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检索条件"任意字段=9th International Conference on Distributed Computing and Internet Technology, ICDCIT 2013"

共 273 条记录，以下是41-50 订阅

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Cloud vs Fog: assessment of alternative deployments for a latency-sensitive IoT application 9th

Cloud vs Fog: assessment of alternative deployments for a la...

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9th international conference on Ambient Systems, Networks and Technologies (ANT) / 8th international conference on Sustainable Energy Information technology (SEIT)

作者： Gomes, Marcus Pardal, Miguel L. Univ Lisbon Inst Super Tecn INESC ID Lisbon Portugal

internet of things (IoT) smart places are systems composed of sensors, actuators and computing infrastructure that acquires data about the surrounding environment and uses that data to improve the user experience of the smart place. For instance, RFID readers can detect a tag approaching and, after the event is processed in a dedicated server, open a door automatically. Many IoT applications are latency-sensitive because actions need to be done in a timely manner. To meet this requirement these applications are usually provisioned close to the physical place, which represents an infrastructure burden because it is not always practical to deploy a physical server at a location. Utility computing in the Cloud can solve this issue but the latency requirements must be carefully assessed. Fog computing is a concept that brings the cloud close to devices at the edge of the network, aiming to provide low latency communication for applications and services. the present work implemented a provisioning mechanism to deploy a "smart warehouse" IoT application according in utility computing platforms: Cloud and Fog. We compared the event latency performance of both approaches and the results show that a fog deployment is more adequate for the considered IoT application. (C) 2018 the Authors. Published by Elsevier B.V.

关键词： Utility computing Cloud computing Fog computing Provisioning internet of things RFID

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distributed computing and internet technology: 12th international conference, icdcit 2016 Bhubaneswar, India, january 15–18, 2016 proceedings

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016年 9581卷

作者： Bjørner, Nikolaj Prasad, Sanjiva Parida, Laxmi Microsoft Research RedmondWA United States Indian Institute of Technology Delhi New Delhi India IBM Thomas J. Watson Research Center Yorktown HeightsNY United States

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Smart Home Electricity Demand Forecasting System Based on Edge computing 9

Smart Home Electricity Demand Forecasting System Based on Ed...

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9th IEEE international conference on Software Engineering and Service Science (ICSESS)

作者： Zhou, Sha Zhang, Lei Beijing Univ Posts & Telecommun Sch Comp Sci Beijing 100876 Peoples R China

ISBN: (纸本)9781538665657

As the development of the internet of things, many terminal devices are continually intelligent. However, with the increase of distributed terminal equipment and the diversification of business, cloud cemputmg technology cannot meet the needs of smart home. In consideration of the advantages of edge compunng and the demand of smart home, this paper proposes an smart home electricity demand forecasting system based on Edge Compunng with a short-term (24-stel)S) electricity demand forecasting. Ow' system utilizes intelligent home gateway to store heterogeneous data into a central repository where it will be processed and analyzed, and these analyzed data would then be used for forecasting local bundled resident electricity demand mainly at intelligent home gateway by acting as a local computing unit to provide edge computing service for residents. Besides, our system can also report the historical and real-time environmental data (indoor and outdoor) and electric data from intelligent home gateway. the experimental results demonstrate our system can provide better service quality and scalability with limited computing resources compared with simply using cloud compuung system only.

关键词： smart homes edge computing short-term electricity demand forecasting intelligent home gateway

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distributed Video Transcoding System for 8K 360° VR Tiled Streaming Service 9

Distributed Video Transcoding System for 8K 360° VR Tiled S...

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9th international conference on Information and Communication technology Convergence (ICTC)

作者： Kim, Yong-Hwan Huh, Jingang Jeong, Jinwoo KETI Intelligent Image Proc Res Ctr Seongnam Si South Korea

ISBN: (纸本)9781538650417

360 degrees Virtual Reality (VR) services with resolutions of 8K and beyond are a challenging task due to limits of both decoding complexity and constrained public internet bandwidth of consumer devices. Also, general streaming servers cannot service these large-resolution video streams to many clients because of bandwidth limitation. In this paper, we propose a distributed video transcoding system for achieving viewport adaptive streaming, which is known as tiled streaming, of 8K 360 degrees VR video. the proposed system consists of many motion-constrained High Efficiency Video Coding (HEVC) encoders, a Hadoop/Spark-based distributed computing platform, light-weight bitstream stitcher, and dual HEVC decoders. Experimental results show that 8K 360 degrees videos which are split by 8x8 tiles, respectively, can be encoded at 99 fps, and 4x4 tiles are stitched at 9,585 fps, on average.

关键词： 360 degrees video virtual reality distributed transcoding HEVC tiles bitstream stitching

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distributed computing and internet technology - 9th international conference, icdcit 2013, Proceedings

Distributed Computing and Internet Technology - 9th Internat...

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9th international conference on distributed computing and internet technology, icdcit 2013

ISBN: (纸本)9783642360701

the proceedings contain 45 papers. the topics discussed include: theoretical distributed computing meets biology: a review;participatory sensing: crowdsourcing data from mobile smartphones in urban spaces;energy efficient distributed computing on mobile devices;data insertion and archiving in erasure-coding based large-scale storage systems;medical software - issues and best practices;improved interference in wireless sensor networks;trust based secure gateway discovery mechanism for integrated internet and MANET;improving mapreduce performance through complexity and performance based data placement in heterogeneous hadoop clusters;online recommendation of learning path for an e-learner under virtual university;a parallel 2-approximation NC-algorithm for range assignment problem in packet radio networks;and an efficient localization of nodes in a sensor network using conflict minimization with controlled initialization.

