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020 _a9783662540541
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024 7 _a10.1007/978-3-662-54054-1
_2doi
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXX
_h[electronic resource] :
_bSpecial Issue on Cloud Computing /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Klaus-Dieter Schewe, Karoly Bosa.
250 _a1st ed. 2016.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aIX, 133 p. 62 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10130
505 0 _aCloud Computing: Read before Use -- Differential Erasure Codes for Efficient Archival of Versioned Data in Cloud Storage Systems -- Secure Integration of Third Party Components in a Model-Driven Approach -- Comprehending a Service by Informative Models -- Providing Ontology-Based Privacy-Aware Data Access through Web Services and Service Composition.
520 _aThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 30th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five in-depth papers focusing on the subject of cloud computing. Topics covered within this context include cloud storage, model-driven development, informative modeling, and security-critical systems.
650 0 _aDatabase management.
_93157
650 0 _aData mining.
_93907
650 0 _aArtificial intelligence.
_93407
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aApplication software.
_9163474
650 0 _aAlgorithms.
_93390
650 1 4 _aDatabase Management.
_93157
650 2 4 _aData Mining and Knowledge Discovery.
_9163475
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputer and Information Systems Applications.
_9163476
650 2 4 _aAlgorithms.
_93390
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163477
700 1 _aKüng, Josef.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163478
700 1 _aWagner, Roland.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163479
700 1 _aSchewe, Klaus-Dieter.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163480
700 1 _aBosa, Karoly.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163481
710 2 _aSpringerLink (Online service)
_9163482
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662540534
776 0 8 _iPrinted edition:
_z9783662540558
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10130
_9163483
856 4 0 _uhttps://doi.org/10.1007/978-3-662-54054-1
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