Self-adaptation in Collective Self-aware Computing Systems

Jeffrey O. Kephart, Ada Diaconescu, Holger Giese, Anders Robertsson, Tarek Abdelzaher, Peter Lewis, Antonio Filieri, Lukas Esterle, Sylvain Frey

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The goals of this chapter are to identify the challenges involved in selfadaptation (including learning and knowledge sharing) of multiple self-aware systems (or system collectives). We shall discuss the techniques available for dealing with the challenges identified (e.g., algorithms for conflict resolution, collective learning, and negotiation protocols), and which are appropriate given assumptions regarding the collective system architecture.We refer to notions of knowledge, learning, and adaptation; various self-awareness levels; and reference scenarios introduced in Chap. 4.

Original languageEnglish (US)
Title of host publicationSelf-Aware Computing Systems
PublisherSpringer International Publishing
Pages401-435
Number of pages35
ISBN (Electronic)9783319474748
ISBN (Print)9783319474724
DOIs
StatePublished - Feb 21 2017

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Kephart, J. O., Diaconescu, A., Giese, H., Robertsson, A., Abdelzaher, T., Lewis, P., Filieri, A., Esterle, L., & Frey, S. (2017). Self-adaptation in Collective Self-aware Computing Systems. In Self-Aware Computing Systems (pp. 401-435). Springer International Publishing. https://doi.org/10.1007/978-3-319-47474-8_13