2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)最新文献_第2页

Power Estimation of an ECDSA Core Applied in V2X Scenarios Using Heterogeneous Distributed Simulation 基于异构分布式仿真的V2X场景ECDSA核心功率估算

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.35

Harald Bucher, Alexander Klimm, O. Sander, J. Becker

{"title":"Power Estimation of an ECDSA Core Applied in V2X Scenarios Using Heterogeneous Distributed Simulation","authors":"Harald Bucher, Alexander Klimm, O. Sander, J. Becker","doi":"10.1109/DS-RT.2015.35","DOIUrl":"https://doi.org/10.1109/DS-RT.2015.35","url":null,"abstract":"Embedded systems are steadily growing in complexity and nowadays power consumption additionally plays an important role. Designing and exploring such systems embedded in its environment demand for holistic and efficient simulations. In this work we use a simulation framework based on the HLA (High-Level Architecture) and the modeling tool Ptolemy II to enable complex heterogeneous distributed simulations of embedded systems. In this context, we introduce a co-simulation based power estimation approach by integrating domain-specific simulators as well as off-the-shelf HDL simulator and synthesis tools. This enables cross-domain interaction and generation of realistic on-the-fly stimuli data for Register Transfer Level and Gate Level models as well as the gathering of power estimation data. We apply the framework to a Vehicle-2-X scenario evaluating an ECDSA signature processing core which ensures trustworthiness in vehicular wireless networks. To evaluate dynamic power reduction possibilities on application level we additionally introduce a V2X Message Evaluation technique to reduce signature verification efforts. It shows how realistic on-the-fly stimuli data obtained by the framework can improve the exploration and estimation of dynamic power consumption.","PeriodicalId":207275,"journal":{"name":"2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"81 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545631","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: 2

An Empirical Study of Energy Consumption in Distributed Simulations 分布式仿真中能量消耗的实证研究

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.32

R. Fujimoto, A. Biswas

引用次数: 13

Toward Scalable Emulation of Future Internet Applications with Simulation Symbiosis 面向未来互联网应用的可扩展仿真与仿真共生

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.19

Jason Liu, C. Marcondes, Musab Ahmed, Rong Rong

引用次数: 6

Adaptive Human Behavior Modeling for Air Combat Simulation 面向空战仿真的自适应人的行为建模

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.12

Jian Yao, Qiwang Huang, Weiping Wang

{"title":"Adaptive Human Behavior Modeling for Air Combat Simulation","authors":"Jian Yao, Qiwang Huang, Weiping Wang","doi":"10.1109/DS-RT.2015.12","DOIUrl":"https://doi.org/10.1109/DS-RT.2015.12","url":null,"abstract":"Military simulations, especially those for personnel training and equipment effectiveness analysis, require proper human behavior models (HBMs) to play blue or red. Traditionally, the HBMs are controlled through rule based scripts. However, the doctrine-driven behavior is rigid and predictable, and more often than not unable to adapt to new situations. In most cases, the subject matter experts (SMEs) review, re-design a large amount of HBM scripts for new scenarios or training tasks, which is challenging and time-consuming. Therefore, a study of using Grammatical Evolution (GE) to generate adaptive HBMs for air combat simulation is conducted in this work. Expert knowledge is encoded with modular behavior trees (BTs) for the compatibility with the operators in genetic algorithm (GA). GE maps HBMs represented with BTs to binary strings, and uses GA to evolve HBMs with the performance fed back from simulation. Beyond visual range air combat experiments between adaptive HBMs and none-adaptive baseline HBMs are conducted to study the evolutionary process. The experimental results show that the GE is an efficient framework to generate adaptive HBMs in BTs formalism and evolve them with GA.","PeriodicalId":207275,"journal":{"name":"2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133964387","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: 9

Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection 多目标城市战术阵地选择的意见聚合优化

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.22

Kai Xu, Lin Sun, Quanjun Yin

{"title":"Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection","authors":"Kai Xu, Lin Sun, Quanjun Yin","doi":"10.1109/DS-RT.2015.22","DOIUrl":"https://doi.org/10.1109/DS-RT.2015.22","url":null,"abstract":"In this research-in-progress paper we present a new real-world domain for studying the aggregation of different opinions: optimal urban tactical position selection (TPS). This is an important and foreseeable real world application, not only because cities have been viewed as centers of gravity by military planners throughout history, but also because the military significance of cities has increased proportionally as the global urbanization does. We first present a mapping between the domain of engineering research and that of the agent models present in the literature and use genetic multi-objective optimization method to generate Pareto TPS plans. Further we study the importance of forming diverse teams when aggregating opinions of different problem solvers for tactical position selection, and also the relationships of the number of problem solvers with time ratio and the solution efficiency. We show that a diverse team of problem solvers is able to provide better force deployment plans for early-stage decision makers to choose from. We also find that opinion aggregation methods, like approval voting, help to allocate a difficult problem solving among several computing resources, and at the same time ensuring the efficiency of solutions. Finally, we present next steps for a deeper exploration of our questions.","PeriodicalId":207275,"journal":{"name":"2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054111","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: 0

