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10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011

作者： Decraene, James Lee, Yew Ti Zeng, Fanchao Chandramohan, Mahinthan Cheng, Yong Yong Low, Malcolm Yoke Hean Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781618391018

We present CASE (complex adaptive systems evolver), a framework devised to conduct the design of agent-based simulation experiments using evolutionary computation techniques. This framework enables one to optimize complex agent-based systems, to exhibit pre-specified behavior of interest, through the use of multi-objective evolutionary algorithms and cloud computing facilities. Copyright © 2011, International Foundation for Autonomous Agents and Multiagent Systems (***). All rights reserved.

关键词： Design of experiments

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An energy-efficient scheduling algorithm for sporadic real-time tasks in multiprocessor systems

An energy-efficient scheduling algorithm for sporadic real-t...

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13th IEEE International Workshop on FTDCS 2011, the 8th International Conference on ATC 2011, the 8th International Conference on UIC 2011 and the 13th IEEE International Conference on HPCC 2011

作者： Zhang, Dong-Song Chen, Fang-Yuan Li, Hong-Hua Jin, Shi-Yao Guo, De-Ke National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China School of Computing Science Simon Fraser University 8888 University Drive Burnaby BC V5A 1S6 Canada National Laboratory for Information System Engineering School of Information Systems and Management National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769545387

As the energy consumption of embedded multiprocessor systems becomes increasingly prominent, the real-time energy-efficient scheduling in multiprocessor systems becomes an urgent problem to reduce the system energy consumption while meeting real-time constraints. For a multiprocessor with independent DVFS and DPM at each processor, this paper proposes an energy-efficient real-time scheduling algorithm named LRE-DVFS-EACH, based on LRE-TL which is an optimal real-time scheduling algorithm for sporadic tasks. LRE-DVFS-EACH utilizes the concept of TL plane and the idea of fluid scheduling to dynamically scale the voltage and frequency of processors at the initial time of each TL plane as well as the release time of a sporadic task in each TL plane. Consequently, LRE-DVFS-EACH can obtain a reasonable tradeoff between the real-time constraints and the energy saving. LRE-DVFS-EACH is also adaptive to the change of workload caused by the dynamic release of sporadic tasks, which can obtain more energy savings. The experimental results show that compared with existing algorithms, LRE-DVFS-EACH can not only guarantee the optimal feasibility of sporadic tasks, but also achieve more energy savings in all cases, especially in the case of high workloads. © 2011 IEEE.

关键词： Real time systems

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An Energy-Efficient Scheduling Algorithm for Sporadic Real-Time Tasks in Multiprocessor Systems

An Energy-Efficient Scheduling Algorithm for Sporadic Real-T...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Dong-Song Zhang Fang-Yuan Chen Hong-Hua Li Shi-Yao Jin De-Ke Guo National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China School of Computing Science Simon Fraser University Burnaby BC Canada National Laboratory for Information System Engineering School of Information Systems and Management National University of Defense Technology Changsha China

关键词： Real time systems Scheduling algorithm Time frequency analysis Scheduling Heuristic algorithms Power demand

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011年 6844 LNCS卷 VI页

作者： Dehne, Frank Iacono, John Sack, Jörg-Rüdiger Carleton University School of Computer Science Parallel Computing and Bioinformatics Laboratory 1125 Colonel By Drive Ottawa ON K1S 5B6 Canada Polytechnic Institute of New York University Department of Computer Science and Engineering 5 MetroTech. Center New York NY 11201 United States Carleton University School of Computer Science Herzberg Laboratories 1125 Colonel By Drive Ottawa ON K1S 5B6 Canada

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Research advances in Automated Red Teaming 10

Research advances in Automated Red Teaming

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Proceedings of the 2010 Spring Simulation Multiconference

作者： Decraene, James Zeng, Fanchao Low, Malcolm Yoke Hean Zhou, Suiping Cai, Wentong Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)9781450300698

We present, combine and apply novel research advances to Automated Red Teaming (ART). ART is an automated vulnerability assessment tool which is employed to uncover the hard-to-predict and potentially critical elements of military operations. ART is principally based on the use of agent-based modelling/simulation, data farming and evolutionary computation. In this paper, we present two distinct computational methods to address multiple issues of ART: constraint handling and computing budget. These novel techniques originate from the research fields of evolutionary computation and cloud computing. These techniques are applied to a military toy model which was developed with the agent-based simulation platform MANA. We then discuss another potential bottleneck of ART: many-objective optimization. The aim of this research is to optimize ART to best assist defense experts in operational analysis and, ultimately, in critical decision making. © 2010 SCS.

