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An Adaptive PID Control for QoS Management in Cloud Computing System

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the growing demands of computing resources, cloud computing provides a cost-effective way to reshape the resources, such as CPU and memory for services. QoS (Quality of Service) is impacted by resource allocation. In order to fulfill the QoS requirements, it is necessary to provide sufficient resources for the services. Offering the high QoS with the low resource allocation becomes a key challenge of resource allocation in cloud computing. In this paper, we propose an adaptive PID (Proportional-Integral-Derivative) control based on FFRLS (Forgetting Factor Recursive Least Square) for QoS management that not only efficiently use resources but also ensures the QoS in real time.

Original languageEnglish
Title of host publicationProceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018
EditorsRoberto Natella, Sudipto Ghosh, Nuno Laranjeiro, Robin Poston, Bojan Cukic
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages142-143
Number of pages2
ISBN (Electronic)9781538694435
DOIs
StatePublished - 16 Nov 2018
Event29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018 - Memphis, United States
Duration: 15 Oct 201818 Oct 2018

Publication series

NameProceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018

Conference

Conference29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018
Country/TerritoryUnited States
CityMemphis
Period15/10/1818/10/18

Keywords

  • QoS management
  • adaptive PID control
  • cloud computing
  • resource allocation

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