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Books > Computing & IT > Computer communications & networking
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Grid Computing - Techniques & Future Prospects (Hardcover)
Loot Price: R5,881
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Grid Computing - Techniques & Future Prospects (Hardcover)
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In the past two decades, grid computing have fostered advances in
several scientific domains by making resources available to a wide
community and bridging scientific gaps. Grid infrastructures have
been harnessing computational resources all around the world
allowing all kinds of parallelisms to be explored. Other approaches
to parallel and distributed computing still exist like the use of
dedicated high-performance (HPC) infrastructures, and the use of
clouds for computing and storage, but grid computing continues to
be the predominant technology used for scientific computing in
Europe, through the European Grid Infrastructure (EGI) and the
European Middleware Initiative (EMI). Currently, there is a trend
towards the use of cloud technologies for computing and storage. In
Europe, this trend is being followed by taking advantage of all the
experiences gained from building grid infrastructures and the
technologies developed around them (resource management
orchestration, unified job description languages, security, user
interfaces, programming models, and scheduling policies, among
others). As a result, the European Grid Infrastructure Federated
Cloud is being built on top of the grid infrastructure already
available. After almost two decades of the development of grid
software and components and the emergence of competing
technologies, now is the time to discuss current trends and to
assess future prospects. When organising this book, the authors
considered contributions that would review the current grid
computing scenario as well as contributions that would summarise
the main tools and technologies used so far. The chapters in this
book provide reviews for the following topics: a) performance
prediction for parallel and distributed computing systems, b)
resource sharing on computational grids, c) economic models for
resource management, and d) programming frameworks. The chapters
address grid issues such as a) the challenges of designing
efficient job schedulers for production grids, b) scalability
analysis of bag-of-tasks applications, c) the energy efficiency of
resource reservation-based scheduling, and d) the development of
parallel applications using the grid environment. Additionally, the
following tools are presented: a) a programming framework based on
the concept of a pluggable grid service that avoids explicit calls
to grid services in scientific code and b) a desktop grid framework
that runs on top of a cloud and can be deployed on the fly. The
authors were each invited to contribute a chapter to this book,
which were carefully revised and selected based on their
originality and the value of their contribution to the overall
discussion on grid computing and its future prospects.
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