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A metadata management strategy based on event-classification in intelligent transportation system 1

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

作者： Su, Yayun Zhang, Yaying Key Laboratory of Embedded System and Service Computing Tongji University Shanghai200092 China

ISBN: (数字)9783319271194

ISBN: (纸本)9783319271187

With the explosive growth of data information, the object-oriented storage system has been widely used. This paper proposed a metadata management strategy based on Distributed File system-Ceph in terms of event classification, taking advantage of the characteristics of data in urban traffic system. The large amount of data with a wide variety of sources and data types was first classified by machine learning, and a classification model was established. Then, improvements on load balancing were made to the existing Ceph Load Balancing Strategy of metadata partition. The metadata partitioning is to assign and migrate metadata obtained from the event classification model to the target server chosen by the fuzzy optimum method. Experimental results show that the proposed load balancing strategy based on event classification can not only make the overall load of the metadata servers in a relatively stable state but also make the migration times less than that of other algorithms. The extra overhead of the system is also reduced. © Springer International Publishing Switzerland 2015.

关键词： Metadata

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A novel storing and accessing method of traffic incident video based on spatial-temporal analysis 15th

A novel storing and accessing method of traffic incident vid...

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

作者： Zhang, Yaying Zhu, Yinyin Key Laboratory of Embedded System and Service Computing Tongji University Shanghai201804 China

ISBN: (纸本)9783319271217

Hadoop Distributed File system (HDFS) is a reliable and scalable data storage solution. However, it has great weakness in storage of the numerous small files. A merging method of small video files containing traffic incidents is proposed to improve the HDFS storage efficiency of small files. As traffic incident videos can be classified in terms of time and the crossroad where the incident happens, the proposed method merges video files together by time and region (usually adjacent crossroads). Indexing mechanism has been improved in later searching for small video files. The whole HDFS file block related to specific incidents will be read out to local cache. The experimental results show that when accessing for traffic incidents by region in certain period, the average search time and the memory load of HDFS NameNode will be effectively reduced. © Springer International Publishing Switzerland 2015.

关键词： Storage efficiency

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Microservices Architecture Based Cloudware Deployment Platform for service computing

Microservices Architecture Based Cloudware Deployment Platfo...

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2016 IEEE Symposium on service-Oriented system Engineering (SOSE)

作者： Dong Guo Wei Wang Guosun Zeng Zerong Wei Tongji Branch National Engineering & Technology Center of High Performance Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

With the rising of Cloud computing, evolution have occurred not only in datacenter, but also in software development, deployment, maintain and usage. How to build cloud platform for traditional software, and how to deliver cloud service to users are central research fields which will have a huge impact. In recent years, the development of microservice and container technology make software paradigm evolve towards Cloudware in cloud environment. Cloudware, which is based on service and supported by cloud platform, is an important method to cloudalize traditional software. It is also a significant way for software development, deployment, maintenance and usage in future cloud environment. Furthermore, it creates a completely new thought for software in cloud platform. In this paper, we proposed a new Cloudware PaaS platform based on microservice architecture and light weighted container technology. We can directly deploy traditional software which provides services to users by browser in this platform without any modification. By utilizing the microservice architecture, this platform has the characteristics of scalability, auto-deployment, disaster recovery and elastic configuration.

关键词： Cloud computing Containers Computer architecture Rendering (computer graphics) Virtualization Servers

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Macro liveness graph and liveness of ω-independent unbounded nets

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Science China(Information Sciences) 2015年第3期58卷 132-141页

作者： WANG ShouGuang GAN MengDi ZHOU MengChu School of Information and Electronic Engineering Zhejiang Gongshang University Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Department of Electrical and Computer Engineering New Jersey Institute of Technology

Liveness is a basic property of a system and the liveness issue of unbounded Petri nets remains one of the most difficult problems in this *** work proposes a novel method to decide the liveness of a class of unbounded generalized Petri nets calledω-independent unbounded nets,breaking the existing limits to one-place-unbounded *** algorithm to construct a macro liveness graph(MLG)is developed and a critical condition based on MLG deciding the liveness ofω-independent unbounded nets is *** are provided to demonstrate its effectiveness.

关键词： discrete event system(DES) Petri nets complex systems liveness property analysis

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Towards Cloudware Paradigm for Cloud computing

Towards Cloudware Paradigm for Cloud Computing

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IEEE International Conference on Cloud computing, CLOUD

作者： Dong Guo Wei Wang Jingxuan Zhang Guosun Zeng Qiao Xiang Zerong Wei The Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science and Technology Tongji University Shanghai China Department of Computer Science Yale University

The rise of cloud computing and the Internet not only bring change on the data center, but also lead to transformation in software development, deployment, operation and maintenance. With the continuous improvement of the current cloud computing and the internet environment, how to make better use of cloud computing platform, and how to serve the users is a popular field of computer software is a big challenge. In recent years, with the further development of concepts like micro-services and containers, software will further step forward to the Cloudware. This paper discusses how to deploy Cloudware in cloud environment, and proposes a new method to construct the PaaS platform which can directly deploy software on the cloud without any modification, while achieving a new model by the browser services. By using micro-service architecture, we achieving good performance of extension, scalable deployment, faults tolerance and flexible configuration. Finally, we evaluate this method by constructing a complete framework and carrying out an interactive delay experiment that directly focuses on users' experience, which also shows the effectiveness of this method.

关键词： Cloud computing Containers Browsers Computer architecture Rendering (computer graphics)

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Property analysis of composable web services

Telkomnika (Telecommunication Computing Electronics and Cont...

