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International Conference on Parallel Processing (ICPP)

作者： Yujuan Tan Hong Jiang Dan Feng Lei Tian Zhichao Yan Guohui Zhou School of Computer Science & Technology Huazhong University of Science and Technology China Key Laboratory of Data Storage Systems Ministry of Education of China China Department of Computer Science & Engineering University of Nebraska Lincoln USA

Existing de-duplication solutions in cloud backup environment either obtain high compression ratios at the cost of heavy de-duplication overheads in terms of increased latency and reduced throughput, or maintain small de-duplication overheads at the cost of low compression ratios causing high data transmission costs, which results in a large backup window. In this paper, we present SAM, a Semantic-Aware Multitiered source de-duplication framework that first combines the global file-level de-duplication and local chunk-level deduplication, and further exploits file semantics in each stage in the framework, to obtain an optimal tradeoff between the deduplication efficiency and de-duplication overhead and finally achieve a shorter backup window than existing approaches. Our experimental results with real world datasets show that SAM not only has a higher de-duplication efficiency/overhead ratio than existing solutions, but also shortens the backup window by an average of 38.7%.

关键词： Servers Semantics Redundancy Clouds data communication Image coding Indexes

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Semantic Retrieval System Based on Corn Ontology

Semantic Retrieval System Based on Corn Ontology

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Japan-China Joint Workshop on Frontier of Computer Science and Technology (FCST)

作者： Hong Qi Liangliang Zhang Ying Gao Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China College of Computer Science and Technology Jilin University China Alcatel Lucent Shanghai Bell Company Limited China Jilin University Changchun Jilin CN

Most of the current information retrieval systems are mainly based on full text matching of keywords or topic-based classification, often return a large number of irrelevant information, and are unable to meet the user's request. Ontology-based semantic retrieval is a hot issue in current research. In this paper, the corn plant ontology is constructed using Formal Concept Analysis based approach in which the concept lattice is built from terminology-file relationship table and further reduced. Based on the corn plant ontology, we propose a semantic annotation method in which the feature words are selected by an improved method for weight calculation and the RDF triples are generated by syntactic parser. Finally a semantic retrieval system for corn plant is developed. In comparative experiment one hundred documents are selected as the dataset, and the result shows that the semantic retrieval system introduced in this paper is superior to keyword-based retrieval method in precision ratio and recall ratio.

关键词： Semantics Ontologies Information retrieval Lattices Feature extraction Resource description framework Optical wavelength conversion

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Operating system mechanisms for TPM-based lifetime measurement of process integrity

Operating system mechanisms for TPM-based lifetime measureme...

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2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09

作者： Xiao, Li Wenchang, Shi Zhaohui, Liang Bin, Liang Zhiyong, Shan Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University) Ministry of Education

ISBN: (纸本)9781424451135

Implementing runtime integrity measurement in an acceptable way is a big challenge. We tackle this challenge by developing a framework called Patos. This paper discusses the design and implementation concepts of our operating system mechanisms for runtime process integrity measurement, which is an important part of the Patos framework and is named Patos-RIP. Patos-RIP is developed into the mainstream Linux operating system and utilizes TPM as hardware support for tamper-resistance. From the beginning a process is created to the moment the process dies, Patos-RIP conducts integrity measurement at appropriate points of time when the process runs, so as to ensure that the integrity of a process is not compromised during its whole lifetime. This way, Patos-RIP can improve trustworthiness of processes by effectively detecting runtime tampering attacks on processes' integrity. ©2009 IEEE.

关键词： Computer operating systems

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Workflow-Based Spatial Modeling Environment and Its Application in Food Provisioning Services of Grassland Ecosystem

Workflow-Based Spatial Modeling Environment and Its Applicat...

