SEKE 2012 Proceedings - Knowledge Systems Institute

• to provide a unified catalogue of available resources in
the form of a yellow page system;
• to redefine resource as runtime dynamic elements. Objectoriented
development used a static and passive description
of the resources;
• to better understand resource utilization through the expost
study of the contracts by production engineers. This
allows to identify possible bottlenecks and re-optimize
the production planning for adequate resource utilization;
• to compute and store into the caching system prepositions
for devices as the pusher machine, coke car
and guide coke. Since several combinations of instances
of these machines are available, the process is non-trivial;
• to express the process from a resource-based point of
view which allows focusing on interoperability and evolutionary
aspects.
V. RELATED WORK
Different papers have proposed models to represent and
monitor resources. Even heterogeneous resources have been
dealt with – for example in [14] – their evocation has been
always in the context of hardware resources. Indeed, [15] goes
beyond the stage of defining an ontology for heterogeneous resources
representation by proposing a complete architecture as
well as an underlying management dimension with the use of
a semantic repository. The proposal nevertheless only focuses
on the particular context of grid computing and consequently
hardware resources so that it cannot be of any help in terms
of general business modeling. We nevertheless could envisage
to include “our” ontology into their contribution to develop a
larger resource monitoring system. Similarly [16] goes further
in the idea of developing semantic resource management
and within their management using a scheduling method but
also remains in the context of hardware for grid computing.
As evoked in Section II, competency-based modeling for
resource monitoring has been developed in [5] but in the
specific context of human resources. Our ontological frame
extends the competency concept to semantically encompass
these two resource types. Conceptual models as i* [7] include
the resource concept in their definition but do not define
advanced frames for forward engineering such concepts at
design stages; the ontological frame proposed here is intended
to be extended fill this gap and explicitly define traceability
between the business analysis and software design stages.
VI. CONCLUSION
The new hardware resource sharing paradigm and distant
software execution devices such as netbooks or smartphones
paves the way to new heterogeneous resource allocation
requirements supported by active software. To address this
problem at best, an ontology that can easily and flexibly be
included in a classical software engineering process, such as
[1], [2], to develop resource-aware software systems has been
presented in this paper. Section II has overviewed the structural
choices of the ontology including the concepts of functionality
and competency; the distinction between resources and actors
and, finally, resource composition and hierarchy. Section III
has presented the conceptual model itself while Section IV has
been devoted to a case study. Finally, Section V has briefly
depicted related work.
The conceptual model in this research proposes to centralize
resources’ offer and demand through the concepts of functionality
and competency. The ontology furnishes a common
semantic for consumers (i.e. services) to rent resources that can
themselves advertise their offer so that consumption contracts
can be set up.
Future work includes extending the ontology with a process
covering the whole software development life cycle from
(agent-based) analysis to service level agreements. The development
of a dynamic dimension allowing to document and
implement a multi-agent system resources management as well
as the realization on a case study in the field of outbound
logistics is currently under progress.
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