DocumentCode :
3246138
Title :
Applying Self-Organizing Coordination to Emergent Tuple Organization in Distributed Networks
Author :
Casadei, Matteo ; Viroli, Mirko
Author_Institution :
Univ. di Bologna, Cesena
fYear :
2008
fDate :
20-24 Oct. 2008
Firstpage :
213
Lastpage :
222
Abstract :
An interesting application of self-organization techniques is in the context of coordination languages and models, which aims at developing tools (languages, models, infrastructures) to flexibly manage the interaction of components in distributed systems.In a coordinated system, the environment is filled with coordination media -- e.g. tuple spaces or interaction channels -- enacting coordination laws that are typically reactive, deterministic, and global.Based on the pillars of self-organizing systems and few emerging works in coordination, we propose and discuss the alternative view of self-organizing coordination, where coordination laws are probabilistic, based on local criteria, and time-reactive, thus resulting in coordination services where global properties of interest appear by emergence.To make the discussion more concrete we show an application inspired by corpse clustering and larvae sorting in ant colonies, where a distributed tuple-space-based scenario is enhanced with adaptive tuple clustering and sorting.
Keywords :
distributed processing; fault tolerant computing; pattern clustering; probability; sorting; adaptive tuple clustering; ant colony; corpse clustering; distributed network; emergent tuple organization; larvae sorting; probability; self-organizing coordination; Artificial intelligence; Cadaver; Computer architecture; Concrete; Conference management; Context modeling; Multiagent systems; Pervasive computing; Social network services; Sorting; data distribution; self-organizing coordination; tuple clustering; tuple sorting; tuple space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems, 2008. SASO '08. Second IEEE International Conference on
Conference_Location :
Venezia
Print_ISBN :
978-0-7695-3404-6
Type :
conf
DOI :
10.1109/SASO.2008.18
Filename :
4663425
Link To Document :
بازگشت