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Autonomous migration of virtual machine based on OpenStack

International Journal of Hybrid Information Technology 2016年第8期9卷 65-84页

作者： Zhou, Li Yu, Zhuoer Zhang, Jilin Wan, Jian Wu, Yusen School of Computer and Technology Hangzhou Dianzi University Hangzhou310018 China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou China College of Electrical Engineering Zhejiang University Hangzhou310058 China School of Information and Electronic engineering Zhejiang University of Science & Technology Hangzhou310023 China Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis HangzhouZhejiang China

For the problem of compute nodes load unbalance leads to the overload node impact VM performance and the underload node waste electrical energy. Dynamic VM consolidation is an efficient approach for improving the utilization of servers and reducing energy costs. In this paper, we introduce dynamic consolidation into OpenStack and implement AMVM based on OpenStack. AMVM collect and analyze all performance data of VM and compute node in OpenStack. Then AMVM automatically schedules VM live migrate to the most appropriate node according to the real-time load of all compute nodes. Then we use hybrid-copy instead of pre-copy in AMVM to improve the efficiency of VM live migration. Finally, we analyze the performance of hybrid-copy, hybrid-copy can reduce page faults compared with post-copy and reduce total data transferred compared with pre-copy. © 2016 SERSC.

关键词： Virtual machine

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An efficient storage technology for object-based distributed storage system

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第11期8卷 337-348页

作者： Zhang, Jilin Su, Yucheng Wan, Jian Zhou, Li Wang, Jue Zhang, Lei College of Electrical Engineering Zhejiang University Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Supercomputing Center of Computer Network Information Center Chinese Academy of Sciences Beijing China Computer Science Department Beijing University of Civil Engineering and Architecture Beijing China

There have two effective ways to improve the overall efficiency of the object-based distributed storage system, one is network caching technology and the other is metadata server cluster load balancing strategy. Under the heterogeneous storage environments, object-based distributed file system face the key challenge of lacking caching mechanism for the high-frequency access files, metadata server load imbalance also reduce the overall efficiency. To address these challenges, we discuss the design and implementation of an object-based distributed file storage caching system, and propose a weight-based metadata server cluster load balancing strategy. It effectively improve the metadata processing capacity. Based on the results, it demonstrated the feasibility and the efficiency of our methods. © 2015 SERSC.

关键词： Metadata

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Research and implementation of CDP disaster recovery system based on oracle

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第11期8卷 325-336页

作者： Ren, Yongjian Ye, Jiaolong Zhang, Jilin Zhou, Li Wang, Jue Zhang, Lei School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China College of Electrical Engineering Zhejiang University Hangzhou China Supercomputing Center of Computer Network Information Center Chinese Academy of Sciences Beijing China Computer Science Department Beijing University of Civil Engineering and Architecture Beijing China

The OraCDP disaster recovery system uses CDP disaster recovery technology based on the combination of block level, combining with the communication coupling between the underlying I/O and Oracle database. The experimental results show that the OraCDP system can not only maintain the normal operation of the original system without any negative influence, but also guarantee the recovery of data and service at specific time quickly, fully and accurately. © 2015 SERSC.

关键词： Recovery

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Insurance Strategy Can Promote Cooperation in the Presence of Antisocial Punishment in Public Goods Game

Insurance Strategy Can Promote Cooperation in the Presence o...

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International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

作者： Hong Ding Yao Zhang Haiyang Hu Lei Shu Yizhi Ren Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory Guangdong University of Petrochemical Technology Maoming China

Previous researches have well demonstrated the importance of costly punishment for promoting the evolution of cooperation, while it remains unconsidered sides about the punishment. Recent evidences highlight that punishment cannot promote cooperation when punishment can be targeted at cooperators. In this paper, we study the evolutionary process of cooperation in the well-mixed population when the presence of antisocial punishment. Here cooperator can optionally adopt an insurance strategy which incurs an extra cost to resist the threat of antisocial punishment, and she will obtain compensation when being punished by antisocial punisher in the future. With this strategy, cooperators can opportunistically adjust their behavior, which makes cooperators evolve advantageously, and improve individuals' average payoff in population.

关键词： Sociology Statistics Insurance Integrated circuits Games Resists Investment

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Reputation-Based Conditional Investment Enhances the Evolution of Cooperation in Spatial Public Goods Game

Reputation-Based Conditional Investment Enhances the Evoluti...

