A necessary paradigm change to enable composable cloud-based M&S services

Cloud-based M&S can have many forms, from hardware as a service or cloud-based data for M&S applications to providing M&S as a service. In order to be able to compose such cloud-based M&S services, these services not only need to be able to exchange data and use such exchanged data, they also must represent truth consistently. Current paradigms are not sufficient to support these requirements. In this paper, a new paradigm is proposed that uses mobile propertied concepts to support consistent simulations using composable cloud-based M&S services. Mobile Propertied Agents (MPA) will utilize a floating middleware to establish an event-cloud orchestrated by a truth control layer. The result is a flexible Event Service Bus that ensure the consistent representation of truth in all systems connected to the event cloud, thus ensuring interoperability and composability by design in this cloud-based M&S environment.

[1]  Frank Dignum,et al.  Towards Agents for Policy Making , 2009, MABS.

[2]  P. Lorenz,et al.  Towards A Web Based Simulation Environment , 1997, Winter Simulation Conference Proceedings,.

[3]  Erdal Cayirci,et al.  Configuration schemes for modeling and simulation as a service federation , 2013, Simul..

[4]  Steven C. Gordon.  Grand challenges in modeling and simulation , 2002, SPIE Defense + Commercial Sensing.

[5]  Thomas Erl,et al.  SOA Design Patterns , 2008 .

[6]  Steffen Straßburger,et al.  Internet-based simulation using off-the-shelf simulation tools and HLA , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[7]  Saurabh Mittal,et al.  Netcentric System of Systems Engineering with DEVS Unified Process , 2013 .

[8]  F. Al-Shamali,et al.  Author Biographies. , 2015, Journal of social work in disability & rehabilitation.

[9]  Rajkumar Buyya,et al.  CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms , 2011, Softw. Pract. Exp..

[10]  Andreas Tolk,et al.  Evaluating the applicability of cloud computing enterprises in support of the next generation of modeling and simulation architectures , 2013, ANSS 2013.

[11]  Simon J. E. Taylor,et al.  Modeling and simulation grand challenges: An OR/MS perspective , 2013, 2013 Winter Simulations Conference (WSC).

[12]  Don Brutzman,et al.  Extensible Modeling & Simulation Framework (XMSF). XMSF 2002 Findings and Recommendations Report: Technical Challenges Workshop and Strategic Opportunities Symposium , 2002 .

[13]  Leslie S. Winters,et al.  Composable M&S Web Services for Net-Centric Applications , 2006 .

[14]  Andreas Tolk,et al.  Reference modelling in support of M&S—foundations and applications , 2013, J. Simulation.

[15]  Bernard P. Zeigler,et al.  Theory of modeling and simulation , 1976 .

[16]  José Luis Risco-Martín,et al.  Model-driven systems engineering for netcentric system of systems with DEVS unified process , 2013, 2013 Winter Simulations Conference (WSC).

[17]  Charles D. Turnitsa.  Conceptual modeling for composition of model-based complex systems , 2011 .

[18]  Gabriel A. Wainer,et al.  Panel on grand challenges for modeling and simulation , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

[19]  Paul F. Reynolds,et al.  Consistency maintenance in multiresolution simulation , 1997, TOMC.

[20]  Ray J. Paul,et al.  Web-based simulation: revolution or evolution? , 2000, TOMC.

[21]  Asad Malik,et al.  Optimistic Synchronization of Parallel Simulations in Cloud Computing Environments , 2009, 2009 IEEE International Conference on Cloud Computing.

[22]  Erdal Cayirci,et al.  Modeling and simulation as a cloud service: A survey , 2013, 2013 Winter Simulations Conference (WSC).

[23]  Andy Bowers,et al.  Joint Staff J7 environment development support for NATO simulation activities , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

[24]  Frank Martinez,et al.  Event-Driven Architecture: How SOA Enables the Real-Time Enterprise , 2009 .

[25]  Andreas Tolk,et al.  Interoperability, Composability, and Their Implications for Distributed Simulation: Towards Mathematical Foundations of Simulation Interoperability , 2013, 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications.

[26]  Chunming Rong,et al.  Intercloud for simulation federations , 2011, 2011 International Conference on High Performance Computing & Simulation.

[27]  Cathal Heavey,et al.  A review of Web-based simulation and supporting tools , 2010, Simul. Model. Pract. Theory.

[28]  Levent Yilmaz,et al.  Grand challenges on the theory of modeling and simulation , 2013, SpringSim.

[29]  Alvin S. Lim,et al.  Requirements and design principles for multisimulation with multiresolution, multistage multimodels , 2007, 2007 Winter Simulation Conference.

[30]  Il-Chul Moon,et al.  Theoretic interplay between abstraction, resolution, and fidelity in model information , 2013, 2013 Winter Simulations Conference (WSC).

[31]  Bernard P. Zeigler,et al.  Theory of Modelling and Simulation , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[32]  Don Brutzman,et al.  Extensible modeling and simulation framework (XMSF) 2004 project summary report , 2005 .

[33]  Ernest H. Page,et al.  Toward a Family of Maturity Models for the Simulation Interconnection Problem , 2004 .