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Modeling Hierarchical Resources Within a Unified Ontology

  • Resource-Intensive Software Ecosystems (RISE) can mainly be found in production management but also in virtually any socio-technical environment. RISE appear prominently in the form of smart grids or cloud environments where optimizing resource utilization and allocation becomes the most important aspect for competitive service provision. In such a context, the need for unified ontologies supported by adaptive software (i.e., software able to learn from and act on its environment) is highly attractive. Indeed, resources are mostly not monolithic entities but active and collaborative agents often organized in a hierarchical manner. A hierarchy implies multiple levels of abstraction leading to resource allocation on different levels of organization -- with abstractions being relevant for both inter- and intra-organization resource management. Once adequately defined, the use of constraint-based optimization algorithms on those multiple levels can provide efficient resource allocation. We apply, in this paper, ontological elements toResource-Intensive Software Ecosystems (RISE) can mainly be found in production management but also in virtually any socio-technical environment. RISE appear prominently in the form of smart grids or cloud environments where optimizing resource utilization and allocation becomes the most important aspect for competitive service provision. In such a context, the need for unified ontologies supported by adaptive software (i.e., software able to learn from and act on its environment) is highly attractive. Indeed, resources are mostly not monolithic entities but active and collaborative agents often organized in a hierarchical manner. A hierarchy implies multiple levels of abstraction leading to resource allocation on different levels of organization -- with abstractions being relevant for both inter- and intra-organization resource management. Once adequately defined, the use of constraint-based optimization algorithms on those multiple levels can provide efficient resource allocation. We apply, in this paper, ontological elements to model resources in a unified manner on multiple levels onto an example taken from distributed energy management. Then we present algorithmic ideas to organize the hierarchy of these resources.show moreshow less

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Metadaten
Author:Alexander SchiendorferORCiD, Yves Wautelet, Wolfgang ReifORCiD
Subtitle (English):A Position Paper
Language:English
Document Type:Conference Paper
Conference:7th International Conference on Agents and Artificial Intelligence (ICAART 2015), Lisbon (Portugal), 10.-12.01.2015
Year of first Publication:2015
published in (English):Proceedings of the International Conference on Agents and Artificial Intelligence
Editor(s):Stephane Loiseau, Joaquim Filipe, Béatrice Duval, Jaap van den Herik
Publisher:SciTePress
Place of publication:Setúbal
ISBN:978-989-758-074-1
First Page:614
Last Page:619
Review:peer-review
Open Access:ja
URN:urn:nbn:de:bvb:573-42448
Related Identifier:https://doi.org/10.5220/0005289006140619
Licence (German):License Logo Creative Commons BY-NC-ND 4.0
Release Date:2023/12/21