Benchmarking Transaction and Analytical Processing Systems: The Creation of a Mixed Workload Benchmark and its Application: In-Memory Data Management Research
Autor Anja Bogen Limba Engleză Paperback – 8 aug 2015
Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well.
Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 610.18 lei 6-8 săpt. | |
| Springer Berlin, Heidelberg – 8 aug 2015 | 610.18 lei 6-8 săpt. | |
| Hardback (1) | 616.15 lei 6-8 săpt. | |
| Springer Berlin, Heidelberg – 29 iul 2013 | 616.15 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783642429941
ISBN-10: 3642429947
Pagini: 180
Ilustrații: XIII, 164 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.26 kg
Ediția:Softcover reprint of the original 1st ed. 2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria In-Memory Data Management Research
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642429947
Pagini: 180
Ilustrații: XIII, 164 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.26 kg
Ediția:Softcover reprint of the original 1st ed. 2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria In-Memory Data Management Research
Locul publicării:Berlin, Heidelberg, Germany
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Public țintă
ResearchCuprins
Introduction.- Part I: Background of Transactional and Analytical Systems in Logical Database Design and Benchmarking.- Part II: Towards a Benchmark for Mixed Workloads and its Application in Evaluating Database Schemas.- Part III: Implementation, Evaluation, and Discussion.- Part IV: Appendix.
Recenzii
From the reviews:
“In this book, the author proposes to combine OLTP and OLAP systems to achieve enhanced efficiency and reduced cost, and introduces a benchmark to study the performance of such systems under different workload conditions. … I recommend this book to professionals handling online data processing services and applications, and researchers who are working toward enhancing existing online data processing systems and benchmarks.” (Rinki Sharma, Computing Reviews, December, 2013)
“In this book, the author proposes to combine OLTP and OLAP systems to achieve enhanced efficiency and reduced cost, and introduces a benchmark to study the performance of such systems under different workload conditions. … I recommend this book to professionals handling online data processing services and applications, and researchers who are working toward enhancing existing online data processing systems and benchmarks.” (Rinki Sharma, Computing Reviews, December, 2013)
Notă biografică
Anja Bog is a PhD candidate and research assistant at the research group "Enterprise Platform and Integration Concepts" of Prof. Dr. h.c. Hasso Plattner, Hasso Plattner Institute, Potsdam, Germany. Her special interests lie in the data management systems underneath operational and analytical business applications, and in the question of validating the integrated data management of both domains. Anja Bog holds a Master of Science with Distinction in IT Systems Engineering from the Hasso Plattner Institute at the University of Potsdam.
Textul de pe ultima copertă
Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing.
Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well.
Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.
Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well.
Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.
Caracteristici
This book introduces the first realistic benchmark that can be used by companies to evaluate hybrid OLTP and OLAP systems A detailed description of database models helps the reader to understand the challenge of reuniting OLTP and OLAP The reader is introduced into the scientific world of benchmarking hybrid OLTP and OLAP database systems Includes supplementary material: sn.pub/extras