3,425 research outputs found
Архітектура конфігуратора PMB інформаційних систем в будівництві
Авторами запропонована нова архітектура конфігуратора PMB інформаційних систем в будівництві.
При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/31632In the article the principle structure of valuable configurator of IT is offered for the complex systems changing in the process of the activity. The PMB configurator is considered as practical development of authors’ research. Attention is spared to the theoretical part of realization of configurator and formulation of tasks.
При цитировании документа, используйте ссылку http://essuir.sumdu.edu.ua/handle/123456789/3163
How to Complete an Interactive Configuration Process?
When configuring customizable software, it is useful to provide interactive
tool-support that ensures that the configuration does not breach given
constraints.
But, when is a configuration complete and how can the tool help the user to
complete it?
We formalize this problem and relate it to concepts from non-monotonic
reasoning well researched in Artificial Intelligence. The results are
interesting for both practitioners and theoreticians. Practitioners will find a
technique facilitating an interactive configuration process and experiments
supporting feasibility of the approach. Theoreticians will find links between
well-known formal concepts and a concrete practical application.Comment: to appear in SOFSEM 201
Learning in Non-Cooperative Configurable Markov Decision Processes
The Configurable Markov Decision Process framework includes two entities: a Reinforcement Learning agent and a configurator that can modify some environmental parameters to improve the agent's performance. This presupposes that the two actors have the same reward functions. What if the configurator does not have the same intentions as the agent? This paper introduces the Non-Cooperative Configurable Markov Decision Process, a setting that allows having two (possibly different) reward functions for the configurator and the agent. Then, we consider an online learning problem, where the configurator has to find the best among a finite set of possible configurations. We propose two learning algorithms to minimize the configurator's expected regret, which exploits the problem's structure, depending on the agent's feedback. While a naive application of the UCB algorithm yields a regret that grows indefinitely over time, we show that our approach suffers only bounded regret. Furthermore, we empirically show the performance of our algorithm in simulated domains
Enhancing Web-Based Configuration with Recommendations and Cluster-Based Help
In a collaborative project with Tacton AB, we have investigated new ways of assisting the user in the process of on-line product configuration. A web-based prototype, RIND, was built for ephemeral users in the domain of PC configuration
Product Configuration Systems: State of the Art, Conceptualization and Extensions
Product configurators are considered to be among the most successful applications of artificial intelligence technology. In this paper, we determine different conceptualizations of configurators and condense them in a comprehensive morphological box, which should support configurator designers as well as decision makers in selecting the right system. The analysis of the criteria according to which configurators that are designed thus far reveals a neglect of the front-end perspective. Therefore, it is relevant to extend configurators with a front-end component assisting customers during product configuration through advisory. We develop a framework describing the main requirements on an advisory system and propose the technical infrastructure for its implementation. Finally, the advisory system and the configurator are integrated into a comprehensive interaction system.product configurators; advisory system; product personalization
IT support to product variety management
Offering to customers a high variety of products while guaranteeing competitive prices and reasonable delivery times is an ever-increasing necessity for companies. At the same time, the growing technological content of products contributes further to this complexity, introducing new challenges to management. As for any area of company activity, the creativity of software producers has brought about the development of information science systems, such as Product Configuration Systems, Product Data Management systems (PDM) and Customer Relationship Management Systems (CRM), which all promise to alleviate the problems caused by this complexity.Product Variety, Product Configuration Systems, Product Data Management Systems, Customer Relationship Management Systems
Enabling Distributed Simulation of OMNeT++ INET Models
Parallel and distributed simulation have been extensively researched for a
long time. Nevertheless, many simulation models are still executed
sequentially. We attribute this to the fact that many of those models are
simply not capable of being executed in parallel since they violate particular
constraints. In this paper, we analyze the INET model suite, which enables
network simulation in OMNeT++, with regard to parallelizability. We uncovered
several issues preventing parallel execution of INET models. We analyzed those
issues and developed solutions allowing INET models to be run in parallel. A
case study shows the feasibility of our approach. Though there are parts of the
model suite that we didn't investigate yet and the performance can still be
improved, the results show parallelization speedup for most configurations. The
source code of our implementation is available through our web site at
code.comsys.rwth-aachen.de.Comment: Published in: A. F\"orster, C. Sommer, T. Steinbach, M. W\"ahlisch
(Eds.), Proc. of 1st OMNeT++ Community Summit, Hamburg, Germany, September 2,
2014, arXiv:1409.0093, 201
McRunjob: A High Energy Physics Workflow Planner for Grid Production Processing
McRunjob is a powerful grid workflow manager used to manage the generation of
large numbers of production processing jobs in High Energy Physics. In use at
both the DZero and CMS experiments, McRunjob has been used to manage large
Monte Carlo production processing since 1999 and is being extended to uses in
regular production processing for analysis and reconstruction. Described at
CHEP 2001, McRunjob converts core metadata into jobs submittable in a variety
of environments. The powerful core metadata description language includes
methods for converting the metadata into persistent forms, job descriptions,
multi-step workflows, and data provenance information. The language features
allow for structure in the metadata by including full expressions, namespaces,
functional dependencies, site specific parameters in a grid environment, and
ontological definitions. It also has simple control structures for
parallelization of large jobs. McRunjob features a modular design which allows
for easy expansion to new job description languages or new application level
tasks.Comment: CHEP 2003 serial number TUCT00
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