Big Data Benchmarks, Performance Optimization, and Emerging Hardware, Jianfeng Zhan; Rui Han; Roberto V. Zicari

Автор: Raghunath Nambiar; Meikel Poess
Название: Performance Evaluation and Benchmarking. Traditional - Big Data - Internet of Things
ISBN: 3319543334 ISBN-13(EAN): 9783319543338
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Innovative techniques for evaluation, measurement and characterization of complex systems.- Novel ideas and methodologies in permforance evaluation, measurement, and characterization.

Автор: Raghunath Nambiar; Meikel Poess
Название: Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things
ISBN: 3319314084 ISBN-13(EAN): 9783319314082
Издательство: Springer
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Цена: 5870.00 р.
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Описание:

This book constitutes the thoroughly refereed post-conference proceedings of the 7th TPC Technology Conference on Performance Evaluation and Benchmarking, TPSTC 2015, held in conjunction with the 40th International Conference on Very Large Databases (VLDB 2015) in Kohala Coast, Hawaii, USA, in August/September 2015.

The 8 papers presented together with 1 keynote, and 1 vision paper were carefully reviewed and selected from 24 submissions. Many buyers use TPC benchmark results as points of comparison when purchasing new computing systems. The information technology landscape is evolving at a rapid pace, challenging industry experts and researchers to develop innovative techniques for evaluation, measurement and characterization of complex systems. The TPC remains committed to developing new benchmark standards to keep pace, and one vehicle for achieving this objective is the sponsorship of the Technology Conference on Performance Evaluation and Benchmarking (TPCTC).

Автор: Tilmann Rabl; Kai Sachs; Meikel Poess; Chaitanya B
Название: Big Data Benchmarking
ISBN: 3319202324 ISBN-13(EAN): 9783319202327
Издательство: Springer
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Цена: 5590.00 р.
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Описание:

Benchmark Specifications and Proposals.- Hadoop and MapReduce.- In-Memory, Data Generation and Graphs.

Автор: Rabl
Название: Big Data Benchmarking
ISBN: 3319497472 ISBN-13(EAN): 9783319497471
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto, ON, Canada, in June 2015 and the 7th International Workshop, WBDB 2015, held in New Delhi, India, in December 2015.

Автор: Lotfi Tadj; Ajay K. Garg
Название: Emerging Challenges in Business, Optimization, Technology, and Industry
ISBN: 3319585886 ISBN-13(EAN): 9783319585888
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents selected papers on Business Management and Technology, focusing on recent research in Business, Optimization, Technology, and Global Issues.

Автор: Raghunath Nambiar; Meikel Poess
Название: Performance characterization and benchmarking.
ISBN: 3319153498 ISBN-13(EAN): 9783319153490
Издательство: Springer
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Цена: 5590.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the 6th TPC Technology Conference, TPCTC 2014, held in Hangzhou, China, in September 2014.

Автор: Sitansu S. Mittra
Название: Database Performance Tuning and Optimization
ISBN: 1475776977 ISBN-13(EAN): 9781475776973
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Presents an ideal mix of theory and practice, which allows the reader to understand the principle behind the application.; Coverage of performance tuning of datawarehouses offers readers the principles and tools they need to handle large reporting databases.; Material can also be used in a non-Oracle environment; Highly experienced author.

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.