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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121-130 订阅

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Logistics Vehicle Travel Preference of Interest Points Based on Speed and Accessory State 9th

Logistics Vehicle Travel Preference of Interest Points Based...

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9th international conference on internet and distributed computing Systems (IDCS)

作者： Xiong, Shengwu Kuang, Li Duan, Pengfei Shi, Wei Wuhan Univ Technol Sch Comp Sci & Technol Wuhan Peoples R China Hubei Key Lab Transportat Internet Things Wuhan Peoples R China

ISBN: (纸本)9783319459394;9783319459400

In a crowded city, directions and speed of vehicles are usually changed arbitrarily. Analyzing travel preferences of vehicle has become a focus of research as it helps to classify region of interest in city and can be used in personalized recommendation and many other areas of application. In this paper, a travel identification method based on vehicle speed and Accessory (ACC) State is proposed. Continuously classifying and merging the trajectory points in GPS data stream, the travel activities of vehicle is extracted. It can provide a basis of data for the research on hot spots and support the research and application of vehicle trajectory data mining in areas of intelligent transportation and logistics.

关键词： Vehicle speed ACC state Travel identification Hot spots Logistics vehicle

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6th international conference on internet of Vehicles and the 9th international Symposium on Cloud and Service computing, IOV/SC2 2019

6th International Conference on Internet of Vehicles and the...

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6th international conference on internet of Vehicles and the 9th international Symposium on Cloud and Service computing, IOV/SC2 2019

ISBN: (纸本)9783030386504

the proceedings contain 32 papers. the special focus in this conference is on internet of Vehicles. the topics include: Multi-class Vehicle Detection Using Multi-scale Hard Negative Mining;predicting Steering for Autonomous Vehicles Based on Crowd Sensing and Deep Learning;uNVMe-TCP: A User Space Approach to Optimizing NVMe over Fabrics TCP Transport;an Ethereum-Based Data Synchronization Platform for distributed Networks;distributed Logging Service with distributed Hash Table for Cloud;FLEDGE: Kubernetes Compatible Container Orchestration on Low-Resource Edge Devices;accelerated Promethee Algorithm Based on Dimensionality Reduction;implementing a Business/technology Architecture Alignment-Oriented Process Applied to the Social-Sanitary Sector;a Lightweight Time Series Main-Memory Database for IoT Real-Time Services;uplink Access Control in Narrowband IoT;a Review on Blockchain-Based Systems and Applications;tuning Runtimes in Open Source FaaS;achieving Dynamic Resource Allocation in the Hadoop Cloud System;qCUDA-ARM: Virtualization for Embedded GPU Architectures;a Workflow Interoperability Approach Based on Blockchain;Air Pollution Forecasting Using LSTM-Multivariate Regression Model;human-Centered Design Tools for Smart Toys;edge Service Migration for Vehicular Networks Based on Multi-agent Deep Reinforcement Learning;a Road Traffic Guidance Service Based on Deep Reinforcement Learning;expanAI: A Smart End-to-End Platform for the Development of AI Applications;Dynamic Path Planning Method Based on Cluster Queuing Communication in VANET;smoke and Stress Tests for Travel Service Applications via LoadRunner;privacy-Preserving Content-Based Publish/Subscribe Service Based on Order Preserving Encryption;improve the House Price Prediction Accuracy with a Stacked Generalization Ensemble Model;Performance Evaluation of Citywide Intersections Traffic Control Algorithm inVANETs-Based;Task Planning with Manual Intervention Using Improved JSHOP2 Planner.

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Preserving Performance and Reducing Energy Consumption: A Two-Phase Scheduling Approach in Cloud computing Environments 9

Preserving Performance and Reducing Energy Consumption: A Tw...

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Joint 9th international conference on Digital Arts, Media and technology with 7th ECTI Northern Section conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2024

作者： thanavanich, thanawut Kantawong, Krittika Yaibuates, Mayoon Duangtang, Pumipong Siri, Atikhom Sriwanna, Kittakorn Chiang Rai Rajabhat University Faculty of Digital Technology Department of Computer Engineering Chiang Rai Thailand University of Phayao School of Information and Communication Technology Department of Digital Business Phayao Thailand

ISBN: (纸本)9798350318241

Cloud computing has evolved significantly, transitioning from traditional on-demand architectures to decentralized, multi-provider models. this shift is pivotal for enhancing connectivity in the internet of things and data-intensive computing. While accessing shared online resources, effective task scheduling is crucial for optimal service performance. However, the challenge persists in balancing resource optimization with potential issues like energy wastage or service performance degradation. this study proposes a two-phase scheduling approach in distributed computing, addressing the balance between performance preservation and energy reduction. the method seamlessly integrates with existing algorithms, employing a prescheduling phase followed by a model to estimate processors, minimizing underutilization. Experimental results highlight its contribution to energy-efficient scheduling, emphasizing a nuanced balance between performance and energy consumption. the approach employs a mathematical model to determine suitable processors, providing versatile options for computational resource providers, aiming for energy-conscious and performance-oriented solutions. © 2024 IEEE.

