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检索条件"任意字段=International Symposium on Computing in Object Oriented Parallel Environment"

共 1034 条记录，以下是201-210 订阅

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Research of Context Situation Awareness Technology

Research of Context Situation Awareness Technology

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Dianxi Shi Zhendong Wu Bo Ding Huining Yan National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China

Context situation, which means a snapshot of the status of the real world, is formed by integrating a large amount of contexts collected from various resources. How to get the context situation and use the situation to provide better services is a challenging issue. In this paper, we focused on this challenge on the basis of the mobile cloud computing architecture. An abstract model is proposed in this paper to uniformly collect the context and send them to cloud. A rule-based large-scale context aggregation algorithm is also proposed which utilizes the MapReduce computing paradigm. Finally, a large-scale context management framework based on the abstract model and the context aggregation algorithm is proposed, and a real-time traffic demo is implemented to verify the validity of the framework.

关键词： Context Mobile handsets Real time systems Sensors Servers Mobile communication Context modeling

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A Novel Self-Adaptive Fault-Tolerant Mechanism and Its Application for a Dynamic Pervasive computing environment

A Novel Self-Adaptive Fault-Tolerant Mechanism and Its Appli...

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Haibin Cai Chao Peng Linhua Jiang Yue Zhang Shanghai Key Laboratory of Trustworthy Computing Beijing Jiaotong University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Software Engineering Institute East China Jiao Tong University Shanghai China

In pervasive computing system, the increasing dynamic and complexity of software and hardware resources and frequentative interaction among function components make fault-tolerant design very challenging. In this paper, we propose a novel self-adaptive fault-tolerant mechanism for a dynamic pervasive computing environment such as mobile ad hoc network. In our approach, the self-adaptive fault-tolerant mechanism is dynamically built according to various types of detected faults based on continuous monitoring and analysis of the component states. We put forward the architecture of fault-tolerant system and the policy-based fault-tolerant scheme, which adopts three-dimensional array of core features to capture spatial and temporal variability and the Event-Condition-Action rules. The mentioned mechanism has been designed and implemented as self-adaptive fault-tolerant middleware, shortly called SAFTM, on a preliminary prototype for a dynamic pervasive computing environment such as mobile ad hoc network. We have performed the experiments to evaluate the efficiency of the fault-tolerant mechanism. The results of the experiments show that the performance of the self-adaptive fault tolerant mechanism is realistic.

关键词： Fault tolerance Fault tolerant systems Pervasive computing Monitoring Mobile communication Hardware

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Skyline Query Processing on Interval Uncertain Data

Skyline Query Processing on Interval Uncertain Data

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Xiaoyong Li Yijie Wang Xiaoling Li Guangdong Wang National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China

Many recent applications involve processing and analyzing uncertain data. Recently, several research efforts have addressed answering skyline queries efficiently on massive uncertain datasets. However, the research lacks methods to compute these queries on uncertain data, where each dimension of the uncertain object is represented as an interval or an exact value. In this paper, we extensively study the problem of skyline query on these interval based uncertain objects, which has never been studied before. We first model the problem of querying the skylines on interval datasets. Typically, we address two efficient algorithms with I/O optimal for the conventional interval skyline queries and constrained interval skyline queries, respectively. Extensive experiments demonstrate the efficiency of all our proposed algorithms.

关键词： Probability density function Distribution functions Probability distribution Random variables Computational modeling Uncertainty Distributed databases

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Experimental Feasibility Analysis of ROI-Based Hough Transform for Real-Time Line Tracking in Auto-Landing of UAV

Experimental Feasibility Analysis of ROI-Based Hough Transfo...

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Tyan Vladimir Dongwoon Jeon Doo-Hyun Kim Chun-Hyon Chang Jungguk Kim Department of Interner and Multimedia Engineering Konkuk University Seoul South Korea Department of Computer Engineering University of Konkuk Seoul South Korea College of Information and Industrial Engineering Hankuk University of Foreign Studies South Korea

Autonomous landing for fixed-wing aircraft is one of issues in smart Unmanned Aerial Vehicles (UAV). In this paper, we present a robust real-time line tracking algorithm for UAV using image processing. In the proposed algorithm, we first reduce computation region, and then transform to Hough space to detect lines in frame. Finally, the line tracking is performed. Experimental model has been designed in MATLAB Simulink environment and evaluated with several landing video clips. We took tolerance boundary test to check robustness. Experimental results indicate this approach is applicable in real uses.

