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International Conference on Information and Automation (ICIA)

作者： Xiwei Liu Department of Computer Science and Technology The Key Laboratory of Embedded System and Service Computing Shanghai China

ISBN: (纸本)9781467391054

In this paper, the synchronization problem for linearly coupled complex networks is investigated, which is denoted by ordinary differential equations with complex-values. The coupling topology can be asymmetric, and the time delay also exists in the network model. By pinning some external aperiodically intermittent control on the network nodes, we will prove that under some conditions, the complete synchronization will be finally realized exponentially. Moreover, applying the adaptive technique on the coupling strength, we will also present an adaptive rule, whose validity is rigorously proved. Finally, some numerical simulations will be given to illustrate the correctness of these obtained results.

关键词： Synchronization Delay effects Couplings Adaptation models Mathematical model Complex networks Delays

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A review on the system energy management of Energy Internet 5

A review on the system energy management of Energy Internet

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5th International Conference on Logistics and Supply Chain Management, LSCM 2015

作者： Zhang, Tao Zhang, Fu-Xing Wang, Rui Zhang, Yan Zhang, Xiao-Yu College of Information System and Management National University of Defense Technology Changsha China State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China

ISBN: (纸本)9781510818071

Energy Internet(EI) as the future solution to the shortage of fossil energy and the worsening environment problem, is becoming the hotspot and the trend of the research. Firstly, the paper expounds the connotation and features of Energy Internet, and put forward the new requirements of the Energy Internet system energy management with four elements, namely the grid structure, consumptive pattern, measuring method and research perspective. Secondly, summarizes the related research at home and abroad of Energy Internet system energy management on the aspect of system structure design, robust modeling of energy management and optimization algorithm design. Finally, the future issue of Energy Internet system energy management research is prospected.

关键词： Energy management

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Modeling and analysis of energy local area network based on system dynamics simulation 5

Modeling and analysis of energy local area network based on ...

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5th International Conference on Logistics and Supply Chain Management, LSCM 2015

作者： Zhang, Fu-Xing Zhang, Tao Wang, Rui Zhang, Yan College of Information System and Management National University of Defense Technology Changsha China State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China

ISBN: (纸本)9781510818071

Energy Local Area Network(ELAN) is the core component of the Energy Internet(EI), including wind power generation, energy storage equipment, electric vehicles and many kinds of intelligent loads. It can be used as a scheduling unit to accept EI layer control system. Complex structure, multiple correlation and strong coordination requirements have been the major obstacle to the realization of the accurate and timely optimization scheduling of ELAN. First of all, we talk about the composition of ELAN, physical structure and relationship between constitute factors. Secondly, Based on drawing the causality diagram and system flow chart, we built the SD model of ELAN. Thirdly, considering from the two aspects of structure and behavior model, we test and verify the model reliability and validity through the structure applicability test, structure consistent test, behavior applicability test and behavioral consistency test. Finally, based on the model correct test, we carried out the regular test and the policy simulation test, and the research conclusions of this paper are presented.

关键词： Economics

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Top-n recommendation algorithms for cloud data

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2015年第1期43卷 54-61页

作者： Huang, Zhen-Hua Department of Computer and Technology Tongji University Shanghai200092 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China

Top-n recommendation technology has recently received a lot of attention in information service community. In this paper, we study the problem of top-n recommendation under the cloud data. Firstly, we propose a multilayer distributed storage architecture(MDSA)which can fit the need of top-n recommendation. Secondly, based on the consideration of reducing the cost of network transmission, we present the data encoding pattern which is based on the MDSA architecture. Lastly, we fast realize top-n recommendation using the map/reduce distributed programming model. For satisfying the realistic requirement, we further present three application variants of top-n recommendation. Massive experiments demonstrate that our approach is efficient and has high overall performance. ©, 2015, Chinese Institute of Electronics. All right reserved.

关键词： MapReduce

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A polynomial algorithm to performance analysis of concurrent systems via petri nets and ordinary differential equations

A polynomial algorithm to performance analysis of concurrent...

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作者： Ding, Zuohua Zhou, Yuan Zhou, Meng Chu Laboratory of Intelligent Computing and Software Engineering Zhejiang Sci-Tech University Hangzhou310018 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102-1982 United States

In this paper, a new method is proposed to evaluate the performance of concurrent systems. A concurrent system consisting of multiple processes that communicate via message passing mechanisms is modeled by a Petri net, which is in turn represented by a set of ordinary differential equations (ODEs) of a restricted type. The equations describe the system state changes, and the solutions, also called state measures, can be used for the performance analysis such as estimating response time, throughput and efficiency. This method can avoid a state explosion problem encountered by the conventional methods based on Continuous-Time Markov Chains. Its application to an IBM business system is given as an example. © 2004-2012 IEEE.

