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Filters: Author is Christopher Hannon, Illinois Institute of Technology  [Clear All Filters]
2019-01-10
Christopher Hannon, Illinois Institute of Technology, Nandakishore Santhi, Los Alamos National Laboratory, Stephan Eidenbenz, Los Alamos National Laboratory, Jason Liu, Florida International University, Dong Jin, Illinois Institute of Technology.  2018.  Just-In-Time Parallel Simulation. 2018 Winter Simulation Conference (WSC).

Due to the evolution of programming languages, interpreted languages have gained widespread use in scientific and research computing. Interpreted languages excel at being portable, easy to use, and fast in prototyping than their ahead-of-time (AOT) counterparts, including C, C++, and Fortran. While traditionally considered as slow to execute, advancements in Just-in-Time (JIT) compilation techniques have significantly improved the execution speed of interpreted languages and in some cases outperformed AOT languages. In this paper, we explore some challenges and design strategies in developing a high performance parallel discrete event simulation engine, called Simian, written with interpreted languages with JIT capabilities, including Python, Lua, and Javascript. Our results show that Simian with JIT performs similarly to AOT simulators, such as MiniSSF and ROSS. We expect that with features like good performance, userfriendliness, and portability, the just-in-time parallel simulation will become a common choice for modeling and simulation in the near future.
 

2018-10-15
Christopher Hannon, Illinois Institute of Technology, Jiaqi Yan, Illinois Institute of Technology, Dong Jin, Illinois Institute of Technology, Chen Chen, Argonne National Laboratory, Jianhui Wang, Argonne National Laboratory.  2018.  Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation. CM Transactions on Modeling and Computer Simulation (TOMACS) – Special Issue on PADS. 28(4)

Software-defined networking (SDN) enables efficient networkmanagement. As the technology matures, utilities are looking to integrate those benefits to their operations technology (OT) networks. To help the community to better understand and evaluate the effects of such integration, we develop DSSnet, a testing platform that combines a power distribution system simulator and an SDN-based network emulator for smart grid planning and evaluation. DSSnet relies on a container-based virtual time system to achieve efficient synchronization between the simulation and emulation systems. To enhance the system scalability and usability, we extend DSSnet to support a distributed controller environment. To enhance system fidelity, we extend the virtual time system to support kernel-based switches. We also evaluate the system performance of DSSnet and demonstrate the usability of DSSnet with a resilient demand response application case study.