Authors:
Presents an end-to-end framework for consumer-centric SLA management of cloud-hosted databases
Introduces a novel influence-diagram-based cloud service composition approach
Includes analytical and simulational results to show the performance of the proposed composition approach
Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic benchmark architecture for cloud databases, specifically NoSQL database as a service. It measures the performance of replication delay and monetary cost.
Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer applications. We present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective and an end-to-end framework for consumer-centric SLA management of cloud-hosted databases. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The framework is database platform-agnostic, uses virtualization-based database replication mechanisms and requires zero source code changes of the cloud-hosted software applications.
Reviews
From the book reviews:
“The book appears particularly relevant as it offers timely coverage of the requirements, characteristics, and challenges of managing large-scale cloud-based data services. … this is a very interesting piece of work, filled with a lot of timely information and written from a very practical perspective to include material on implementation costs for different data management options. A good and enjoyable read for advanced students and practitioners working in the field.” (Alessandro Berni, Computing Reviews, August, 2014)Authors and Affiliations
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NICTA, Kensington, Australia
Liang Zhao
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Software Systems Research Group, and Faculty of Computers and Information, NICTA, New South Wales, Australia and Cairo University, Egypt
Sherif Sakr
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NICTA, Eveleigh, Australia
Anna Liu
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School of Computer Science and Information Technology, RMIT University, Melbourne, Australia
Athman Bouguettaya
Bibliographic Information
Book Title: Cloud Data Management
Authors: Liang Zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya
DOI: https://doi.org/10.1007/978-3-319-04765-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-04764-5Published: 25 March 2014
Softcover ISBN: 978-3-319-34776-9Published: 03 September 2016
eBook ISBN: 978-3-319-04765-2Published: 08 July 2014
Edition Number: 1
Number of Pages: XIX, 202
Number of Illustrations: 36 b/w illustrations, 50 illustrations in colour
Topics: Database Management, Computer Communication Networks