عنوان

Adaptive Resource Management and Scheduling for Cloud Computing

:9783319284477

13784

انگلیسی

Adaptive Resource Management and Scheduling for Cloud Computing

[electronic resources]

: 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

\ Florin Pop, Maria Potop-Butucaru (Eds.)

Cham

: Springer

, 2015

1601

xii, 186 pages

:illustrations

Lecture notes in computer science

LNCS sublibrary. SL 1, Theoretical computer science and general issues.

; 9438

Index

Bibliography

Competitive 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.

0

Cloud computing -- Congresses

Computer scheduling -- Congresses

محاسبات ابری -- کنگره ها

زمانبندی پردازش رایانه‌ای -- کنگره ها

Pop, Florin, editor

Potop-Butucaru, Maria, editor

ARMS-CC (2nd : 2015 : Donostia-San Sebastián, Spain)

ایران

20170218111249.0

rda

9783319284477.pdf

https://www.loc.gov/catdir/enhancements/fy1611/2015958907-d.html

https://www.loc.gov/catdir/enhancements/fy1611/2015958907-t.html

BL

279177

1

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