关键词： Distributed computing Real time systems Conferences

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Assessment and Evaluation of Internet-Based Virtual computing Infrastructure

Assessment and Evaluation of Internet-Based Virtual Computin...

引用

international symposium on object-oriented Real-Time Distributed computing

作者： James Hardy Lu Liu Nick Antonopoulos Weining Liu Lei Cui Jianxin Li School of Computing and Mathematics University of Derby Derby UK Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education Chongqing University Chongqing China Advanced Computing Technology Institute Beihang University Beijing China

Virtualisation is a prevalent technology in current computing. Among the many aspects of virtualisation, it can be employed to reduce hardware costs by server consolidation, implement "green computing" by reducing power consumption and as an underpinning process for cloud computing enabling the creation of a range of virtual networks and virtual supercomputers. This paper presents performance measurements for a cloning system known as iVIC that has been developed in Beihang University, China. In an extension to earlier work, it focuses on the factors the limit the number of clones that can be successfully started. IVIC creates clusters of virtual computers that can communicate with each other through virtual switch mechanisms. The virtual switches can also allow communication between the clone environment and the physical world. Testing has been undertaken to identify the limiting factors for creating and starting numbers of clone machines, measure the power consumption of the physical system and the computational performance capability of the clones.

关键词： Cloning Random access memory Servers Virtual machining Virtual machine monitors Documentation Operating systems

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Experimental Evaluation of Global and Partitioned Semi-Fixed-Priority Scheduling Algorithms on Multicore Systems

Experimental Evaluation of Global and Partitioned Semi-Fixed...

引用

international symposium on object-oriented Real-Time Distributed computing

作者： Hiroyuki Chishiro Nobuyuki Yamasaki School of Science for Open and Environment Systems Keio University Yokohama Japan

Nowadays multicore systems have been used in real-time applications such as robots. In robots, imprecise tasks such as image processing tasks are required to detect and avoid objects. However, existing real-time operating systems have evaluated multiprocessor real-time scheduling algorithms in Liu and Lay land's model and have not evaluated those in the imprecise computation model. This paper performs experimental evaluations of global and partitioned semi-fixed-priority scheduling algorithms in the extended imprecise computation model on multicore systems. Experimental results show that semi-fixed-priority scheduling has comparable overhead to fixed-priority scheduling. In addition, global semi-fixed-priority scheduling has lower overhead than partitioned semi-fixed-priority scheduling.

关键词： Real time systems Scheduling Computational modeling Scheduling algorithms Multicore processing Hardware

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Real-Time Fault-Tolerance in Federated Cloud environments

Real-Time Fault-Tolerance in Federated Cloud Environments

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Peter Garraghan Paul Townend Jie Xu School of Computing University of Leeds UK

Dependability is a critical concern in provisioning services in Cloud computing environments. This is true when considering reliability, an attribute of dependability that is a critical and challenging problem in a Cloud context [2]. Fault-tolerance is one means to attain reliability, and is typically implemented by using some form of diversity. Federated Cloud, which is an emerging Cloud paradigm that orchestrates multiple Clouds, is able to implement environmental diversity for Cloud applications with relative ease and minimal additional cost to the consumer due to its inherent design. Real-Time Applications (RTAs) can benefit from deploying fault-tolerant schemes to fulfill deadlines in the presence of faults as they enable the provisioning of correct service in the event of a component in the application failing. However, this diversity can potentially become an issue when designing dynamically scalable fault-tolerant RTAs in a federated Cloud environment while also fulfilling QoS demands. In particular, building fault-tolerant RTAs by using the diversity of the Virtual Machine (VM) configurations and of the underlying Cloud infrastructure can have a negative impact on the ability to fulfill deadlines whilst still allowing the application to dynamically provision VMs with minimal human interaction. This paper identifies a number of characteristics that affect the ability for a RTA to fulfill specified deadlines in a federated Cloud environment as a result of deploying environment diverse fault-tolerant schemes. Furthermore we have designed and performed initial experiments using a real world Cloud federation to justify the feasibility of this problem. Results demonstrate that deploying RTAs in a federated Cloud environment can potentially increase the rate of deadline violations.

