Systems Simulation Modeling Cloud (40 results)
Language: English
Published by Cham, Springer., 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, GermanyUniversitätsbuchhandlung Herta Hold GmbH
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xx, 155 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Language: English
Published by Cham, Springer., 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, GermanyUniversitätsbuchhandlung Herta Hold GmbH
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XX, 155 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data. Volume 36. Sprache: Englisch.
Modeling and Simulation in HPC and Cloud Systems
Kolodziej, Joanna (EDT); Pop, Florin (EDT); Dobre, Ciprian (EDT)
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
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Modeling and Simulation in HPC and Cloud Systems
Kolodziej, Joanna (EDT); Pop, Florin (EDT); Dobre, Ciprian (EDT)
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
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Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
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Condition: New. In.
Language: English
Published by Springer, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Springer 2019-06-07, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Modeling and Simulation in HPC and Cloud Systems
Kolodziej, Joanna (EDT); Pop, Florin (EDT); Dobre, Ciprian (EDT)
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
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Modeling and Simulation in HPC and Cloud Systems
Kolodziej, Joanna (EDT); Pop, Florin (EDT); Dobre, Ciprian (EDT)
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
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Modeling and Simulation in Hpc and Cloud Systems
Kolodziej, Joanna (Editor)/ Pop, Florin (Editor)/ Dobre, Ciprian (Editor)
Language: English
Published by Springer-Verlag New York Inc, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. reprint edition. 176 pages. 9.25x6.10x0.47 inches. In Stock.
Modeling and Simulation in HPC and Cloud Systems
Kolodziej, Joanna (Edited by)/ Pop, Florin (Edited by)/ Dobre, Ciprian (Edited by)
Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 155 pages. 9.25x6.25x0.50 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 M…odelling 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.
Language: English
Published by Springer International Publishing, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Modellin…g 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.
More imagesLanguage: English
Published by Springer, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Modeling and Simulation in HPC and Cloud Systems | Joanna Ko¿odziej (u. a.) | Taschenbuch | Studies in Big Data | xx | Englisch | 2019 | Springer | EAN 9783319892580 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]co…m | Anbieter: preigu.
- Softcover
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- Softcover
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- Softcover
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- Softcover
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Language: English
Published by Elsevier Science Publishing Co Inc, US, 2020
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For…example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
- Softcover
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- Softcover
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Condition: New. Examines the methodology and requirements of benchmarking big data and cloud computing tools, advances in big data frameworks and benchmarks for large-scale data analytics, and frameworks for benchmarking and predictive analytics in big data deploy.
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2020
- Softcover
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Paperback. Condition: New. Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For…example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
- Softcover
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Taschenbuch. Condition: Neu. Neuware - Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant adva…ntages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
Language: English
Published by Springer, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
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Language: English
Published by Springer, 2018
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Hardcover
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Language: English
Published by Springer International Publishing Jun 2019, 2019
Series: Studies in Big Data, Book 31 of 95. Book 31 of 95 - Studies in Big Data
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch.
