Adaptive Resource Management and Scheduling for Cloud Computing: Second 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: Lecture Notes in Computer Science, cartea 9438
Editat de Florin Pop, Maria Potop-Butucaruen Limba Engleză Paperback – 3 feb 2016
The 12 revised full papers, including 1 invited paper,were carefully reviewed and selected from 24 submissions. The papers haveidentified several important aspects of the problem addressed by ARMS-CC:self-* and autonomous cloud systems, cloud quality management and service levelagreement (SLA), scalable computing, mobile cloud computing, cloud computingtechniques for big data, high performance cloud computing, resource managementin big data platforms, scheduling algorithms for big data processing, cloudcomposition, federation, bridging, and bursting, cloud resource virtualizationand composition, load-balancing and co-allocation, fault tolerance,reliability, and availability of cloud systems.
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 270.69 lei 6-8 săpt. | |
Springer International Publishing – 3 feb 2016 | 270.69 lei 6-8 săpt. | |
Springer International Publishing – 5 dec 2014 | 329.26 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319284477
ISBN-10: 3319284479
Pagini: 187
Ilustrații: XII, 187 p. 77 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3319284479
Pagini: 187
Ilustrații: XII, 187 p. 77 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machineand the Impact of Resource Augmentation.- Using Performance Forecasting toAccelerate Elasticity.- Parametric Analysis of Mobile Cloud ComputingFrameworks using Simulation Modeling.- Bandwidth Aware Resource Optimizationfor SMT Processors.- User-guided provisioning in federated clouds fordistributed calculations.- Compute on the go: A case of mobile-cloudcollaborative computing under mobility.- Impact of Virtual MachinesHeterogeneity on Datacenter Power Consumption in Data-Intensive Applications.- Implementingthe Cloud Software to Data approach for OpenStack environments.- Is CloudSelf-organization Feasible.- Cloud Services composition through Cloud Patterns.-An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop'sSchedulers Under Failures.- Partitioning graph databases by using accesspatterns.- Cloud Search Based Applications for Big Data - Challenges and Methodologiesfor Acceleration.
Caracteristici
Includes supplementary material: sn.pub/extras
Textul de pe ultima copertă
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.