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The 18th International Conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)

作者： Yimin Lu Tianxiang Yue Qinmin Wang Chenliang Wang State Key Lab.of Resources & Environmental Information System Institute of Geographic Sciences and N Key Laboratory of Data Mining & Information Sharing of Ministry of Education Spatial Information Res The College of Information Science and Engineering Shandong University of Science and Technology Qin

ISBN: (纸本)9781424473014

Nowadays, the key strategic issues about resource and environment, such as global warming, water resources shortage, food security etc. are more complex and multidisciplinary than ever before. In scientific research, the developmental tendency of modelling and integrating technique is all but irreversible. Focusing on the topic of model integration, we develop a Workflow-based Spatial Modeling Environment (WF-SME) which enables scientists and modeling users easy to design and create of complex systems models through a drag-drop operation or editing mathematical formula in model constructor. WF-SME, a visual integrated modeling environment is mainly used for the rapid realization of model dynamic integration, in which we can implement the composition and connection of the existing models, and generate new model through graphical operation. The papers firstly introduce the framework of model integration designed for WF-SME as well as its supporting theory, and then explain in detail how the modules of WF-SME have been realized. WF-SME is a platform for spatial modelling, which was designed in four parts, Spatial Workflow Designer, Model builder, Spatial Calculation engine and Visualization of Modelling Output. The spatial workflow designer built-in WFSME shipping with toolsets was adopted to create spatial workflow, reuse and aggregate models. Consisting of equation editor and data banding tool, the model builder enable modeller updates formulas on-demand. This editor parsed by MathML is powerful and flexible enough for the requirements of expressions of mathematical calculations. The spatial calculating engine developed based on component, through the map algebra language, executes mathematical calculations. The multi-form visualization module was developed to provide visual expression for a series of intermediate data and its result of the domain models. Finally, we illustrate how the typical practical application sample has been modeled in our modeling environment

关键词： Spatial workflow:Modeling environment:Model builder:MathML:Grassland ecosystem:Food provisioning model

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Ontology based automatic attributes extracting and queries translating for deep web

Journal of Software

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Journal of Software 2010年第7期5卷 713-720页

作者： Liang, Hao Ren, Fei Zuo, Wanli He, Fengling College of Computer Science and Technology Jilin University Changchun 130012 China Department of Information Changchun Taxation College Changchun 130117 China China Development Bank Center of Operations Beijing 100037 China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun 130012 China

Search engines and web crawlers can not access the Deep Web directly. The workable way to access the hidden database is through query interfaces. Automatic extracting attributes from query interfaces and translating queries is a solvable way for addressing the current limitations in accessing Deep Web. However, the query interface provides semantic constraints, some attributes are co-occurred and the others are exclusive sometimes. To generate a valid query, we have to reconcile the key attributes and semantic relation between them. We design a framework to automatically extract attributes from query interfaces taking full advantage of instances information and enrich the attribute sets embedded in the semantic query interface by Ontology technique. Each attribute is extended into a candidate attribute expressed by a hierarchy tree and describes the semantic relation of the attributes. We carry out our experiments in the real-world domain and results showed the validation of query translation framework. © 2010 ACADEMY PUBLISHER.

关键词： Ontology

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A hybrid discrete PSO-SA algorithm to find optimal elimination orderings for Bayesian networks

A hybrid discrete PSO-SA algorithm to find optimal eliminati...

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International Conference on Industrial and Information Systems, IIS

作者： Xuchu Dong Dantong Ouyang Dianbo Cai Yonggang Zhang Yuxin Ye Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre China Telecom Corporation Limited Changchun Jilin China

In this paper, a hybrid algorithm named DPSOSA is proposed to find near-to-optimal elimination orderings in Bayesian networks. DPSO-SA is a discrete particle swarm optimization method enhanced by simulated annealing. ... 详细信息

关键词： Computational modeling Adaptation model

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An adaptive multi-heuristic ant colony system for finding optimal elimination orderings in Bayesian networks

An adaptive multi-heuristic ant colony system for finding op...

