Adaptive Query Processing

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Adaptive Query Processing

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Author : Amol Deshpande
language : en
Publisher: Now Publishers Inc
Release Date : 2007

Adaptive Query Processing written by Amol Deshpande and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.

Adaptive Query Processing surveys the fundamental issues, techniques, costs, and benefits of adaptive query processing. It begins with a broad overview of the field, identifying the dimensions of adaptive techniques. It then looks at the spectrum of approaches available to adapt query execution at runtime - primarily in a non-streaming context. The emphasis is on simplifying and abstracting the key concepts of each technique, rather than reproducing the full details available in the papers. The authors identify the strengths and limitations of the different techniques, demonstrate when they are most useful, and suggest possible avenues of future research. Adaptive Query Processing serves as a valuable reference for students of databases, providing a thorough survey of the area. Database researchers will benefit from a more complete point of view, including a number of approaches which they may not have focused on within the scope of their own research.

Adaptive Query Processing

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Author : Pedro G. Bizarro
language : en
Publisher:
Release Date : 2006

Adaptive Query Processing written by Pedro G. Bizarro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Adaptive Query Processing

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Author : Wee Hyong Tok
language : en
Publisher:
Release Date : 2001

Adaptive Query Processing written by Wee Hyong Tok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.

Efficient Adaptive Query Processing On Large Database Systems Available In The Cloud Environment

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Author : Clayton Maciel Costa
language : en
Publisher: Simplíssimo
Release Date : 2020-09-15

Efficient Adaptive Query Processing On Large Database Systems Available In The Cloud Environment written by Clayton Maciel Costa and has been published by Simplíssimo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with Computers categories.

Nowadays, many companies are migrating their applications and data to cloud service providers, mainly because of their ability to answer quickly to business requirements. Thereby, the performance is an important requirement for most customers when they wish to migrate their applications to the cloud. Therefore, in cloud environments, resources should be acquired and released automatically and quickly at runtime. Moreover, the users and service providers expect to get answers in time to ensure the service SLA (Service Level Agreement). Consequently, ensuring the QoS (Quality of Service) is a great challenge and it increases when we have large amounts of data to be manipulated in this environment. To resolve this kind of problems, several researches have been focused on shorter execution time using adaptive query processing and/or prediction of resources based on current system status. However, they present important limitations. For example, most of these works does not use monitoring during query execution and/or presents intrusive solutions, i.e. applied to the particular context. The aim of this book is to present the development of new solutions/strategies to efficient adaptive query processing on large databases available in a cloud environment. It must integrate adaptive re-optimization at query runtime and their costs are based on the SRT (Service Response Time – SLA QoS performance parameter). Finally, the proposed solution will be evaluated on large scale with large volume of data, machines and queries in a cloud computing infrastructure. Finally, this work also proposes a new model to estimate the SRT for different request types (database access requests). This model will allow the cloud service provider and its customers to establish an appropriate SLA relative to the expected performance of the services available in the cloud.

Adaptive Query Processing In Data Stream Management Systems

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Author : Shivnath Babu
language : en
Publisher:
Release Date : 2005

Adaptive Query Processing In Data Stream Management Systems written by Shivnath Babu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.

Adaptive Query Processing For Improving Responsiveness Of Wide Area Queries

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Author : Tolga Urhan
language : en
Publisher:
Release Date : 2002

Adaptive Query Processing For Improving Responsiveness Of Wide Area Queries written by Tolga Urhan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Data flow computing categories.

Adaptive Query Processing In Pipelined Plans

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Author : Kwanchai Eurviriyanukul
language : en
Publisher:
Release Date : 2008

Adaptive Query Processing In Pipelined Plans written by Kwanchai Eurviriyanukul and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.

Eddies

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Author : Ron Avnur
language : en
Publisher:
Release Date : 2000

Eddies written by Ron Avnur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

Using State Modules For Adaptive Query Processing

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Author : Vijayshankar Raman
language : en
Publisher:
Release Date : 2003

Using State Modules For Adaptive Query Processing written by Vijayshankar Raman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Adaptive Query Processing For Time Series Data

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Author : International Business Machines Corporation. Research Division
language : en
Publisher:
Release Date : 1998

Adaptive Query Processing For Time Series Data written by International Business Machines Corporation. Research Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Data mining categories.

Abstract: "Traditional query processing for time-series data is based on transforming data in the time domain into the frequency domain. This approach however is less controllable by the end users, therefore isn't well suited for finding patterns with many dynamically specified user constraints. For many applications, there may not be any known patterns to search with. Instead, the users discover patterns by issuing queries with combinations of various dynamically specified constraints, such as the degrees of accuracy, the moving average window sizes, the aggregate time units (e.g., total by day, by week, or by month), etc. We present a method to search time-series data that is adaptive to process queries with many dynamically specified constraints. Based on movements between contiguous data points in time series, our method first transforms time sequences into symbol strings of the discrete domain. Next, a suffix tree is built to index all suffixes of the symbol strings transformed from the time sequences. The focus of this paper is to present this method and to demonstrate how it can adapt to the processing of time-series queries with various dynamic constraints."