03361nam 22005895 450 99621051990331620230329232333.03-319-13464-710.1007/978-3-319-13464-2(CKB)3710000000306195(SSID)ssj0001386304(PQKBManifestationID)11716144(PQKBTitleCode)TC0001386304(PQKBWorkID)11368923(PQKB)11494056(DE-He213)978-3-319-13464-2(MiAaPQ)EBC6296546(MiAaPQ)EBC5610328(Au-PeEL)EBL5610328(OCoLC)897802893(PPN)183094794(EXLCZ)99371000000030619520141125d2014 u| 0engurnn#008mamaatxtccrAdaptive Resource Management and Scheduling for Cloud Computing[electronic resource] First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers /edited by Florin Pop, Maria Potop-Butucaru1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (XII, 217 p. 68 illus.)Theoretical Computer Science and General Issues,2512-2029 ;8907Includes Index.3-319-13463-9 A Multi-Capacity Queuing Mechanism in Multi-Dimensional Resource Scheduling -- A Green Scheduling Policy for Cloud Computing -- A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud -- An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment -- Power-efficient Assignment of Virtual Machines to Physical Machines -- Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems -- Towards Type-based Optimizations in Distributed Applications using ABS and JAVA 8 -- A Parallel Genetic Algorithm Framework for Cloud Computing Applications.This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, in Paris, France, in July 2014. The 14 revised full papers (including 2 invited talks) were carefully reviewed and selected from 29 submissions and cover topics such as scheduling methods and algorithms, services and applications, fundamental models for resource management in the cloud.Theoretical Computer Science and General Issues,2512-2029 ;8907Computer scienceComputer ScienceComputer science.Computer Science.004.6782Pop Florinedthttp://id.loc.gov/vocabulary/relators/edtPotop-Butucaru Mariaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996210519903316Adaptive Resource Management and Scheduling for Cloud Computing2829843UNISA