A quality driven approach for provisioning context information to adaptive context-aware services

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The growing adoption of the Service Oriented Architecture (SOA) for provisioning services and the proliferation of Internet-enabled handheld devices are changing the services landscape. Users are increasingly demanding services that can adapt to their current context. In this paper, we propose a framework for provisioning context information to adaptive services. The framework relies on negotiated Context Level Agreements (CLAs) between context-consumers (adaptive services) and context-providers by means of a context broker. The CLA specifies the context information and the agreed upon level of quality-of-context (QoC) that the context-provider shall deliver. We describe the components of the framework and the CLA negotiation process. One of the advantages of the approach is that context-providers can provide several types of context information at different QoC levels. Moreover, the publish/subscribe model allows the broker to be aware of significant variations in QoC offerings; and consequently, be able to monitor the execution of CLAs.

Original languageEnglish
Title of host publicationModern Trends and Techniques in Computer Science - 3rd Computer Science On-line Conference, CSOC 2014
EditorsRadek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova
PublisherSpringer Verlag
Pages407-420
Number of pages14
ISBN (Electronic)9783319067391
DOIs
Publication statusPublished - Jan 1 2014
Event3rd Computer Science On-line Conference, CSOC 2014 -
Duration: Apr 1 2014 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume285
ISSN (Print)2194-5357

Conference

Conference3rd Computer Science On-line Conference, CSOC 2014
Period4/1/14 → …

Keywords

  • Context negotiation
  • Context-aware services
  • QoC Context broker

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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