Cloud data management [electronic resource] / Liang zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya ; foreworded by Albert Y. Zomaya.
Zhao, Liang, author.; Sakr, Sherif, 1979- author.; Liu, Anna, author.; Bouguettaya, Athman, author.
2014
QA76.9.D3
Available Online

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Title Cloud data management [electronic resource] / Liang zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya ; foreworded by Albert Y. Zomaya.
Author Zhao, Liang, author.
ISBN 9783319047645
3319047647
9783319047652electronic book
3319047655electronic book
DOI https://doi.org/10.1007/978-3-319-04765-2
Published Cham ; New York : Springer, 2014.
Language English
Description 1 online resource
Item Number 10.1007/978-3-319-04765-2 doi
Call Number QA76.9.D3
Dewey Decimal Classification 005.7565
Summary 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.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Sakr, Sherif, 1979- author.
Liu, Anna, author.
Bouguettaya, Athman, author.
Available in Other Form Cloud data management.
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Record Appears in Online Resources > Ebooks
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Introduction
Cloud Computing
Cloud-Hosted Data Storage Systems
Performance Evaluation Framework of Cloud Platforms
Database Replication of NoSQL Database-as-a-Service
Replicating Virtualized Database Servers
SLA-Driven Database Replication on Virtualized Database Servers
QoS-Aware Service Compositions in Cloud Computing
Big Data Processing Systems
Conclusions.

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