Self-adaptive decision making for the management of component-based applications

Nabila Belhaj*, Djamel Belaïd, Hamid Mukhtar

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

The increasing complexity of modern applications has motivated the need to automate their management functions. The applications are then able to manage themselves and meet their SLA requirements by means of autonomic MAPE-K loops based on predefined policies. However, the common use of fixed and hand-coded policies, known for being knowledge-intensive, is inadequate to dynamically changing contexts. Autonomic management should be dynamically adaptive to learn appropriate policies at runtime. Towards this direction, we propose to provide autonomic systems with learning abilities to render the decision making self-adaptive. In this paper, we propose to enrich the decision making process of an autonomic MAPE-K loop with a learning-based approach. We demonstrate the usage of learning techniques as building blocks of sophisticated and better performing autonomic systems. We have illustrated our approach with a real-world application example. The experimental results have shown a dynamic adjustment to a changing context in a shorter time as compared to existing approaches. They have also shown less frequent time spent in SLA violations during the learning phase. The approach converges faster and demonstrates higher efficiency and better learning performance.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems. OTM 2017 Conferences - Confederated International Conferences
Subtitle of host publicationCoopIS, C and TC, and ODBASE 2017, Proceedings
EditorsHerve Panetto, Adrian Paschke, Robert Meersman, Mike Papazoglou, Christophe Debruyne, Walid Gaaloul, Claudio Agostino Ardagna
PublisherSpringer Verlag
Pages570-588
Number of pages19
ISBN (Print)9783319694610
DOIs
Publication statusPublished - 2017
EventConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 - Rhodes, Greece
Duration: 23 Sept 201727 Sept 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10573 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017
Country/TerritoryGreece
CityRhodes
Period23/09/1727/09/17

Bibliographical note

Publisher Copyright:
© 2017, Springer International Publishing AG.

Keywords

  • Autonomic computing
  • Component-based applications
  • Reinforcement Learning
  • Self-adaptive decision making

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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