关键词： Ordinary differential equations

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A light-weight hot data identification scheme via grouping-based LRU lists 15th

A light-weight hot data identification scheme via grouping-b...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Shen, Biaobiao Li, Yongkun Xu, Yinlong Pan, Yubiao School of Computer Science and Technology University of Science and Technology of China Hefei230026 China Guangdong Key Laboratory of Popular High Performance Computers Shenzhen518060 China Shenzhen Key Laboratory of Service Computing and Applications Shenzhen518060 China

ISBN: (纸本)9783319271392

Real-world workloads generally exhibit high skewness in access patterns, and it is a consensus that separating hot and cold data may greatly improve storage system performance such as Solid State Drive (SSD) garbage collection(GC) performance. To achieve this, the key issue is how to accurately identify hot data, which is really challenging due to the large diversity and dynamics of workloads. In this paper, we propose a light-weight and high-accuracy identification scheme, which is developed via a group of Least Recently Used (LRU) lists and requires only a small amount of memory and CPU cycles. We further deploy our scheme on SSDs with DiskSim simulator, and results show that comparing to two state-of-the-art identification schemes, our scheme further reduces SSD GC cost by up to 59.1% (62.1%), and saves 44.3% (77.5%) of computational cost. Due to the light-weight and parameter-insensitive feature, our scheme can be easily deployed at various system levels and adaptable to different workloads. © 2015 Springer International Publishing Switzerland.

关键词： Refuse collection

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MR-COF: A genetic MapReduce configuration optimization framework 15th

MR-COF: A genetic MapReduce configuration optimization frame...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Liu, Chao Zeng, Deze Yao, Hong Hu, Chengyu Yan, Xuesong Fan, Yuanyuan Hubei Key Laboratory of Intelligent Geo-Information Processing China University of Geosciences Wuhan430074 China China Services Computing Technology and System Lab and Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319271392

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing resources. Hadoop has many configuration parameters, some of which are crucial to the performance of MapReduce jobs. In practice, these parameters are usually set to default or inappropriate values. This severely limits system performance (e.g., execution time). Therefore, it is essential but also challenging to investigate how to automatically tune these parameters to optimize MapReduce job performance. In this paper, we propose an automatic MapReduce configuration optimization framework named as MR-COF. By monitoring and analyzing the runtime behavior, the framework adopts a cost-based performance prediction model that predicts the MapReduce job performance. In addition, we design a genetic search algorithm which iteratively tunes parameters in order to find out the best one. Testbed-based experimental results show that the average MapReduce job performance is increased by 35% with MR-COF compared to the default configuration. © Springer International Publishing Switzerland 2015.

关键词： MapReduce

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Vehicle classification based on the fusion of deep network features and traditional features

Vehicle classification based on the fusion of deep network f...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Hua Qian Yaying Zhang Chunmei Liu Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

Consider to the defect of traditional features which have high empirical components. A vehicle classification algorithm based on the fusion of higher-layer features of a deep network and traditional features was proposed. Firstly, the traditional features of PHOG and LBP-EOH were extracted. Secondly, the higher-layer features excavated from the vehicle pictures by deep belief networks were added, making these three kinds of features together by feature fusion. Finally, support vector machine is used to train and classify the vehicle. When the number of training samples is large enough, the algorithm has a significant effect compared to those with traditional features. It can achieve the accuracy of 95% in the six categories of vehicles.

关键词： Vehicles Support vector machines Feature extraction Algorithm design and analysis

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An Efficient Webpage Classification Algorithm Based on LSH

An Efficient Webpage Classification Algorithm Based on LSH

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International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015

作者： Junjun Liu Haichun Sun Zhijun Ding The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University

With the explosive growth of Internet information,it is more and more important to fetch real-time and related *** it puts forward higher requirement on the speed of webpage classification which is one of common methods to retrieve and manage *** get a more efficient classifier,this paper proposes a webpage classification method based on locality sensitive hash *** which,three innovative modules including building feature dictionary,mapping feature vectors to fingerprints using Localitysensitive hashing,and extending webpage features are *** compare results show that the proposed algorithm has better performance in lower time than the na?ve bayes one.

关键词： Explosive growth Webpage classification Locality-sensitive hashing Fingerprint Extending webpage features

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Adopting WirelessHART for In-Vehicle-Networking

Adopting WirelessHART for In-Vehicle-Networking

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IEEE International Symposium on Cyberspace Safety and Security

作者： Zhuo Bi Deji Chen Cheng Wang Changjun Jiang Ming Chen Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University

ISBN: (纸本)9781479989386

It is estimated that the breakthrough in the broad deployment of Internet of Things (IoT) could come from smart cars. Indeed, we have seen multi-facet advances around cars: new material, in vehicle infotainment, driverless cars, smart transportation, electrical vehicles, etc. However, in-vehicle-networking has been mainly by wire;the wiring for a car is largely prebuilt during the design phase. With more and more things networked within a car, wiring has taken up 1-2 percent of the total weight. This translates into burning up to 0.1 kilogram fuel over 100 kilometers. On the other hand, the advances in wireless technology, especially the broad acceptance of WirelssHART in the industrial settings, has proved its capability in harsh environments. This paper studies what could happen if we use WirelessHART mesh network for in-vehicle communication. While new wireless network protocols are needed to perform the task of CAN, the dominant in-vehicle fieldbus, WirelessHART could take on the work performed by LIN, the fieldbus for peripheral devices. A detailed study is provided to compare these buses. Road tests were performed, in which a WirelessHART network keeps running for the whole 20 minute period.

关键词： Reliable Wireless Sensor Network Smart Car CAN LIN WirelessHART

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