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A real-time distributed index based on topic for microblogging system

A real-time distributed index based on topic for microbloggi...

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9th international conference on internet Multimedia computing and Service, ICIMCS 2017

作者： Chen, Zhikun Wang, Lu Yang, Shuqiang Beijing China Computer Department National University of Defense Technology ChangshaHunan China

ISBN: (纸本)9789811085291

With the development of internet technology and widely used in mobile devices, the microblogging systems such as Twitter and Sina Weibo in China have become the most important platform for people to retrieve information and communicate with each other. the real-time search became a big challenge for microblogging systems because of the volume of data and users. Existing approaches build all microblogs in an index which will increase the cost of index update and query. the search results could not satisfy users’ timely and high quality requirements. In this paper, we propose a new real-time distributed index based on topic (RDIBT), which can build index for each topic. those topical indices will be distributed to many sites, so it can improve the concurrently of queries. Extensive experiments demonstrate the effectiveness and efficiency of RDIBT on the real dataset. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Social networking (online)

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A Particle Swarm Optimization based Feature Selection Method for Accident Severity Analysis

A Particle Swarm Optimization based Feature Selection Method...

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IEEE international conference on Cyber technology in Automation, Control, and Intelligent Systems

作者： Chenye Qiu Xingquan Zuo Fei Xiang School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China National Computer Network Emergency Response Technical Team Coordination Center of China Beijing China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

Reducing accident severity is an effective mean to improve road safety level. Many researches have been done to identify the risky features which would influence the accident severity. Many risky features need to be considered when building accident severity analysis model, including driver, highway, vehicle, accident, and atmospheric factors. Some of those features are irrelevant of redundant. Using those features would decrease the performance of the prediction model and bring additional computational burden. However, there are very few researches on feature selection in accident severity analysis problem to date. In this paper, we propose a particle swarm optimization (PSO) based feature selection method for accident severity analysis. the proposed method can obtain a reduced number of feature subset from the original feature pool. In order to testify the method, the accident data of Beijing from 2008 to 2010 are used for experiment. Experimental results show the proposed PSO based feature selection method can significantly reduce the number of features while improving the classification accuracy. Moreover, it can provide better interpretation of the accident severity analysis model.

关键词： conferences Automation Control systems Intelligent systems

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A robust end-to-end neural network for scene text detection

A robust end-to-end neural network for scene text detection

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9th international conference on internet Multimedia computing and Service, ICIMCS 2017

作者： Yuan, Qi Li, Haojie Wang, Zhihui Fan, Xin Luo, Zhongxuan DUT-RU International School of Information & Software Engineering Dalian University of Technology Dalian China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province Dalian China

ISBN: (纸本)9789811085291

Scene text detection is an important task in computer vision. Many previous work require multi-step processing and are not robust against challenges, such as small-scales and blurring. In this paper, we propose a Multi-level Feature extraction Network (MLFN), which can capture more detailed information and is easy to train. We embed MLFN into the middle of an end-to-end network and achieve a better accuracy and robustness. the experiment results on ICDAR 2011 and ICDAR 2013 further demonstrate the effectiveness of our method. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Computers

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distributed computing security model based on type system 9th

Distributed computing security model based on type system

引用

9th international conference on Applications and Techniques in Information Security, ATIS 2018

作者： Huang, Yong Li, Yongsheng Jin, Qinggeng College of Software and Information Security Guangxi University for Nationalities Nanning530006 China College of Information Science and Engineering Guangxi University for Nationalities Nanning530006 China

ISBN: (纸本)9789811329067

Aiming at the problem of access control in distributed computing security model, a secure Seal calculus based on hybrid type detection is proposed. In order to realize the security policy that low security level information in the multi-level security system can only flow to equal or higher security levels, it establishes a security system with security level for Seal calculus, and uses static type detection to realize fine particle size access control efficiently. To solve the practical problems of channel control and security power reduction, an effective dynamic transformation framework based on mandatory type transformation is proposed. the static detection and dynamic detection are organically integrated to form a unified security model, which can not only guarantee the security of distribute computing, but also have good availability. © Springer Nature Singapore Pte Ltd 2018.

关键词： distributed computer systems

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SEDA-SOA: A Scalable Event-Driven context-Aware Service Oriented Architecture

SEDA-SOA: A Scalable Event-Driven context-Aware Service Orie...

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international conference on computing, Communication and Networking Technologies

作者： Majid Ayoubi Sadam Ravichandra Dept. of Computer Science and Engg. National Institute of Technology Warangal Warangal India

the increase in the number of internet of things (IoT) devices and their vast streaming data, results in data explosion. Context awareness has also become essential in software applications for better service delivery to users. It poses the urgent need for scalable integrated software systems which can analyze, store, extract meaningful events and to deliver information to the customers in real-time considering their context. A highly scalable architecture is proposed which uses distributed queues for decomposability and comprises of three functional components. 1. distributed complex event integrated system where each of the complex event processing engines are taking care of event detection, 2. the context detection module which extracts contextual information and match them with detected events and, 3. A notification module and an application programming Interface is provided for the bulk alert information delivery. the presented model evaluation shows that our system well suits the current trend and requirements of IoT applications.

关键词： internet of things SOA Context Awareness Event Detection

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