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008 160915s2014 gw | s |||| 0|eng d
020 _a9783319047652
_9978-3-319-04765-2
024 7 _a10.1007/978-3-319-04765-2
_2doi
035 _ato000542801
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
100 1 _aZhao, Liang.
_eauthor.
_9287606
245 1 0 _aCloud Data Management
_helectronic resource
_cby Liang Zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXIX, 202 p. 86 illus., 50 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aIntroduction -- 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.
520 _aIn 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.
650 0 _aComputer Science.
_9155490
650 0 _aComputer Communication Networks.
_9566243
650 0 _aDatabase management.
_9566224
650 1 4 _aComputer Science.
_9155490
650 2 4 _aDatabase Management.
_9566226
650 2 4 _aComputer Communication Networks.
_9566243
700 1 _aSakr, Sherif.
_eauthor.
_9448309
700 1 _aLiu, Anna.
_eauthor.
_9448310
700 1 _aBouguettaya, Athman.
_eauthor.
_9330747
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-04765-2
912 _aZDB-2-SCS
999 _c400089