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020 _a9783319284484
_9978-3-319-28448-4
024 7 _a10.1007/978-3-319-28448-4
_2doi
050 4 _aQA76.9.A43
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_2bicssc
072 7 _aCOM051300
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072 7 _aUMB
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082 0 4 _a518.1
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245 1 0 _aAdaptive Resource Management and Scheduling for Cloud Computing
_h[electronic resource] :
_bSecond International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers /
_cedited by Florin Pop, Maria Potop-Butucaru.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 187 p. 77 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v9438
505 0 _aCompetitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machine and the Impact of Resource Augmentation -- Using Performance Forecasting to Accelerate Elasticity -- Parametric Analysis of Mobile Cloud Computing Frameworks using Simulation Modeling -- Bandwidth Aware Resource Optimization for SMT Processors -- User-guided provisioning in federated clouds for distributed calculations -- Compute on the go: A case of mobile-cloud collaborative computing under mobility -- Impact of Virtual Machines Heterogeneity on Datacenter Power Consumption in Data-Intensive Applications -- Implementing the Cloud Software to Data approach for OpenStack environments -- Is Cloud Self-organization Feasible -- Cloud Services composition through Cloud Patterns -- An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures -- Partitioning graph databases by using access patterns -- Cloud Search Based Applications for Big Data - Challenges and Methodologies for Acceleration.
520 _aThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, in Donostia-San Sebastián, Spain, in July 2015. The 12 revised full papers, including 1 invited paper, were carefully reviewed and selected from 24 submissions. The papers have identified several important aspects of the problem addressed by ARMS-CC: self-* and autonomous cloud systems, cloud quality management and service level agreement (SLA), scalable computing, mobile cloud computing, cloud computing techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing, cloud composition, federation, bridging, and bursting, cloud resource virtualization and composition, load-balancing and co-allocation, fault tolerance, reliability, and availability of cloud systems.
650 0 _aAlgorithms.
_93390
650 0 _aComputer networks .
_931572
650 0 _aApplication software.
_988711
650 0 _aSoftware engineering.
_94138
650 0 _aComputer programming.
_94169
650 0 _aComputer simulation.
_95106
650 1 4 _aAlgorithms.
_93390
650 2 4 _aComputer Communication Networks.
_988712
650 2 4 _aComputer and Information Systems Applications.
_988713
650 2 4 _aSoftware Engineering.
_94138
650 2 4 _aProgramming Techniques.
_988714
650 2 4 _aComputer Modelling.
_988715
700 1 _aPop, Florin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_988716
700 1 _aPotop-Butucaru, Maria.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_988717
710 2 _aSpringerLink (Online service)
_988718
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319284477
776 0 8 _iPrinted edition:
_z9783319284491
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v9438
_988719
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28448-4
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