Targeted Extraction of Simulation Data 仿真数据的目标提取

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.37

Johannes Schützel, A. Uhrmacher

{"title":"Targeted Extraction of Simulation Data","authors":"Johannes Schützel, A. Uhrmacher","doi":"10.1109/DS-RT.2015.37","DOIUrl":"https://doi.org/10.1109/DS-RT.2015.37","url":null,"abstract":"Since simulation is a tool for generating data, a major task in executing simulations is to extract data from simulation runs. However, traditional methods of data extraction such as instrumenting the model code by hand or over-instrumenting the model and filtering data offline suffer from inflexibility and poor efficiency. To overcome these shortcomings, this paper promotes configurable targeted online data extraction, which also has special relevance in the field of real-time simulation. Nevertheless, there is no common terminology for the range of functions for targeted data extraction and there is no common concept for the implementation of flexible and efficient solutions. By decomposing the data extraction problem and by formalizing generalizable parts, this paper provides a conceptional framework for the assessment and implementation of language-based data extraction solutions. It turns out that data extraction can be decomposed into a sequential and a structural dimension, both of which having operations for selection, extraction, and windowed aggregation. As a proof of concept, the functionality of existing data extraction languages is analyzed using the proposed terminology.","PeriodicalId":207275,"journal":{"name":"2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114560128","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: 2

A WordNet-Based Parameter Configuration Assistance Technology in Simulation Application 基于wordnet的参数配置辅助技术在仿真中的应用

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.27

F. Yao, Yiping Yao

引用次数: 0

Towards an Info-Symbiotic Decision Support System for Disaster Risk Management 面向灾害风险管理的信息共生决策支持系统

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.26

Ibad Kureshi, G. Theodoropoulos, E. Mangina, G. O’hare, J. Roche

引用次数: 14

Towards an Efficient Multi-way Factorization of Multi-dimensional Big Data across a GPU Cluster 基于GPU集群的多维大数据高效多路分解研究

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.17

Yangyang Hu, Lizhe Wang, Yingze Liu, Dan Chen, Xiaoli Li

{"title":"Towards an Efficient Multi-way Factorization of Multi-dimensional Big Data across a GPU Cluster","authors":"Yangyang Hu, Lizhe Wang, Yingze Liu, Dan Chen, Xiaoli Li","doi":"10.1109/DS-RT.2015.17","DOIUrl":"https://doi.org/10.1109/DS-RT.2015.17","url":null,"abstract":"It has long been an important issue in various disciplines to examine massive multi-dimensional data by extracting the embedded multi-way factors. With the quick increases in both scales and dimensions of data under analysis, research challenges arise in order to reflect the dynamics of large-scale tensors while introducing no significant distortions in the factorization procedure in sophisticated applications. A massively parallel computing framework, namely H-PARAFAC, has been developed to enable Parallel Factor Analysis (PARAFAC) of massive tensors upon a \"divide-and-conquer\" theory (a modified alternating least squares approach). The hierarchical framework incorporates a coarse-grained model for coordinating the processing of sub tensors and a fine-grained parallel model for computing each sub tensor and fusing sub-factors. Experiments have been performed on a GPU cluster, and the results indicate that (1) the proposed method breaks the limitation on the size of data to be factorized, and (2) it dramatically outperforms the traditional counterparts in terms of both scalability and efficiency, e.g., The runtime increases linearly with the data volume increases in the order of n3.","PeriodicalId":207275,"journal":{"name":"2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124181090","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

A State-Centered Multi-formalism Behavioral Modeling Method for Combat System Effectiveness Simulation 一种以状态为中心的作战系统效能仿真多形式行为建模方法

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Pub Date : 2015-10-14 DOI: 10.1109/DS-RT.2015.13

Xiaobo Li, Weiping Wang, Ning Zhu, Hua He, Yonglin Lei

引用次数: 0