Challenges for web simulation science

Taylor, Simon J. E.

doi:10.1109/wsc.2011.6147993

Cited by 3 publications

(5 citation statements)

References 12 publications

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“…The field of Web Science studies this and its emergent complexity (Hendler et al 2008). As argued in Taylor (2011), the Semantic Web may have a significant effect on the methods and tools of Modeling and Simulation (M&S), particularly in terms of model ontologies, discovery, composition, interoperability and reuse. Already new areas are emerging.…”

Section: Web Simulation Sciencementioning

confidence: 99%

“…Note that I use "Web" here in a similar sense of how "Web" is used in Web Science as it studies the vast socio-technological "ecosystems" of the Web as an entity in its own right. I therefore generalize the definition of WSS presented in Taylor (2011) as the study of M&S ecosystems of artifacts, e.g. the relationships between the elements of (large) M&S projects.…”

Section: Web Simulation Sciencementioning

confidence: 99%

“…Resources are virtualized as services consumed on demand (with minimal limitation for resource location). Web-based and distributed simulation techniques have become popular to conduct these online simulations (Taylor 2011). Although Distributed Simulation middleware is now widely use for Defense applications (Page et al 2012), its practical use in non-military applications is still very limited.…”

Section: Ubiquitous Simulation In the Cloud: Simulation Everywherementioning

confidence: 99%

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Panel on grand challenges for modeling and simulation

Taylor¹,

Fujimoto²,

Page³

et al. 2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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It has been a decade since the Workshop on Grand Challenge for Modeling & Simulation (M&S) was held at Dagstuhl in Germany (www.dagstuhl.de/02351). Grand challenges provide a critical focal point for research and development and can potentially create the critical mass needed to bring substantial transformation and benefit to a community. The Workshop addressed a wide variety of M&S theoretical, methodological and technological issues across many application areas. This Panel reflects on progress made since the Workshop, new Grand Challenges that have emerged over the past ten years and key M&S milestones for the next decade.

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Section: Web Simulation Sciencementioning

confidence: 99%

Section: Web Simulation Sciencementioning

confidence: 99%

Section: Ubiquitous Simulation In the Cloud: Simulation Everywherementioning

confidence: 99%

See 1 more Smart Citation

Panel on grand challenges for modeling and simulation

Taylor¹,

Fujimoto²,

Page³

et al. 2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

Self Cite

View full text Add to dashboard Cite

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“…It considers "the emergent complexity of people, organizations and society with regard to M&S artifacts (models, tools, technology, data, etc.) [21] considers that, in a WSS approach, models should adopt hypermodeling principles as expressed in [123]; models should be interconnected, integrated and linked to heterogeneous documents. Hypermodeling allows linking simulation models with other system representations (e.g., geometry data, 3D models, diagrams), with custom representations of the formal model and, to connect them to other with other media.…”

Section: Web Simulation Sciencementioning

confidence: 99%

“…Besides some notable exceptions such as the MS4Me software [20], very few DEVS simulators can be considered to be consumer off the shelf (COTS) software, ready to be used by non-expert users. As noted in [21], it is unlikely that any new approach to simulation will be taken seriously unless it can be packaged as a COTS software.…”

Section: Chapter 1 -Introductionmentioning

confidence: 99%

A Web Based Architecture to Operationalize Geospatial Simulation Environments

St-Aubin¹

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Simulation is inherently multi-disciplinary. It requires knowledge about the system under study, expertise in simulation theory to define models and programming skills to implement models. Geospatial simulation requires an additional layer of expertise in topology, geospatial data structures, spatial analysis, computational geometry, and other related topics. Commercial modeling and simulation software can be used to provide an environment to facilitate simulation studies for users. However, these software tend to be narrowly scoped to specific business applications and tightly couple model and simulator.I am first and foremost grateful to Professor Gabriel Wainer for giving me an opportunity to accomplish my research under his supervision. I would not have successfully completed it without your guidance, mentorship, and dedication. On several occasions in the past 5 years, you were able to express the words of encouragement I needed to keep going. I am also thankful for my colleagues and friends at the Advanced Real-Time

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Interoperable Process Engineering System for Collaborative Optimization of Product Life-Cycle

Armijo

Sorli

Revolutionizing Enterprise Interoperability Through Scientific Foundations

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Most of the industrial organizations, including SMEs, need to quickly react and adapt to the changing market conditions imposed by globalization, such as new sustainability directives or new type of customers. The fulfillment of these requirements on time is a must so as to remain competitive in the global markets. Since data management information systems are already present in almost all the corpus of industrial enterprises as custom developments or standard PLM solutions, the natural technical evolution that aims to provide an effective answer to these changing market conditions comprises the shifting from a data management perspective towards a process management view. Hence, the challenge is how to manage business processes that build upon existing information systems so as to encourage business agility, efficiency, and interoperability. The proposed approach roots on the Business Process Management (BPM) discipline and leverages process optimization through the systematic modeling and reengineering of business processes accompanied by supporting interoperable and configurable eco-services, which are conceived as sustainability-aware services designed to optimize some aspects of the product life-cycle through eco-constraints management.

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Challenges for web simulation science

Cited by 3 publications

References 12 publications

Panel on grand challenges for modeling and simulation

Panel on grand challenges for modeling and simulation

A Web Based Architecture to Operationalize Geospatial Simulation Environments

Interoperable Process Engineering System for Collaborative Optimization of Product Life-Cycle

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