Grid research

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  • Service Oriented Architecture is an Application Architecture that is designed to achieve loose coupling among interacting software applications. SOA provides greater flexibility in developing, integrating, and managing Enterprise Applications.Grid research, rooted in distributed and high performance computing, started in midto- late 1990s when scientists around the world acknowledged the need to establish an infrastructure to support their collaborative research on compute and data...

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  • Grid research, rooted in distributed and high performance computing, started in midto- late 1990s when scientists around the world acknowledged the need to establish an infrastructure to support their collaborative research on compute and data intensive experiments. Soon afterwards, national and international research and development authorities realized the importance of the Grid and gave it a primary position on their research and development agenda.

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  • This book series was started in 1990 to promote research conducted under the auspices of the EC programmes’ Advanced Informatics in Medicine (AIM) and Biomedical and Health Research (BHR) bioengineering branch. A driving aspect of international health informatics is that telecommunication technology, rehabilitative technology, intelligent home technology and many other components are moving together and form one integrated world of information and communication media. The complete series has been accepted in Medline. Volumes from 2005 onwards are available online....

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  • The Grid is the computing and data management infrastructure that will provide the electronic underpinning for a global society in business, government, research, science and entertainment [1–5]. Grids, illustrated in Figure 1.1, integrate networking, communication, computation and information to provide a virtual platform for computation and data management in the same way that the Internet integrates resources to form a virtual platform for information.

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  • Grid Networks describes the convergence of advanced networking technologies and Grid technologies, with special focus on their symbiotic relationship and the resulting new opportunities. Grid technology is applicable to many implementations, Computational Grids, Data Grids, Service Grids, and Instrumentation Grids. The authors cover a breadth of topics including recent research, featuring both theoretical concepts and empirical results. Beginning with an overview of Grid technologies, an analysis of distinguishing use cases and architectural attributes, and emerging standards.

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  • Computational biology is undergoing a revolution from a traditionally compute-intensive science conducted by individuals and small research groups to a high-throughput, datadriven science conducted by teams working in both academia and industry. It is this new biology as a data-driven science in the era of Grid Computing that is the subject of this chapter.

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  • The emergence of Grid computing as the prototype of a next-generation cyber infrastructure for science has excited high expectations for its potential as an accelerator of discovery, but it has also raised questions about whether and how the broad population of research professionals, who must be the foundation of such productivity, can be motivated to adopt this new and more complex way of working.

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  • DAPSYS (Austrian-Hungarian Workshop on Distributed and Parallel Systems) is an international conference series with biannual events dedicated to all aspects of distributed and parallel computing. DAPSYS started under a different name in 1992 (Sopron, Hungary) as a regional meeting of Austrian and Hungarian researchers focusing on transputer-related parallel computing; a hot research topic of that time. A second workshop followed in 1994 (Budapest, Hungary).

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  • Computational Grids [1] have emerged as a distributed computing infrastructure for providing pervasive, ubiquitous access to a diverse set of resources ranging from highperformance computers (HPC), tertiary storage systems, large-scale visualization systems, expensive and unique instruments including telescopes and accelerators. One of the primary motivations for building Grids is to enable large-scale scientific research projects to better utilize distributed, heterogeneous resources to solve a particular problem or set of problems....

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  • There are many issues that should be considered in examining the implications of the imminent flood of data that will be generated both by the present and by the next generation of global ‘e-Science’ experiments. The term e-Science is used to represent the increasingly global collaborations – of people and of shared resources – that will be needed to solve the new problems of science and engineering [1]. These e-Science problems range from the simulation of whole engineering or biological systems, to research in bioinformatics, proteomics and pharmacogenetics.

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  • The aim of CoreGRID is to strengthen and advance scientific and technological excellence in the area of Grid and Peer-to-Peer technologies in order to overcome the current fragmentation and duplication of effort in this area. To achieve this objective, the workshop brought together a critical mass of well-established researchers from a number of institutions which have all constructed an ambitious joint program of activities.

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  • Scientific research and development has always involved large numbers of people, with different types and levels of expertise, working in a variety of roles, both separately and together, making use of and extending the body of knowledge. In recent years, however, there have been a number of important changes in the nature and the process of research.

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  • Over the past few years, various international groups have initiated research in the area of parallel and distributed computing in order to provide scientists with new programming methodologies that are required by state-of-the-art scientific application domains. These methodologies target collaborative, multidisciplinary, interactive, and large-scale applications that access a variety of high-end resources shared with others.

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  • A collaboratory is defined as a place where scientists and researchers work together to solve complex interdisciplinary problems, despite geographic and organizational boundaries [1]. The growth of the Internet and the advent of the computational ‘Grid’ [2, 3] have made it possible to develop and deploy advanced computational collaboratories [4, 5] that provide uniform (collaborative) access to computational resources, services, applications and/or data. These systems expand the resources available to researchers, enable ...

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  • Most, if not all, Computational Grid resource allocation and scheduling research espouses one of two paradigms: centralized omnipotent resource control [1–4] or localized application control [5–8]. The first is not a scalable solution either in terms of execution efficiency (the resource broker or scheduler becomes a bottleneck) or fault resilience (the allocation mechanism is a single point of failure). On the other hand, the second approach can lead to unstable resource assignments as ‘Grid-aware’ applications adapt to compete for resources....

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  • Grid computing architecture was defined to be a complete physical layer. Based on the grid computing architecture, we divided grid nodes into supervisor grid node and execute grid nod. The data transfer in network must be in secure. In this study, we propose the encryption and decryption algorithm in each grid node to keep information processing in security. We create user information database both in supervisor and execute grid nodes. We use them to verify user processing in system.

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  • The term “ smart grid” defi nes a self - healing network equipped with dynamic optimization techniques that use real - time measurements to minimize network losses, maintain voltage levels, increase reliability, and improve asset management. The operational data collected by the smart grid and its sub - systems will allow system operators to rapidly identify the best strategy to secure against attacks, vulnerability, and so on, caused by various contingencies.

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  • The research is designed for developing the pilot small-scale clean development mechanism bundled project activities in Vietnam electricity/ energy sector. Its overall purpose is to assess the potential of rice husk - fuelled bio-power development projects in Mekong delta.

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  • At this point in our industry’s evolution, it’s important to have government involvement. Incumbent technologies, such as internal combustion engines for transportation and the electrical power grid, have a huge head start and, in many cases, the rules of the game are written to support their continuation. Our society is comfortable with these technologies and has depended on them for many generations. Because we are not yet producing products at high volume, we are often faced with an initial cost disadvantage compared to traditional, less sustainable power generation methods.

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  • Bioinformatics is at a crossroads. We work in a field that is changing every day, increasingly moving from specific solutions created by single researchers working alone or in small groups to larger, often geographically dispersed programs enabled by collaborative computing and open software. This book represents an important development, giving the reader an opportunity to discover how the use of open and reusable Java code can solve large bioinformatics problems in a software engineered and robust way.

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