Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation最新文献

A time management optimization framework for large-scale distributed hardware-in-the-loop simulation 大规模分布式半实物仿真时间管理优化框架

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486126

Wei Dong

{"title":"A time management optimization framework for large-scale distributed hardware-in-the-loop simulation","authors":"Wei Dong","doi":"10.1145/2486092.2486126","DOIUrl":"https://doi.org/10.1145/2486092.2486126","url":null,"abstract":"Large-scale distributed HIL(Hardware-In-The-Loop) simulation is an important and indispensable method for testing and verifying complex engineering systems. An important necessary condition for realizing HIL simulation is that the speedup ratio of full-speed simulation must be greater than 1, and satisfying this condition becomes more and more difficult with the ceaselessly increasing scale of simulation. Aiming at the problem how to maximizing the speedup ratio, a time management optimization framework for large-scale distributed HIL simulation is proposed in this paper. Different from other works on performance optimization of HIL simulation, in this paper, the problem is focused on simulation speedup ratio and is considered in the range of analysis simulation, which means causal abnormity is intolerable. According to this goal, a new formal description framework of distributed simulation is given based on the automata theory. Then the basic objective and condition of distributed simulation are formally analyzed, which results in the conclusion that the classical Local Causality Constraint for distributed simulation is only a sufficient condition rather than sufficient and necessary condition. Based on this, the optimization problem for simulation speedup ratio is radically analyzed and the overall strategy for this problem is given. Considering different conditions, two different levels of optimization mechanisms respectively for time advance and task partition are given. And finally, the application and experiment result shows the effectiveness of the proposed method.","PeriodicalId":115341,"journal":{"name":"Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115593528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Designing computational steering facilities for distributed agent based simulations 基于分布式智能体的仿真计算转向工具设计

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486147

G. Cordasco, R. D. Chiara, F. Raia, V. Scarano, Carmine Spagnuolo, Luca Vicidomini

{"title":"Designing computational steering facilities for distributed agent based simulations","authors":"G. Cordasco, R. D. Chiara, F. Raia, V. Scarano, Carmine Spagnuolo, Luca Vicidomini","doi":"10.1145/2486092.2486147","DOIUrl":"https://doi.org/10.1145/2486092.2486147","url":null,"abstract":"Agent-Based Models (ABMs) are a class of models which, by simulating the behavior of multiple agents (i.e., ndependent actions, interactions and adaptation), aim to emulate and/or predict complex phenomena. One of the general features of ABM simulations is their experimental capacity, that requires a viable and reliable infrastructure to interact with a running simulation, monitoring its behaviour, as it proceeds, and applying changes to the configurations at run time, (the computational steering) in order to study \"what if\" scenarios. A common approach for improving the efficiency and the effectiveness of ABMs as a research tool is to distribute the overall computation on a number of machines, which makes the computational steering of the simulation particularly challenging. In this paper, we present the principles and the architecture design of the management and control infrastructure that is available in D-Mason, a framework for implementing distributed ABM simulations. Together with an efficient parallel distribution of the simulation tasks, D-Mason offers a number of facilities to support the computational steering of a simulation, i.e. monitoring and interacting with a running distributed simulation.","PeriodicalId":115341,"journal":{"name":"Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126682569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Grand challenges in modeling and simulation: expanding our horizons 建模和仿真的巨大挑战:拓展我们的视野

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486151

Simon J. E. Taylor, O. Balci, Wentong Cai, M. Loper, D. Nicol, G. Riley

引用次数: 21

Accelerating optimistic HLA-based simulations in virtual execution environments 在虚拟执行环境中加速基于hla的乐观模拟

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486119

Zengxiang Li, Xiaorong Li, T. Duong, Wentong Cai, S. Turner

引用次数: 10

A flexible simulation framework for multicore schedulers: work in progress paper 多核调度器的灵活模拟框架:工作进展论文

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486140

A. Aravind, V. Manickam

引用次数: 0

Session details: Applications: networking and communication 会话详细信息:应用:网络和通信

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/3260230

P. Wilsey

引用次数: 0

Session details: Invited paper 会议详情:邀请论文

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/3260243

Simon J. E. Taylor

引用次数: 0

Hierarchical interest management for distributed virtual environments 分布式虚拟环境的分层兴趣管理

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486110

K. Pan, Xueyan Tang, Wentong Cai, Suiping Zhou, Hanying Zheng

引用次数: 3

TerraME HPA: parallel simulation of multi-agent systems over SMPs TerraME HPA: smp上多智能体系统的并行仿真

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486141

S. C. Silva, T. Carneiro, Joubert de Castro Lima, Rodrigo Reis Pereira

{"title":"TerraME HPA: parallel simulation of multi-agent systems over SMPs","authors":"S. C. Silva, T. Carneiro, Joubert de Castro Lima, Rodrigo Reis Pereira","doi":"10.1145/2486092.2486141","DOIUrl":"https://doi.org/10.1145/2486092.2486141","url":null,"abstract":"Construction of prognoses about environmental changes demands simulations of massive multi-agent models. This work evaluates the hypothesis that the combined use of techniques such as annotation and bag of tasks can result in flexible and scalable platforms for multi-agent simulation. Although these are well known techniques, most environmental modeling platforms use other approaches to provide high performance computing. In general, the approach used is dependent of the modeling paradigm theses platforms implement. We are looking for approaches that can cope with multiple modeling paradigms. To evaluate our hypothesis, the TerraME modeling platform was extended to run over SMPs (Symmetric Multiprocessors) architectures and used in real case studies. While annotation allows modelers to implement different parallelization strategies without prevent models to run over sequential architectures, the bag of tasks provides load balancing over multiprocessors. The results demonstrated that 35% of linear speedup can be obtained for models with high dependence among tasks, when 8 processors are used. Moreover, for models that have low data or control dependencies, around 90% of linear speedup can be obtained.","PeriodicalId":115341,"journal":{"name":"Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115276912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Leveraging symbiotic relationship between simulation and emulation for scalable network experimentation 利用仿真和仿真之间的共生关系进行可扩展的网络实验

Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Pub Date : 2013-05-19 DOI: 10.1145/2486092.2486103

M. Erazo, Jason Liu

{"title":"Leveraging symbiotic relationship between simulation and emulation for scalable network experimentation","authors":"M. Erazo, Jason Liu","doi":"10.1145/2486092.2486103","DOIUrl":"https://doi.org/10.1145/2486092.2486103","url":null,"abstract":"A testbed capable of representing detailed operations of complex applications under diverse large-scale network conditions can be extremely helpful for investigating potential system design and implementation problems, and studying application performance issues, such as scalability and robustness, even before the applications are deployed in a real environment. We introduce a novel method that combines high-performance large-scale network simulation and high-fidelity network emulation, and thereby enables real instances of network applications and protocols to run in real operating environments, and be tested under large-scale simulated network settings. In our approach, network simulation and emulation form a symbiotic relationship, through which they are synchronized for an accurate representation of the large-scale traffic behavior. We introduce a model downscaling method, along with an efficient queuing model and a traffic reproduction technique, which can significantly reduce the synchronization overhead and improve computational efficiency, while maintaining the accuracy of the system. We validate our approach with extensive experiments via simulation and with a real-system prototype.","PeriodicalId":115341,"journal":{"name":"Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121221318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15