Modeling Hierarchical Resources Within a Unified Ontology - A Position Paper

Alexander Schiendorfer, Yves Wautelet, Wolfgang Reif

2015

Abstract

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 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.

References

  1. Cabanillas, C., García, J. M., Resinas, M., Ruiz, D., Mendling, J., and Cortés, A. R. (2013). Priority-based human resource allocation in business processes. In Basu, S., Pautasso, C., Zhang, L., and Fu, X., editors, Service-Oriented Computing - 11th International Conference, ICSOC 2013, Berlin, Germany, December 2-5, 2013, Proceedings, volume 8274 of Lecture Notes in Computer Science, pages 374-388. Springer.
  2. Chevaleyre, Y., Dunne, P. E., Endriss, U., Lang, J., Lemaˆitre, M., Maudet, N., Padget, J., Phelps, S., Rodríguez-aguilar, J. A., and Sousa, P. (2006). Issues in Multiagent Resource Allocation. Informatica, 30(1):3 - 31.
  3. OMG (2011). OMG Unified Modeling Language (OMG UML). Version 2.4. Technical report, Object Management Group.
  4. Ramchurn, S. D., Vytelingum, P., Rogers, A., and Jennings, N. R. (2012). Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence. Commun. ACM, 55(4):86-97.
  5. Schiendorfer, A., Steghöfer, J.-P., and Reif, W. (2014). Synthesis and Abstraction of Constraint Models for Hierarchical Resource Allocation Problems. In Proc. 6th Int. Conf. Agents and Artificial Intelligence (ICAART'14), Vol. 2, pages 15-27. SciTePress.
  6. Seebach, H., Nafz, F., Steghöfer, J.-P., and Reif, W. (2010). A Software Engineering Guideline for SelfOrganizing Resource-Flow Systems. In Proc. 6th Int. Conf. Self-Adaptive and Self-Organizing Systems(SASO'10), pages 194-203.
  7. Van Zandt, T. (1995). Hierarchical computation of the resource allocation problem. European Economic Review, 39(3-4):700-708.
  8. Wautelet, Y., Heng, S., and Kolp, M. (2012). A usage-based unified resource model. In SEKE, pages 299-304. Knowledge Systems Institute Graduate School.
Download


Paper Citation


in Harvard Style

Schiendorfer A., Wautelet Y. and Reif W. (2015). Modeling Hierarchical Resources Within a Unified Ontology - A Position Paper . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 614-619. DOI: 10.5220/0005289006140619


in Bibtex Style

@conference{icaart15,
author={Alexander Schiendorfer and Yves Wautelet and Wolfgang Reif},
title={Modeling Hierarchical Resources Within a Unified Ontology - A Position Paper},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={614-619},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005289006140619},
isbn={978-989-758-074-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Modeling Hierarchical Resources Within a Unified Ontology - A Position Paper
SN - 978-989-758-074-1
AU - Schiendorfer A.
AU - Wautelet Y.
AU - Reif W.
PY - 2015
SP - 614
EP - 619
DO - 10.5220/0005289006140619