关键词： Decision making

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A hybrid interest management mechanism for peer-to-peer networked virtual environments

A hybrid interest management mechanism for peer-to-peer netw...

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24th IEEE International parallel and distributed Processing Symposium, IPDPS 2010

作者： Pan, Kec Cai, Wentong Tang, Xueyan Zhou, Suiping Turner, Stephen John Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)9781424464432

An Interest Management (IM) mechanism eliminates irrelevant status updates transmitted in Networked Virtual Environments (NVE). However, IM itself involves both computation and communication overhead, of which the latter is the focus of this paper. Traditionally, there are area-based and cell-based IM mechanisms. This paper proposes a hybrid IM mechanism for peer-to-peer NVEs, that utilizes the cell-based mechanism to reduce Area-Of-Interest (AOI) updates in the area-based mechanism so as to reduce its communication overhead. To compare the new mechanism with the two traditional approaches, a multiplayer game scenario is simulated. The performance results show that, compared to the traditional mechanisms, the hybrid mechanism reduces the upload bandwidth consumption by more than 25.28 percent, reduces the overhead ratio from more than 67.54 percent to only 25.17 percent, and allows more than 5000 players in the Internet to join the same game with today's network upload bandwidth. © 2010 IEEE.

关键词： Environmental management

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Consistency aware dead reckoning threshold tuning with server assistance in client-server-based DVEs

Consistency aware dead reckoning threshold tuning with serve...

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10th IEEE International Conference on computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable computing and Communications, ScalCom-2010

作者： Li, Yusen Cai, Wentong Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)9780769541082

In distributed virtual environments (DVEs), maintaining a consistent view of the virtual world among all users is a primary task. Due to the resource limitations such as network capacity and computational power, the consistency of the virtual world cannot be guaranteed sometimes. In this paper, we try to address this problem in client-server-based DVEs by considering server side network capacity limitation. We look at the position update packets from client to server and show the impact of packet loss due to server side network capacity limitation on the consistency of the virtual world. We assume clients use Dead Reckoning (DR) models to control position updates. In order to adapt client updates with the server side network capacity to avoid update packet loss, two server assistant DR threshold tuning policies for different updating schemas are proposed in this paper. The proposed tuning polices are validated to have good performance by simulation results. © 2010 IEEE.

关键词： Packet loss

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Evolving agent-based simulations in the clouds

Evolving agent-based simulations in the clouds

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3rd International Workshop on Advanced Computational Intelligence, IWACI 2010

作者： Decraene, James Cheng, Yong Yong Hean Low, Malcolm Yoke Zhou, Suiping Cai, Wentong Choo, Chwee Seng Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore Singapore DSO National Laboratories 20 Science Park Drive Singapore Singapore

ISBN: (纸本)9781424463343

Evolving agent-based simulations enables one to automate the difficult iterative process of modeling complex adaptive systems to exhibit pre-specified/desired behaviors. Nevertheless this emerging technology, combining research advances in agent-based modeling/simulation and evolutionary computation, requires significant computing resources (i.e., high performance computing facilities) to evaluate simulation models across a large search space. Moreover, such experiments are typically conducted in an infrequent fashion and may occur when the computing facilities are not fully available. The user may thus be confronted with a computing budget limiting the use of these "evolvable simulation" techniques. We propose the use of the cloud computing paradigm to address these budget and flexibility issues. To assist this research, we utilize a modular evolutionary framework coined CASE (for complex adaptive system evolver) which is capable of evolving agent-based models using nature-inspired search algorithms. In this paper, we present an adaptation of this framework which supports the cloud computing paradigm. An example evolutionary experiment, which examines a simplified military scenario modeled with the agent-based simulation platform MANA, is presented. This experiment refers to Automated Red Teaming: a vulnerability assessment tool employed by defense analysts to study combat operations (which are regarded here as complex adaptive systems). The experimental results suggest promising research potential in exploiting the cloud computing paradigm to support computing intensive evolvable simulation experiments. Finally, we discuss an additional extension to our cloud computing compliant CASE in which we propose to incorporate a distributed evolutionary approach, e.g., the island-based model to further optimize the evolutionary search.

