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Adaptive control based dynamic real-time resource management

  • Northwestern Polytechnical University Xian

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

6 Scopus citations

Abstract

In open, largely unpredictable environments, Quality of service (QoS) has recently become an important focus for real-time research. The cost of performing such measurements is a significant hurdle to the wide-spread deployment of open QoS-aware software components. In this paper, we describe the design and implementation of Adaptive Control middleware, a middleware QoS-control architecture based on Adaptive control theory, motivated by the needs of performance-assured distributed application. It uses adaptive behavior to meet timeliness requirements in the face of restrictions in processing power and network bandwidth. This paper gives an overview of our implementation on a Real-time CORBA platform.

Original languageEnglish
Title of host publicationInternational Conference on Machine Learning and Cybernetics
Pages3155-3159
Number of pages5
StatePublished - 2003
Event2003 International Conference on Machine Learning and Cybernetics - Xi'an, China
Duration: 2 Nov 20035 Nov 2003

Publication series

NameInternational Conference on Machine Learning and Cybernetics
Volume5

Conference

Conference2003 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityXi'an
Period2/11/035/11/03

Keywords

  • Adaptive Control
  • Middleware
  • Quality of Service
  • Real-time
  • Resource Management

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