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001 978-3-319-57045-7
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020 _a9783319570457
_9978-3-319-57045-7
024 7 _a10.1007/978-3-319-57045-7
_2doi
050 4 _aQA76.9.A43
072 7 _aUMB
_2bicssc
072 7 _aCOM051300
_2bisacsh
072 7 _aUMB
_2thema
082 0 4 _a518.1
_223
245 1 0 _aAlgorithmic Aspects of Cloud Computing
_h[electronic resource] :
_bSecond International Workshop, ALGOCLOUD 2016, Aarhus, Denmark, August 22, 2016, Revised Selected Papers /
_cedited by Timos Sellis, Konstantinos Oikonomou.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXII, 183 p. 41 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v10230
505 0 _aAlgorithmic aspects of elasticity and scalability for distributed, large-scale data stores (e.g. NoSQL and columnar databases) -- Sand retrieval algorithms for cloud infrastructures -- Monitoring and analysis of elasticity for virtualized environments -- NoSQL, schemaless data modeling, integration -- Caching and load-balancing; storage structures and indexing for cloud databases -- New algorithmic aspects of parallel and distributed computing for cloud applications -- Scalable machine learning, analytics and data science -- High availability, reliability, failover; transactional models and algorithms for cloud databases -- Query languages and processing programming models -- Consistency, replication and partitioning CAP, data structures and algorithms for eventually consistent stores.
520 _aThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. The 11 revised full papers presented together with one tutorial paper were carefully reviewed and selected from 30 initial submissions. They deal with the following topics: algorithmic aspects of elasticity and scalability for distributed, large-scale data stores (e.g. NoSQL and columnar databases); search and retrieval algorithms for cloud infrastructures; monitoring and analysis of elasticity for virtualized environments; NoSQL, schemaless data modeling, integration; caching and load-balancing; storage structures and indexing for cloud databases; new algorithmic aspects of parallel and distributed computing for cloud applications; scalable machine learning, analytics and data science; high availability, reliability, failover; transactional models and algorithms for cloud databases; query languages and processing programming models; consistency, replication and partitioning CAP, data structures and algorithms for eventually consistent stores.
650 0 _aAlgorithms.
650 0 _aApplication software.
650 0 _aData mining.
650 0 _aDatabase management.
650 0 _aComputer networks .
650 0 _aElectronic digital computers
_xEvaluation.
650 1 4 _aAlgorithms.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aDatabase Management.
650 2 4 _aComputer Communication Networks.
650 2 4 _aSystem Performance and Evaluation.
700 1 _aSellis, Timos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aOikonomou, Konstantinos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319570440
776 0 8 _iPrinted edition:
_z9783319570464
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v10230
856 4 0 _uhttps://doi.org/10.1007/978-3-319-57045-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c173853
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