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024 7 _a10.1007/978-3-662-55696-2
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Reza Akbarinia, Esther Pacitti.
250 _a1st ed. 2017.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2017.
300 _aIX, 185 p. 65 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10430
505 0 _aLightweight Metric Computation for Distributed Massive Data Streams -- Performance Analysis of Object Store Systems in a Fog and Edge Computing Infrastructure -- Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud -- Cost Optimization of Data Flows Based on Task Re-ordering -- Fusion Strategies for Large-Scale Multi-Modal Image Retrieval.
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 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.
650 0 _aDatabase management.
_93157
650 0 _aArtificial intelligence.
_93407
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aApplication software.
_9163715
650 1 4 _aDatabase Management.
_93157
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputer and Information Systems Applications.
_9163716
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163717
700 1 _aKüng, Josef.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9163718
700 1 _aWagner, Roland.
_eeditor.
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_9163719
700 1 _aAkbarinia, Reza.
_eeditor.
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_9163720
700 1 _aPacitti, Esther.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9163721
710 2 _aSpringerLink (Online service)
_9163722
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662556955
776 0 8 _iPrinted edition:
_z9783662556979
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10430
_9163723
856 4 0 _uhttps://doi.org/10.1007/978-3-662-55696-2
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