Changes for page Workpackages

From version 17.1
edited by Andrea Omicini
on 26/11/2021 19:33
Change comment: There is no comment for this version
To version 4.1
edited by Andrea Omicini
on 10/12/2020 18:34
Change comment: There is no comment for this version

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1 +Background
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1 -XWiki 2.1
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1 -= Background Papers in {{apice/}} =
1 +#includeMacros("Main.MacroSheet")
2 +#includeMacros("SAPERE.MacroSheet")
3 +#includeMacros("Publications.MacroSheet")
2 2  
3 -{{velocity}}
4 -(% style="border-style:solid hidden hidden solid; border-color:$theme.borderColor" %)!!{{pub}}CollectivesortScp74{{/pub}}
5 -(% style="border-style:hidden solid solid hidden; border-color:$theme.borderColor" %)!!This article presents a comprehensive description of an ant-based, self-organizing algorithms for data aggregation in networks of distributed tuple spaces, showing that data can emergently achieve a cluster-based spatial organization depending on the shape of the carried information.
6 -(% style="border-style:solid hidden hidden solid; border-color:$theme.borderColor" %)!!{{pub}}SelforgcoordSac09{{/pub}}
7 -(% style="border-style:hidden solid solid hidden; border-color:$theme.borderColor" %)!!This paper provides a definition of self-organizing coordination, intended as the way of managing interactions in software system by relying on self-organizing metaphors. The key features of self-organizing coordination are also introduced and described and a series of examples of systems relying on self-organizing coordination approaches presented.
8 -(% style="border-style:hidden solid solid hidden; border-color:$theme.borderColor" %)!!{{pub}}EcoservicesIns180{{/pub}}
9 -(% style="border-style:hidden solid solid hidden; border-color:$theme.borderColor" %)!!We believe this paper is currently the one which most clearly states the requirements and objectives of pervasive service ecosystems. It also sketches a chemical-inspired approach to eco-laws construction, where chemical concentration is used to manage a service "activity value", promoting some ecological patterns of behaviour.
10 -----
5 +1 Background from #apice()
11 11  
12 -#pubATVblock("ChemcoordSoarbook")
13 -This paper motivates the use of a model of chemical tuple spaces for the coordination of situated, adaptive, and diversity-accommodating pervasive systems.
14 -Moreover it is outlined a incarnation of that model on the TuCSoN coordination infrastructure, which can be suitably enhanced with modules supporting
15 -semantic coordination and execution engine for chemical-inspired coordination laws.
16 -----
7 +This page is intended to provide a view of the research work underlying SAPERE afforded by the APICe group.
17 17  
18 -#pubATVblock("BiochemicaltuplespaceSac10")
19 -This paper introduces a model of service self-composition based on the use of ecological laws, which are specified by relying on the biochemical tuple space model. The paper shows how service lifetime can be completely managed in a self-organizing way as regards both survival/extinction and composition with other services.
20 -----
9 +1.1 Background papers from #apice()
21 21  
22 -#pubATVblock("SemCoordSac2010")
23 -This paper show how to empower a tuple space model with semantic techniques by equipping tuple spaces with the ontological description of the coordination
24 -domain and by describing tuples as domain individuals described in terms of the ontology.
25 -In particular, the paper shows how such a model is very useful to address distributed and open scenarios.
26 -The model was implemented in the coordination infrastructure TuCSoN.
27 -----
11 +In the following, a list of related background papers is presented---each paper is provided with a description of its relevance for the SAPERE project.
28 28  
29 -#pubATVblock("MorphoEngBook13")
30 -The paper presents a computational model for capturing scenarios of spatial self-organisation.
31 -In particular it deals with the spatial pattern of gene expression generated in multicellular organisms during morphogenesis.
32 -I believe it can be of interest in the description of a possible model able to reproduce such a complex phenomenon, in the results obtained with the model of a particular organism (Drosophila Melanogaster) and in the considerations proposed for the use of morphogenetic mechanisms in the generation of artificial systems with similar behaviour.
33 33  ----
34 -
35 -#pubATVblock("SelforgcoordKer25years")
36 -Here we discuss the potential of coordination models and languages as the sources for the abstractions and the technologies around which complex computational systems ~-- like intelligent, knowledge-intensive, pervasive, self-organising systems ~-- can be designed and built.
14 +#pubATVblock("CollectivesortScp74")
15 +This article presents a comprehensive description of an ant-based, self-organizing algorithms for data aggregation in networks of distributed tuple spaces, showing that data can emergently achieve a cluster-based spatial organization depending on the shape of the carried information.
37 37  ----
17 +#pubATVblock("SelforgcoordSac09")
18 +This paper provides a definition of self-organizing coordination, intended as the way of managing interactions in software system by relying on self-organizing metaphors. The key features of self-organizing coordination are also introduced and described and a series of examples of systems relying on self-organizing coordination approaches presented.
38 38  
39 -#pubATVblock("FuzzycoordSac11")
40 -The paper shows an extension of semantic tuple spaces with fuzzy techniques in order to also represent vague/fuzzy knowledge so often required by real-world application scenarios.
41 -In particular in this paper it is extended the model of Description Logic tuple spaces with fuzziness in order to support fuzzy semantic coordination.
42 -----
43 -
44 -#pubATVblock("SpatialTaas11")
45 -This paper motivates the use of a model of chemical tuple spaces for the coordination of pervasive service ecosystems. A case study of adaptive pervasive displays is used to show patterns of service competition, and of creation of computational fields based on chemical diffusion.
46 -{{/velocity}}