000 04307nam a22005895i 4500
001 978-3-319-28448-4
003 DE-He213
005 20200421112051.0
007 cr nn 008mamaa
008 160107s2015 gw | s |||| 0|eng d
020 _a9783319284484
_9978-3-319-28448-4
024 7 _a10.1007/978-3-319-28448-4
_2doi
050 4 _aQA76.9.A43
072 7 _aUMB
_2bicssc
072 7 _aCOM051300
_2bisacsh
082 0 4 _a005.1
_223
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 Sebasti�an, 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
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_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 Sebasti�an, 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 _aComputer science.
650 0 _aComputer communication systems.
650 0 _aComputer programming.
650 0 _aSoftware engineering.
650 0 _aAlgorithms.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aComputer Communication Networks.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aSoftware Engineering.
650 2 4 _aProgramming Techniques.
650 2 4 _aSimulation and Modeling.
700 1 _aPop, Florin.
_eeditor.
700 1 _aPotop-Butucaru, Maria.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319284477
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9438
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-28448-4
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c57212
_d57212