Laying pheromone trails for balanced and dependable component mappings

Máté J. Csorba, Hein Meling, Poul E. Heegaard

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

This paper presents an optimization framework for finding efficient deployment mappings of replicated service components (to nodes), while accounting for multiple services simultaneously and adhering to non-functional requirements. Currently, we consider load-balancing and dependability requirements. Our approach is based on a variant of Ant Colony Optimization and is completely decentralized, where ants communicate indirectly through pheromone tables in nodes. In this paper, we target scalability; however, existing encoding schemes for the pheromone tables did not scale. Hence, we propose and evaluate three different pheromone encodings. Using the most scalable encoding, we evaluate our approach in a significantly larger system than our previous work. We also evaluate the approach in terms of robustness to network partition failures.

OriginalspracheEnglisch
TitelSelf-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings
Seiten50-64
Seitenumfang15
DOIs
PublikationsstatusVeröffentlicht - 2009
Extern publiziertJa
Veranstaltung4th IFIP TC 6 International Workshop on Self-Organizing Systems, IWSOS 2009 - Zurich, Schweiz
Dauer: 9 Dez. 200911 Dez. 2009

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band5918 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz4th IFIP TC 6 International Workshop on Self-Organizing Systems, IWSOS 2009
Land/GebietSchweiz
OrtZurich
Zeitraum9/12/0911/12/09

Fingerprint

Untersuchen Sie die Forschungsthemen von „Laying pheromone trails for balanced and dependable component mappings“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren