Relevant bibliographies by topics / Distributed systems modeling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distributed systems modeling'

Author: Grafiati
Published: 28 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Distributed systems modeling"

1

Hac, Anna. "Modeling distributed file systems." ACM SIGMETRICS Performance Evaluation Review 19, no. 4 (May 1992): 22–27. http://dx.doi.org/10.1145/140728.140729.

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Herzberg, D., and M. Broy. "Modeling layered distributed communication systems." Formal Aspects of Computing 17, no. 1 (October 29, 2004): 1–18. http://dx.doi.org/10.1007/s00165-004-0051-8.

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Zheng, Hong, Yu Yue Du, and Yu ShuXia. "Modeling Non-Repudiation in Distributed Systems." Information Technology Journal 7, no. 1 (December 15, 2007): 228–30. http://dx.doi.org/10.3923/itj.2008.228.230.

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Basta, Robert A., Bruce P. Kraemer, Walter P. Bond, and Thomas J. Billhartz. "Distributed Communication Network Systems Performance Modeling." INCOSE International Symposium 2, no. 1 (July 1992): 365–72. http://dx.doi.org/10.1002/j.2334-5837.1992.tb01515.x.

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Bogolyubov, A. N., A. I. Erokhin, and M. I. Svetkin. "Mathematical modeling of systems with distributed interaction." Физические основы приборостроения 8, no. 1 (March 15, 2019): 13–19. http://dx.doi.org/10.25210/jfop-1901-013019.

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Boldrin, Fabio, Chiara Taddia, and Gianluca Mazzini. "Web Distributed Computing Systems Implementation and Modeling." International Journal of Adaptive, Resilient and Autonomic Systems 1, no. 1 (January 2010): 75–91. http://dx.doi.org/10.4018/jaras.2010071705.

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This article proposes a new approach for distributed computing. The main novelty consists in the exploitation of Web browsers as clients, thanks to the availability of JavaScript, AJAX and Flex. The described solution has two main advantages: it is client-free, so no additional programs have to be installed to perform the computation, and it requires low CPU usage, so client-side computation is no invasive for users. The solution is developed using both AJAX and Adobe®Flex® technologies embedding a pseudo-client into a Web page that hosts the computation. While users browse the hosting Web page, computation takes place resolving single sub-problems and sending the solution to the server-side part of the system. Our client-free solution is an example of high resilient and auto-administrated system that is able to organize the scheduling of the processes and the error management in an autonomic manner. A mathematical model has been developed over this solution. The main goals of the model are to describe and classify different categories of problems on the basis of the feasibility and to find the limits in the dimensioning of the scheduling systems to have convenience in the use of this approach. The new architecture has been tested through different performance metrics by implementing two examples of distributed computing, the cracking of an RSA cryptosystem through the factorization of the public key and the correlation index between samples in genetic data sets. Results have shown good feasibility of this approach both in a closed environment and also in an Internet environment, in a typical real situation.
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De Decker, B., and P. Verbaeten. "Modeling distributed systems: Communication issues in Hermix." Microprocessing and Microprogramming 25, no. 1-5 (January 1989): 239–43. http://dx.doi.org/10.1016/0165-6074(89)90202-0.

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Kuske, Sabine, and Peter Knirsch. "Modeling Agent Systems with Distributed Transformation Units." Electronic Notes in Theoretical Computer Science 82, no. 7 (June 2003): 79–90. http://dx.doi.org/10.1016/s1571-0661(04)80748-5.

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Vega, M. P., E. L. Lima, and J. C. Pinto. "Modeling Lumped-Distributed Systems Using Neural Networks." IFAC Proceedings Volumes 33, no. 10 (June 2000): 803–8. http://dx.doi.org/10.1016/s1474-6670(17)38638-x.

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Helmicki, A. J., C. A. Jacobson, and C. N. Nett. "Control-Oriented Modeling of Distributed Parameter Systems." Journal of Dynamic Systems, Measurement, and Control 114, no. 3 (September 1, 1992): 339–46. http://dx.doi.org/10.1115/1.2897353.

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In this paper the use of linear, time-invariant, distributed parameter systems (LTI-DPS) as models of physical processes is considered from a control viewpoint. Specifically, recent theoretical results obtained by the authors for the control-oriented modeling of LTI-DPS are concisely reviewed and then a series of applications is given in order to illustrate the practical ramifications of these results.
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Dissertations / Theses on the topic "Distributed systems modeling"

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Cross, Patrick L. "Fuzzy reliability modeling of distributed client-server systems." Morgantown, W. Va. : [West Virginia University Libraries], 1998. http://etd.wvu.edu/templates/showETD.cfm?recnum=149.

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Dzimano, Gwinyai J. "Modeling Of Photovoltaic Systems." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1228307443.

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Segala, Roberto. "Modeling and verification of randomized distributed real-time systems." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36560.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
Includes bibliographical references (p. 267-274) and index.
by Roberto Segala.
Ph.D.
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Seitz, Timothy M. "Modeling and Robust Stability of Advanced, Distributed Control Systems." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1497201155817062.

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Luo, Yang. "Performance modeling and load balancing for Distributed Java Virtual Machine." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41509043.

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Luo, Yang, and 羅陽. "Performance modeling and load balancing for Distributed Java Virtual Machine." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41509043.

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Lin, Yi-Tzer. "Modeling and analysis for message reachability in distributed manufacturing systems." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/24292.

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Alipourazadi, Shahram. "New approaches to linear graph modeling of distributed-parameter systems." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/41896.

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Analytical modeling is an important fundamental step in the development of procedures such as simulation, design, control, and health monitoring of engineering systems. Typically, physical properties such as inertia, flexibility (or stiffness), capacitance, inductance, and energy dissipation (mechanical damping or electrical resistance) are spatially distributed in a physical dynamic system. Often in dynamic models, these characteristics are approximated by spatially “lumped” elements. For better accuracy, however, the true distributed nature of these parameters has to be incorporated into the model. Distributed parameter (DP) models are important in this context. This thesis concerns the representation of distributed parameter engineering systems using linear graphs (LG). Among possible approaches for modeling of engineering systems, linear graphs are used in the present work due to its numerous advantages as discussed in the thesis. An engineering system may possess physical properties in many domains such as mechanical, electrical, thermal, and fluid. Mechatronic systems are multi-domain systems, which typically possess at least electro-mechanical characteristics. Linear graphs present a domain-independent unified approach for modeling multi-domain systems. Furthermore, linear graphs have beneficial features in the development of automatic procedures for modeling and designing engineering systems, which are long-term goals of the present work. In this thesis, approaches are developed for the representation of distributed-parameter systems as LG models. Different approaches are presented for this purpose and compared. The LG modeling approach enables one to visualize the system structure before formulating the dynamic equations of the system. For example, for a DP system the structure of its LG model may possess a well-defined pattern. In this work, vector linear graphs are introduced to take advantage of these patterns. General notations and elements are defined for vector linear graphs. As a result of this development a new single element is generated for use in the modeling of distributed-parameter systems, particularly in the mechanical domain. In this thesis, a software toolbox is enhanced and presented for LG modeling, which is able to automatically extract the state space equations of a mechatronic system. This software tool is provided free for academic use and is accessible through the Internet. Throughout the thesis many comprehensive examples are provided to illustrate the developed concepts and procedures and their application.
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Jung, Jin Woo. "Modeling and control of fuel cell based distributed generation systems." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1116451881.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xvi, 209 p.; also includes graphics. Includes bibliographical references (p. 202-209). Available online via OhioLINK's ETD Center
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Robinson, Kevin Michael. "Modeling of Distributed Naval Ship Systems using Architecture Flow Optimization." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83884.

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Successful future surface combatants in the US Navy must embrace the growing integration and interdependency of propulsive and combat systems. Traditionally, the development of Hull, Mechanical and Electrical systems has been segregated from the development of weapons and sensors. However, with the incorporation of high energy weapons into future ship configurations, ship design processes must evolve to embrace the concept of a System of Systems being the only way to achieve affordable capability in our future fleets. This thesis bridges the gap between the physical architecture of components within a ship and the way in which they are logically connected to model the energy flow through a representative design and provide insight into sizing requirements of both system components and their connections using an Architecture Flow Optimization (AFO). This thesis presents a unique method and tool to optimize naval ship system logical and physical architecture considering necessary operational conditions and possible damage scenarios. The particular and unique contributions of this thesis are: 1) initially only energy flow is considered without explicit consideration of commodity flow (electric, mechanical, chilled water, etc.), which is calculated in post-processing; 2) AFO is applied to a large and complex naval surface combatant system of systems, demonstrating its scalability; 3) data necessary for the AFO is extracted directly from a naval ship synthesis model at a concept exploration level of detail demonstrating its value in early stage design; and 4) it uses network-based methods which make it adaptable to future knowledge-based network analysis methods and approaches.
Master of Science
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Books on the topic "Distributed systems modeling"

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Distributed hydrologic modeling using GIS. Dordrecht: Kluwer Academic Publishers, 2001.

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Li, Han-Xiong, and Chenkun Qi. Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0741-2.

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Munir, Arslan, Ann Gordon-Ross, and Sanjay Ranka. Modeling and Optimization of Parallel and Distributed Embedded Systems. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119086383.

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North, Michael J. Managing business complexity: Discovering strategic solutions with agent-based modeling and simulation. New York: Oxford University Press, 2006.

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Marinos, Loudovikos. A corporate architecture and object oriented modeling substrate for distributed heterogeneous information systems. München: R. Oldenbourg, 1991.

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Chenkun, Qi, and SpringerLink (Online service), eds. Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach. Dordrecht: Springer Netherlands, 2011.

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Robert, Signorile, Wilsey Philip A. 1958-, Landauer Christopher, Bellman Kirstie L, Society for Computer Simulation, International Conference on Virtual Worlds and Simulation Conference (2000 : San Diego, Calif.), and Western MultiConference (2000 : San Diego, Calif.), eds. Proceedings of the International Conference on Web-based Modeling and Simulation. San Diego, CA: Society for Computer Simulation International, 2000.

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NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems (1992 Williamsburg, Va.). NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C. and held in Williamsburg, Virginia, June 8-10, 1992. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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Fokkink, Wan. Modelling distributed systems. Berlin: Springer, 2007.

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Calif.) CNDS 2000 (2000 San Diego. Proceedings of the Communication Networks and Distributed Systems Modeling and Simulation (CNDS 2000): 2000 Western MultiConference, San Diego, California, January 23-27, 2000, Catamaran Resort Hotel. San Diego, Calif: Society for Computer Simulation, 2000.

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Book chapters on the topic "Distributed systems modeling"

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Börger, Egon, and Alexander Raschke. "Modeling Distributed Systems." In Modeling Companion for Software Practitioners, 207–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56641-1_6.

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Igarza, Jean-Louis. "Distributed Simulation." In Simulation and Modeling of Systems of Systems, 295–332. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118616727.ch7.

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Ölveczky, Peter Csaba. "Modeling Communication in Maude." In Designing Reliable Distributed Systems, 183–98. London: Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-6687-0_11.

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Melnik, Sergey. "Declarative Mediation in Distributed Systems." In Conceptual Modeling — ER 2000, 66–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45393-8_6.

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Mermoud, Grégory. "Fundamentals of Modeling." In Stochastic Reactive Distributed Robotic Systems, 59–79. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02609-1_5.

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Pan, Anqun, Xiaoyu Wang, and Haixiang Li. "Conceptual Modeling on Tencent’s Distributed Database Systems." In Conceptual Modeling, 12–24. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00847-5_3.

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Ölveczky, Peter Csaba. "Modeling and Analyzing Transport Protocols." In Designing Reliable Distributed Systems, 199–210. London: Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-6687-0_12.

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Ölveczky, Peter Csaba. "Modeling Distributed Systems in Rewriting Logic." In Designing Reliable Distributed Systems, 127–44. London: Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-6687-0_8.

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Joshi, Rushikesh K. "Modeling with Filter Objects in Distributed Systems." In Engineering Distributed Objects, 182–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45254-0_16.

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Goodchild, Michael F. "Introduction: Modeling in Distributed Environments." In Interoperating Geographic Information Systems, 133–34. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5189-8_11.

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Conference papers on the topic "Distributed systems modeling"

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Kiniry, Joseph. "Modeling dynamic/emergent distributed object systems." In Addendum to the 1998 proceedings of the conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/346852.346954.