关键词： Cloud computing

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Routing with uncertainty in wireless mesh networks

Routing with uncertainty in wireless mesh networks

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2010 IEEE 18th International Workshop on Quality of Service, IWQoS 2010

作者： Chen, Fajun Liu, Jiangchuan Li, Zongpeng Wang, Yijie Key Laboratory of Science and Technology for National Defence of Parallel and Distributed Processing School of Computer National University of Defense Technology China School of Computing Science Simon Fraser University Canada Department of Computer Science University of Caglary Canada

ISBN: (纸本)9781424459889

Existing routing protocols for Wireless Mesh Networks (WMNs) are generally optimized with statistical link measures, while not addressing on the intrinsic uncertainty of wireless links. We show evidence that, with the transient link uncertainties at PHY and MAC layers, a pseudo-deterministic routing protocol that relies on average or historic statistics can hardly explore the full potentials of a multi-hop wireless mesh. We study optimal WMN routing using probing-based online anypath forwarding, with explicit consideration of transient link uncertainties. We show the underlying connection between WMN routing and the classic Canadian Traveller Problem (CTP) [1]. Inspired by a stochastic recoverable version of CTP (SRCTP), we develop a practical SRCTP-based online routing algorithm under link uncertainties. We study how dynamic next hop selection can be done with low cost, and derive a systematic selection order for minimizing transmission delay. We conduct simulation studies to verify the effectiveness of the SRCTP algorithms under diverse network configurations. In particular, compared to deterministic routing, reduction of end-to-end delay (51:15∼73:02%) and improvement on packet delivery ratio (99:76%) are observed.

关键词： Routing protocols

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Automated modeling and analysis of agent-based simulations using the CASE framework

Automated modeling and analysis of agent-based simulations u...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： James Decraene Malcolm Yoke Hean Low Fanchao Zeng Suiping Zhou Wentong Cai Parallel and Distributed Computing Center School of Computer Engineering Nanyang Technological University Singapore

We present a modular evolutionary framework, coined CASE for "complex adaptive system evolver", to automate the modeling and analysis of agent-based simulations (ABSs). The field of agent-based modeling is rapidly growing due to its capabilities to expose the emerging complex phenomena occurring in a wide range of natural and artificial systems such as biological cells, societies, battlefields, stock markets, etc. Nevertheless, studying agent-based simulations is a complicated, interdisciplinary and time-consuming process. Indeed, a large number of simulation parameters has to be considered to identify and fully understand the conditions leading to the emerging phenomena of interest. To tackle this difficulty, the study of ABSs is thus typically conducted in an iterative manner, where each iteration includes the successive and manual modeling of ABSs and analysis of simulation outcomes. To automate this iterative and time-consuming process, we propose CASE, a platform-independent framework capable of evolving ABSs to exhibit the desired emerging behaviors. Through this evolutionary approach, the examination, i.e., the modeling, execution and analysis, of ABSs is automated. This process automation significantly facilitates the examination of complex systems using ABSs. In this paper, we present in detail this modular evolutionary framework which is illustrated with an example experiment. In this experiment, CASE is utilized for Automated Red Teaming, a simulation-based vulnerability assessment technique commonly employed by defense analysts. The aim of this paper is to introduce this flexible computational framework which may potentially benefit related fields involving agent-based simulations such as the gaming or financial industries.

关键词： Computational modeling Adaptation model computer aided software engineering Analytical models Evolutionary computation Biological system modeling Object oriented modeling

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