关键词： Cloud computing Fault tolerance Fault tolerant systems Real time systems Computer architecture Quality of service Humans

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A Clustering-Based QoS Prediction Approach for Web Service Recommendation

A Clustering-Based QoS Prediction Approach for Web Service R...

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Jieming Zhu Yu Kang Zibin Zheng Michael R. Lyu Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong China School of Computer Science National University of Defense Technology Changsha China

The rising popularity of service-oriented architecture to construct versatile distributed systems makes Web service recommendation and composition a hot research topic. It's a challenge to design accurate personalized QoS prediction approaches for Web service recommendation due to the unpredictable Internet environment and the sparsity of available historical QoS information. In this paper, we propose a novel landmark-based QoS prediction framework and then present two clustering-based prediction algorithms for Web services, named UBC and WSBC, aiming at enhancing the QoS prediction accuracy via clustering techniques. Hierarchical clustering is adopted based on the real-word Web service QoS dataset collected with PlanetLab1, which contains response-time values of 200 distributed service users and 1,597 Web services. The comprehensive experimental comparison and analysis show that our clustering-based approaches outperform other existing methods.

关键词： Quality of service Web services Clustering algorithms Peer to peer computing Collaboration Prediction algorithms

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A Reality Check of Multiple Snowball Tree File Dissemination in Large Scale Cloud Cluster

A Reality Check of Multiple Snowball Tree File Dissemination...

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Zhang Zhaoning Lu Xicheng Peng Yuxing Li Huiba School of Computer National University of Defense Technology China

Nowadays, Infrastructure-as-a-Service (IaaS) cloud become popular to provide more and more compute powers. The importance of resources management in the private cloud clusters raise correspondingly, as it's the significate guarantee to the service quality. When IaaS providers provide user large scale of virtual machine instances, users can't stand long for the preparation phase of the instances initialization, especially when the scale is really large. In this paper, we present a reality check of IaaS cloud large file dissemination. We deploy the experiments in National Super computing Center in Tianjin (NSCC-TJ), China, which use multiple snowball tree algorithm to dissemination virtual machine images, software packages, software or system kernel updates in large quantity. We optimize and accelerate the algorithm to fit our system and environment. As a comparison, it speed up the image dissemination progress to 1 hour from 30 hours using Eucalyptus.

关键词： Concurrent computing Cloud computing Virtual machining Clustering algorithms Acceleration Servers

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ESF - An Extensive Service Foundation from Internet of Things Perspective

ESF - An Extensive Service Foundation from Internet of Thing...

引用

IEEE international symposium on object/Component/Service-oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Jianqi Shi Xin Ye Liangyu Chen Pei Zhang Ningkang Jiang Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Jiao Tong University China China Electronics Technology Group Corporation No.32 Research Institute Shanghai China

The increasing interest in the Internet of Things (IoT) has brought lots of opportunities and challenges to researchers. Cyber-space and physical world are more and more amalgamated by smart devices with networking capability. Making appropriate adaptations to satisfy new processing requirements is necessary for the extensive service in such an environment. In this paper, we propose a three-layer architecture for IoT: the sensor layer, processing layer and mining layer. We adopt a new design approach for the information-processing layer which focuses on five aspects: exchanging data format, data entity design, the method invocation style, the event decoupling and massive data processing. Our approach has been applied to an environmental protection system which is being used in more than 200 monitoring stations in Shanghai. There are 7 kinds of environmental information to be monitored and more than 70 million data items to be processed by this system every day.

关键词： Internet Wireless sensor networks Computers Distributed databases Couplings Data processing

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