load balancing, result certification, and fault tolerance. The book’s first part covers the initial ideas and basic concepts of desktop grid computing. The second part explores challenging current and future problems. Each chapter presents the sub-problems, discusses theoretical and practical issues, offers details about implementation and experiments, and includes references to further reading and notes. One of the first books to give a thorough and up-to-date presentation of this topic, this resource describes various approaches and models as well as recent trends that underline the evolution of desktop grids. It balances the theory of designing desktop grid middleware and architecture with applications and real-world deployment on large-scale platforms.

This book constitutes the refereed proceedings of the European Grid Conference, EGC 2005, held in Amsterdam, The Netherlands in February 2005. Focusing on all aspects of Grid computing and bringing together participants from research and industry, EGC 2005 was a follow-up of the AcrossGrids Conferences held in Santiago de Compostela, Spain (2003) and in Nicosia, Cyprus (2004). The 121 revised papers presented - including the contribution of three invited speakers - were carefully reviewed and selected from over 180 submissions for inclusion in the book and address the following topics: applications, architecture and infrastructure, resource brokers and management, grid services and monitoring, performance, security, workflow, data and information management, and scheduling fault-tolerance and mapping.

Researchers in the ?eld of life sciences rely increasingly on information te- nology to extract and manage relevant knowledge. The complex computational and data management needs of life science research make Grid technologies an attractive support solution. However, many important issues must be addressed before the Life Science Grid becomes commonplace. The 1st International Life Science Grid Workshop (LSGRID 2004) was held in Kanazawa Japan, May 31–June 1, 2004. This workshop focused on life s- ence applications of grid systems especially for bionetwork research and systems biology which require heterogeneous data integration from genome to phenome, mathematical modeling and simulation from molecular to population levels, and high-performance computing including parallel processing, special hardware and grid computing. Fruitful discussions took place through 18 oral presentations, including a keynote address and ?ve invited talks, and 16 poster and demonstration p- sentations in the ?elds of grid infrastructure for life sciences, systems biology, massive data processing, databases and data grids, grid portals and pipelines for functional annotation, parallel and distributed applications, and life science grid projects. The workshop emphasized the practical aspects of grid techno- gies in terms of improving grid-enabled data/information/knowledge sharing, high-performance computing, and collaborative projects. There was agreement among the participants that the advancement of grid technologies for life science research requires further concerted actions and promotion of grid applications. We therefore concluded the workshop with the announcement of LSGRID 2005.

Computational Science is the scienti?c discipline that aims at the development and understanding of new computational methods and techniques to model and simulate complex systems. The area of application includes natural systems – such as biology, envir- mental and geo-sciences, physics, and chemistry – and synthetic systems such as electronics and ?nancial and economic systems. The discipline is a bridge b- ween ‘classical’ computer science – logic, complexity, architecture, algorithms – mathematics, and the use of computers in the aforementioned areas. The relevance for society stems from the numerous challenges that exist in the various science and engineering disciplines, which can be tackled by advances made in this ?eld. For instance new models and methods to study environmental issues like the quality of air, water, and soil, and weather and climate predictions through simulations, as well as the simulation-supported development of cars, airplanes, and medical and transport systems etc. Paraphrasing R. Kenway (R.D. Kenway, Contemporary Physics. 1994): ‘There is an important message to scientists, politicians, and industrialists: in the future science, the best industrial design and manufacture, the greatest medical progress, and the most accurate environmental monitoring and forecasting will be done by countries that most rapidly exploit the full potential ofcomputational science’. Nowadays we have access to high-end computer architectures and a large range of computing environments, mainly as a consequence of the enormous s- mulus from the various international programs on advanced computing, e.g.

This book approaches the grid computing with a perspective on the latest achievements in the field, providing an insight into the current research trends and advances, and presenting a large range of innovative research papers. The topics covered in this book include resource and data management, grid architectures and development, and grid-enabled applications. New ideas employing heuristic methods from swarm intelligence or genetic algorithm and quantum encryption are considered in order to explain two main aspects of grid computing: resource management and data management. The book addresses also some aspects of grid computing that regard architecture and development, and includes a diverse range of applications for grid computing, including possible human grid computing system, simulation of the fusion reaction, ubiquitous healthcare service provisioning and complex water systems.

The first single-source reference covering the state of the art in grid and utility computing economy research This book presents the first integrated, single-source reference on market-oriented grid and utility computing. Divided into four main parts—and with contributions from a panel of experts in the field—it systematically and carefully explores: Foundations—presents the fundamental concepts of market-oriented computing and the issues and challenges in allocating resources in a decentralized computing environment. Business models—covers business models for service providers and brokers supporting different types of distributed applications, as well as business rules-based models for managing virtual organizations and accounting operations and services in grid computing environments. Policies and agreements—introduces policies, agreements, and specifications for the negotiation and establishment of contracts between providers and consumers. It also covers different approaches for resource allocation based on service-level agreements (SLAs) and management of risks associated with SLA violations. Resource allocation and scheduling mechanisms—covers economic models, such as commodity models, reciprocation, auctions, and game theory, and middleware technologies, such as Nimrod/G and Gridbus, for market-oriented grid computing and utility-oriented resource allocation. This book expertly captures the state of the art in the field while also identifying potential research directions and technologies that will facilitate the creation of global commercial grid and utility computing systems. It is an indispensable reference for systems architects, practitioners, developers, new researchers, and graduate students.