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 /

This 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 S...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Pop, Florin (Επιμελητής έκδοσης), Potop-Butucaru, Maria (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Σειρά:Lecture Notes in Computer Science, 9438
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.