Interaction-Awareness for Self-Adaptive Volunteer Computing

Abdessalam Elhabbash, Rami Bahsoon, Peter Tino

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

1 Citation (Scopus)

Abstract

In this paper, we contribute to a self-adaptive approach, namely interaction-awareness which adopts self-aware principles to dynamically manage and maintain the knowledge on the interactions between volunteer services in the volunteer computing paradigm. Such knowledge can inform the adaptation decisions, leading to increase in the precision of selecting and composing services. We evaluate the approaches using a volunteer storage composition scenario. The evaluation results show the advantages of dynamic knowledge management in self-adaptive VC in selecting dependable services and satisfying higher number of requests.

Original languageEnglish
Title of host publicationProceedings - IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages148-149
Number of pages2
ISBN (Electronic)9781509035342
DOIs
Publication statusE-pub ahead of print - 8 Dec 2016
Event10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016 - Augsburg, Germany
Duration: 12 Sept 201616 Sept 2016

Conference

Conference10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2016
Country/TerritoryGermany
CityAugsburg
Period12/09/1616/09/16

Keywords

  • dependability
  • self-adaptive
  • self-aware
  • service composition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Optimization

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