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Books > Computing & IT > Computer communications & networking
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Modeling and Simulation in HPC and Cloud Systems (Hardcover, 1st ed. 2018)
Loot Price: R1,414
Discovery Miles 14 140
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Modeling and Simulation in HPC and Cloud Systems (Hardcover, 1st ed. 2018)
Series: Studies in Big Data, 36
Expected to ship within 18 - 22 working days
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This book consists of eight chapters, five of which provide a
summary of the tutorials and workshops organised as part of the
cHiPSet Summer School: High-Performance Modelling and Simulation
for Big Data Applications Cost Action on "New Trends in Modelling
and Simulation in HPC Systems," which was held in Bucharest
(Romania) on September 21-23, 2016. As such it offers a solid
foundation for the development of new-generation data-intensive
intelligent systems. Modelling and simulation (MS) in the big data
era is widely considered the essential tool in science and
engineering to substantiate the prediction and analysis of complex
systems and natural phenomena. MS offers suitable abstractions to
manage the complexity of analysing big data in various scientific
and engineering domains. Unfortunately, big data problems are not
always easily amenable to efficient MS over HPC (high performance
computing). Further, MS communities may lack the detailed expertise
required to exploit the full potential of HPC solutions, and HPC
architects may not be fully aware of specific MS requirements. The
main goal of the Summer School was to improve the participants'
practical skills and knowledge of the novel HPC-driven models and
technologies for big data applications. The trainers, who are also
the authors of this book, explained how to design, construct, and
utilise the complex MS tools that capture many of the HPC modelling
needs, from scalability to fault tolerance and beyond. In the final
three chapters, the book presents the first outcomes of the school:
new ideas and novel results of the research on security aspects in
clouds, first prototypes of the complex virtual models of data in
big data streams and a data-intensive computing framework for
opportunistic networks. It is a valuable reference resource for
those wanting to start working in HPC and big data systems, as well
as for advanced researchers and practitioners.
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