000 03289nam a22005655i 4500
001 978-3-319-73214-5
003 DE-He213
005 20220801214036.0
007 cr nn 008mamaa
008 180224s2018 sz | s |||| 0|eng d
020 _a9783319732145
_9978-3-319-73214-5
024 7 _a10.1007/978-3-319-73214-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aTan, Rong Kun Jason.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935951
245 1 0 _aOptimized Cloud Based Scheduling
_h[electronic resource] /
_cby Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIII, 99 p. 33 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aData, Semantics and Cloud Computing,
_x2524-6607 ;
_v759
505 0 _aIntroduction -- Background -- Benchmarking -- Computation of Large Datasets -- Optimized Online Scheduling Algorithms.
520 _aThis book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aApplication software.
_935952
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer and Information Systems Applications.
_935953
700 1 _aLeong, John A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935954
700 1 _aSidhu, Amandeep S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935955
710 2 _aSpringerLink (Online service)
_935956
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319732121
776 0 8 _iPrinted edition:
_z9783319732138
776 0 8 _iPrinted edition:
_z9783030103330
830 0 _aData, Semantics and Cloud Computing,
_x2524-6607 ;
_v759
_935957
856 4 0 _uhttps://doi.org/10.1007/978-3-319-73214-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75892
_d75892