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International Conference on Electrical engineering, Computing Science and Automatic Control (CCE)

作者： Xuchu Dong Yonggang Zhang Dianbo Cai Haihong Yu Yuxin Ye Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre China Telecom Corporation Limited Changchun Jilin China

To find an optimal elimination ordering for Bayesian networks, a multi-heuristic-based ant colony system named MHC-HS-ACS is proposed. MHC-HS-ACS uses a set of heuristics to guide the ants to search solutions. The heuristic set can evolve with the searching procedure in an adaptive way. MHC-HS-ACS also utilizes a heuristic-based local search to accelerate its convergence. Computational experiments show that MHC-HS-ACS can find very high quality solutions.

关键词： Bayesian methods Ethics Junctions Conferences Electrical engineering IEEE catalog Inference algorithms

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Cooperative coevolutionary genetic algorithms to find optimal elimination orderings for Bayesian networks

Cooperative coevolutionary genetic algorithms to find optima...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Xuchu Dong HaiHong Yu Dantong Ouyang Dianbo Cai Yuxin Ye Yonggang Zhang Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre China Telecom Corporation Limited Changchun Jilin China

According to the characteristics of the optimal elimination ordering problem in Bayesian networks, a heuristic-based genetic algorithm, a cooperative coevolutionary genetic framework and five grouping schemes are proposed. Based on these works, six cooperative coevolutionary genetic algorithms are constructed. Numerical experiments show that these algorithms are more robust than other existing swarm intelligence methods when solving the elimination ordering problem.

关键词： Genetics Bayesian methods Robustness

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TRACER: A Trace Replay Tool to Evaluate Energy-Efficiency of Mass Storage Systems

TRACER: A Trace Replay Tool to Evaluate Energy-Efficiency of...

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IEEE International Conference on Cluster Computing

作者： Zhuo Liu Fei Wu Xiao Qin Changsheng Xie Jian Zhou Jianzong Wang Wuhan National Laboratory of Optoelectronics Key Laboratory of Data Storage Systems Ministry of Education of China School of Computer Science and Tech Huazhong University of Science and Technology Wuhan Hubei China Department of Computer Science and Software Engineering Aubum University Auburn AL USA

Improving energy efficiency of mass storage systems has become an important and pressing research issue in large HPC centers and data centers. New energy conservation techniques in storage systems constantly spring up; however, there is a lack of systematic and uniform way of accurately evaluating energy-efficient storage systems and objectively comparing a wide range of energy-saving techniques. This research presents a new integrated scheme, called TRACER, for evaluating energy-efficiency of mass storage systems and judging energy-saving techniques. The TRACER scheme consists of a toolkit used to measure energy efficiency of storage systems as well as performance and energy metrics. In addition, TRACER contains a novel and accurate workload-control module to acquire power varying with workload modes and I/O load intensity. The workload generator in TRACER facilitates a block-level trace replay mechanism. The main goal of the workload-control module is to select a certain percentage (e.g., anywhere from 10% to 100%) of trace entries from a real-world I/O trace file uniformly and to replay filtered trace entries to reach any level of I/O load intensity. TRACER is experimentally validated on a general RAID5 enterprise disk array. Our experiments demonstrate that energy-efficient mass storage systems can be accurately evaluated on full scales by TRACER. We applied TRACER to investigate impacts of workload modes and load intensity on energy-efficiency of storage devices. This work shows that TRACER can enable storage system developers to evaluate energy efficiency designs for storage systems.

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Median query research in wireless sensor networks

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2010年第2A期38卷 133-137页

作者： Wu, Zhong-Bo Zhang, Hui Chen, Hong Information School Renmin University of China Beijing 100872 China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Beijing 100872 China School of Mathematics and Computer Science Xiangfan University Xiangfan Hubei 441053 China

Poor quality and harsh condition can result in faulty and outlier data in sampling data of sensor nodes. So we need median query to reflect average level of monitoring region. First, we put forward HMA algorithm. Second, we extend HMA algorithm and put forward HFMA algorithm. In HFMA, We only need collect data inside filter and aggregate influence coefficient during sampling period. Base station can compute median result according to the sample data inside filter and influence coefficient aggregation value. Experimental results have shown that HFMA outperforms Naive algorithm and HMA algorithm and can prolong the lifetime of sensor network.

关键词： Sensor nodes

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