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International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

作者： Hong Ding Lin Cao Hongjun Qiu Zhangbing Zhou Lei Shu Yizhi Ren Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Hangzhou Dianzi University Hangzhou China School of Computer Science and Technologv Hangzhou Dianzi University Hangzhou China School of Information Engineering China University of Geosciences Beijing China Guangdong Petrochemical Equipment Fault Diagnosis Key Laboratory Guangdong University of Petrochemical Technology Maoming China

Most previous studies involving public goods games are investigated under a simplifying assumption that participators are compulsive in collective interactions and contribute unconditionally to the public pool. Nevertheless, how the conditional investment mechanism based on individual's reputation affects the evolution of cooperation in structured populations is still unclear. Here we introduce a reputation-based conditional investment rule for constituting participant groups into spatial threshold public goods game, where the public goods game can be conducted only if the participant number is not less than the threshold parameter. Interestingly, we find that large threshold parameter results in the optimal environment for cooperators' viability.

关键词： Games Investment Sociology Statistics Lattices Evolution (biology) Fault diagnosis

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Pseudo Share: Bring Shared to Exclusive for Main Memory in Multi-core systems

Pseudo Share: Bring Shared to Exclusive for Main Memory in M...

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IEEE International Conference on Computational Science and Engineering, CSE

作者： Xiaolin Meng Gangyong Jia Jian Wan Jilin Zhang Key Laboratory of Complex Systems Modeling and Simulation of Ministry of Education Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781479979820

In modern multi-core system, memory is shared among more and more concurrently running threads. Therefore, memory contention and interference is more and more seriously which induces performance degradation unevenly, unfairness resource sharing and priority inversion even starvation. In this paper, we first analyze the problems induced by contention and interference in detail, and then, propose pseudo share framework which brings shared memory to exclusive in multi-core system. The pseudo share framework contains three steps: 1) Partition threads and memory into thread and memory groups respectively, each thread group runs on one core occupying one memory group, 2) Analyze the performance influence after memory shared for each thread, 3) According to performance influence of parallel running threads, allocate memory bandwidth for each thread. We implement pseudo share in 4-core and 8-core platforms. Experimental results show pseudo share optimizes both problems of performance degradation differently and unfairness resource sharing in both 4-core and 8-core. Moreover, pseudo share solves starvation and reduces 5.3% power on average.

关键词： Instruction sets Memory management Bandwidth Interference System performance Switches Resource management

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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An iterative space alternative tiling parallel algorithm for 3D finite difference stencil computations

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2014年第6期7卷 105-120页

作者： Shen, Jing Zhang, Jilin Wan, Jian Zhou, Li Jiang, Ming School of Computer Science and Technology Hangzhou Dianzi University Hangzhou Zhejiang China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis Hangzhou China School of Information Engineering Hangzhou Dianzi University Hangzhou Zhejiang China

Stencils are finite-difference algorithms for solving large-scale and high-dimension partial differential equations. Due to the data dependences among the iterative statements in Stencils, traditional Stencil computations are be executed serially, rather than in parallel. It's challenging to design an effective and scalable Stencil parallelized method. To address the issue of 3D data space computing, we present a serial execution model based on multi-layers symmetric Stencil method and time skewing techniques. Within this model, the iteration space is divided to multiple tiles based on time skewing, where the executive process is ordered by the sequence of tiles, and the nodes in each individual tile can be swept repeatedly to improve the data locality. In addition, we propose a novel 3D iterative space alternate tiling Stencil parallel method, which subdivides the iteration space along high dimension, and changes the execution sequence of tiles to reduce the data dependency and communication cost, where the partial order of tiles is still guaranteed. Experimental results demonstrate our proposed alternative tiling parallel method achieves better parallel efficiency and scalability compared with the domain-decomposition methods.

关键词： Iterative methods

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Foreword

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Particuology 2011年第4期9卷 319-319页

作者： Ning Yang Wei Ge Jinghai Li State Key laboratory of Multiphase complex systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China Aibing Yu laboratory for simulation and modeling of Particulate systems, School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China Laboratory for Simulation and Modeling of Particulate Systems School of Materials Science and Engineering The University of New South Wales Sydney NSW 2052 Australia

Granular materials are ubiquitous in nature and engineering. They display both fluid- and solid-like behavior with fascinating complexity and remarkable uniqueness. Their behavior at different scales is strongly coupl... 详细信息

关键词： materials different Understanding size effects structures complexity challenge products display nature high

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