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Telkomnika (Telecommunication computing Electronics and Control) 2016年第2期14卷 734-740页

作者： Liu, Wei Wang, Lu Du, Yuyue Wang, Pin Yan, Chun State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and Technology Qingdao China College of Information Science and Engineering Shandong University of Science Technology Qingdao China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

Web services are basic components constructing a flexible business process software. By composing multiple Web services, a complicated business process across organization and departments can be formed. This paper present a formal model of composable Web services: composed service process nets (CSPNs). Properties of Composable Web services are analyzed based on CSPNs. The relation between a CSPN and its corresponding Web service process subnets are discussed. The property analysis methods of CSPNs are come up with. A dynamic property of CSPNs can be determined based on static net structures by means of the proposed methods. © 2016 Universitas Ahmad Dahlan.

关键词： Web services

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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： Liu, Junjun Sun, Haichun Ding, Zhijun The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China

ISBN: (纸本)9783662462478

With the explosive growth of Internet information, it is more and more important to fetch real-time and related information. And it puts forward higher requirement on the speed of webpage classification which is one of common methods to retrieve and manage information. To get a more efficient classifier, this paper proposes a webpage classification method based on locality sensitive hash function. In which, three innovative modules including building feature dictionary, mapping feature vectors to fingerprints using Localitysensitive hashing, and extending webpage features are contained. The compare results show that the proposed algorithm has better performance in lower time than the naïve bayes one. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Hash functions

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A MapReduce-based parallel K-means clustering for large-scale CIM data verification

A MapReduce-based parallel K-means clustering for large-scal...

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作者： Deng, Chuang Liu, Yang Xu, Lixiong Yang, Jie Liu, Junyong Li, Siguang Li, Maozhen School of Electrical Engineering and Information Sichuan University Chengdu610065 China Department of Electronic and Computer Engineering Brunel University London UxbridgeUB8 3PH United Kingdom The Key Laboratory of Embedded Systems and Service Computing Tongji University Shanghai200092 China

The Common Information Model (CIM) has been heavily used in electric power grids for data exchange among a number of auxiliary systems such as communication systems, monitoring systems, and marketing systems. With a rapid deployment of digitalized devices in electric power networks, the volume of data continuously grows, which makes verification of CIM data a challenging issue. This paper presents a parallel K-means clustering algorithm for large-scale CIM data verification. The parallel K-means builds on the MapReduce computing model which has been widely taken up by the community in dealing with data-intensive applications. A genetic algorithm-based load-balancing scheme is designed to balance the workloads among the heterogeneous computing nodes for a further improvement in computation efficiency. The performance of the parallel K-means is initially evaluated in a small-scale in-house MapReduce cluster and subsequently evaluated in a commercial cloud computing platform. Finally, the parallel K-means is evaluated in large-scale simulated MapReduce environments. Both the experimental and simulation results show that the parallel K-means reduces the CIM data-verification time significantly compared with the sequential K-means clustering, while generating a high level of precision in data verification. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

关键词： MapReduce

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Fuzzy H∞ Filtering for Nonlinear Networked systems with Multiple Stochastic Time-Varying Delays, Packet Dropouts and Sensor Saturation 34

Fuzzy H∞ Filtering for Nonlinear Networked Systems with Mul...

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第三十四届中国控制会议

作者： XU Xiaoli YAN Huaicheng ZHANG Hao SHI Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education School of information Science and Engineering East China University of Science and Technology Key Laboratory of Embedded System and Service Computing Ministry of Education

ISBN: (纸本)9781467374439

This paper investigates the problem of H∞ filter design for a class of nonlinear networked system based on T-S fuzzy model. Multiple stochastic time-varying delays and some incomplete information are considered simultaneously. Incomplete information includes randomly occurring sensor saturation and packet dropouts. Stochastic time-varying delays are depicted as a sequence of stochastic and independent variables, which take values on 0 and 1. Two sets of Bernoulli distributed white noises are introduced to describe randomly occurring sensor saturation and packet dropouts. system conservatism is reduced due to introduce an approach of piecewise quadratic Lyapunov function. By solving a set of linear matrix inequalities(LMIs), the filter parameters are obtained. Finally, a simulation example is provided to illustrate the effectiveness of the proposed filter design approach.

关键词： H ∞ filtering,multiple time-varying delays,randomly occurring sensor saturation,packet dropouts,piecewise quadratic Lyapunov function

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Collaborative Tensor Factorization and its Application in POI Recommendation

Collaborative Tensor Factorization and its Application in PO...

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IEEE International Conference on Networking, Sensing and Control

作者： Wenjing Luan Guanjun Liu Changjun Jiang Department of Computer Science & Technology Tongji University Shanghai P. R. China MoE Key Lab of Embedded System & Service Computing Tongji University Shanghai P. R. China

ISBN: (纸本)9781467399760

The rapid prevalence of location-based services provides an opportunity to understand people's mobility behavior, helps people easily decide where to go at the next moment, and helps salesmen select the most suitable commercial sites to delivery advertisements. In this paper, we propose a POI recommendation method based on collaborative tensor factorization. Firstly, we present a generalized objective function for collaboratively factorizing an n-mode tensor with m feature matrices. Secondly, all users' check-in behaviors are modeled as a 3-mode tensor and three feature matrices are extracted to characterize the time distribution, category distribution and POI correlation. Thirdly, we fill the missing entries by using our collaborative tensor factorization approach such that a user's rating to a POI at a specific time is recovered. Our experiment on a real check-in database shows that our method can provide more accurate recommendation.

关键词： Tensor factorization context feature extraction POI recommendation

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