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Rak, Tomasz, and Slawomir Samolej. "Distributed Internet systems modeling using TCPNs." In 2008 International Multiconference on Computer Science and Information Technology (IMCSIT). IEEE, 2008. http://dx.doi.org/10.1109/imcsit.2008.4747298.

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Meyer, Jan Christian, and Anne Cathrine Elster. "Performance modeling of heterogeneous systems." In Distributed Processing, Workshops and Phd Forum (IPDPSW). IEEE, 2010. http://dx.doi.org/10.1109/ipdpsw.2010.5470682.

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Choo, Ting Ah, Azuraliza Abu Bakar, Amin Benjavad Talebi, Elankovan Sundararajan, and Mahathir Rahmany. "Classification modeling on distributed environment." In 2013 IEEE Conference on Open Systems (ICOS). IEEE, 2013. http://dx.doi.org/10.1109/icos.2013.6735076.

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Pakmehr, Mehrdad, Nathan Fitzgerald, George Kiwada, James Paduano, Eric Feron, and Alireza Behbahani. "Distributed Modeling and Control of Turbofan Systems." In AIAA Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-6271.

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He Liu, Xiaojun Liu, and E. A. Lee. "Modeling distributed hybrid systems in Ptolemy II." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.945773.

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Maglogiannis, Ilias, and Elias Zafiropoulos. "Modeling Risk in Distributed Healthcare Information Systems." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260351.

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Maglogiannis, Ilias, and Elias Zafiropoulos. "Modeling Risk in Distributed Healthcare Information Systems." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398687.

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Verkhova, Galina V., Sergei V. Akimov, and Sergei P. Prisyazhnyuk. "Distributed Multi-agent Modeling of Complex Systems." In 2021 XXIV International Conference on Soft Computing and Measurements (SCM). IEEE, 2021. http://dx.doi.org/10.1109/scm52931.2021.9507194.

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Zhang, Ming-Bo. "Distributed Fusion Kalman Self-turning Filter." In 2nd International Conference On Systems Engineering and Modeling. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/icsem.2013.85.

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Reports on the topic "Distributed systems modeling"

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Walter, C. J., and M. C. McElvany. Reliability Modeling of Dependable Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada239734.

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Banks, H. T. Modeling and Control in Distributed Parameter Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada346461.

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Banks, H. T. Modeling, Inverse Problems and Feedback Control for Distributed Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada387505.

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Fitzpatrick, Ben G. Statistical Techniques for Modeling, Estimation and Optimization in Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada383799.

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Lynch, Nancy A., Laurent D. Michel, and Alexander A. Shvartsman. An Extensible and Scalable Framework for Formal Modeling, Analysis, and Development of Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2008. http://dx.doi.org/10.21236/ada586708.

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Smith, Bradley W. Distributed Computing for Signal Processing: Modeling of Asynchronous Parallel Computation. Appendix G. On the Design and Modeling of Special Purpose Parallel Processing Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1985. http://dx.doi.org/10.21236/ada167622.

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Kang, Ning, Ravindra Singh, James T. Reilly, and Nicole Segal. Impact of Distributed Energy Resources on the Bulk Electric System Combined Modeling of Transmission and Distribution Systems and Benchmark Case Studies. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1433502.

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Davis, M. W., R. Broadwater, and J. Hambrick. Modeling and Verification of Distributed Generation and Voltage Regulation Equipment for Unbalanced Distribution Power Systems; Annual Subcontract Report, June 2007. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/912491.

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Steward, D., M. Penev, G. Saur, W. Becker, and J. Zuboy. Fuel Cell Power Model Version 2: Startup Guide, System Designs, and Case Studies. Modeling Electricity, Heat, and Hydrogen Generation from Fuel Cell-Based Distributed Energy Systems. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1087789.

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Chakraborty, S., B. Kroposki, and W. Kramer. Advanced Power Electronic Interfaces for Distributed Energy Systems, Part 2: Modeling, Development, and Experimental Evaluation of Advanced Control Functions for Single-Phase Utility-Connected Inverter. Office of Scientific and Technical Information (OSTI), November 2008. http://dx.doi.org/10.2172/944500.

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