关键词： Cloud computing

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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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Simulation for urban computing scenarios: An overview and research challenges 10

Simulation for urban computing scenarios: An overview and re...

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10th IEEE international conference on Cyber Security and Cloud computing and 9th IEEE international conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Wu, Lin Yang, Guogui Yan, Jintao Ran, Shuguang Zhao, Baokang Zhou, Huan National University of Defense Technology Changsha410073 China

ISBN: (纸本)9798350312461

Urban computing is an emerging computing paradigm for processing urban data to serve urban applications, which is an important manner to realize smart cities. To be specific, cloud computing and edge computing are usually leveraged to support urban computing. As a distributed and extended solution for cloud computing, edge computing is capable of providing better data services for IoT devices. However, edge computing resources are widely distributed and edge devices are highly mobile. To guarantee the QoS (Quality of Service), it is challenging to decide where to distribute the computing resources according to edge devices, especially around a specific urban area. therefore, it is essential to simulate and verify the solution through evaluation tools before practical deployment in urban scenarios. But urban computing is a relatively new paradigm, there are few evaluation tools for direct usage. To provide hints for useful tools, we perform a survey study on existing evaluation tools for edge computing, which can be somehow applied to urban computing. In this paper, we first classify and define the evaluation tools into three categories: simulators, emulators, and testbeds. then we perform a comprehensive study on the above three categories. Finally, we conclude the research challenges for urban computing based on current evaluation tools. © 2023 IEEE.

关键词： Testbeds

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Inter-connection automation for OF@TEIN multi-point international OpenFlow Islands 9

Inter-connection automation for OF@TEIN multi-point internat...

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9th international conference on Future internet Technologies, CFI 2014

作者： Na, Taeheum Kim, Jongwon School of Information and Communications Gwangju Institute of Science and Technology Gwangju Korea Republic of

ISBN: (纸本)9781450329422

In realizing futuristic services with agility, testbed environments that provide converged computing/networking resources based on SDN (Software-Defined Networking) and CC (Cloud computing) are becoming important. Following this trend, OF@TEIN OpenFlow-enabled SDN testbed environment is built with internationally-distributed unique SmartX Racks. In this paper, to automate the multi-point L2 inter-connections of OpenFlow islands, we design and implement a configuration tool for NVGRE (Network Virtualization using Generic Routing Encapsulation) tunneling. the proposed tool manages the desired topology by leveraging the OVSDB (Open vSwitch Database) configuration interface for OpenFlow switches. With the implemented tool and appropriate admin/user privilege management, we can quickly inter-connect the multi-point international OpenFlow islands while letting users to freely control (i.e., tag/steer/map) their own flows for experimentation. © 2014 ACM.

关键词： Software defined networking

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MODGF: Multi-Objective Optimization Approach for Directed Greybox Fuzzing 25

MODGF: Multi-Objective Optimization Approach for Directed Gr...

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25th IEEE international conferences on High Performance computing and Communications, 9th international conference on Data Science and Systems, 21st IEEE international conference on Smart City and 9th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Zuo, Xueying Song, Yubo Mao, Run Qin, Zhongyuan Sun, Xin School of Cyberspace Security Southeast University Nanjing China Internet Technology Center State Grid Zhejiang Electric Power Co. Ltd. Research Institute Hangzhou China

ISBN: (纸本)9798350330014

Directed Greybox Fuzzing employs code analysis to predict critical paths or potential vulnerabilities. Multi-objective optimization is a challenge to Directed Greybox Fuzzing. Current approaches employ evolutionary algorithms which may trap in local optima during mutation operation procedure. In this paper, we propose MODGF, a Directed Greybox Fuzzing method based on the elitist multi-objective evolutionary algorithm. the key insight of our approach is to get a more diverse distribution along the Pareto front during evolutionary iterations, which speed the convergence of the test cases. In MODGF, we use function distance, basic block distance, and seed distance as objective functions, and calculate distance metrics of the nearest neighbor solutions to infer the distribution density of solutions. We further introduce convergence measure and diversity measure as fitness values to ensure that the generated test cases are more uniformly distributed with more vulnerability types. In comparison to AFL and AFL-GO, the experiment reveals that MODGF exhibits significant performance enhancements in terms of convergence time, target function coverage, and vulnerability triggering efficiency. © 2023 IEEE.

关键词： Multiobjective optimization

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Demand Response Scheme: Achieving Sustainability in distributed Data Processing 9

Demand Response Scheme: Achieving Sustainability in Distribu...

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9th IEEE international conference on Data Science in Cyberspace, DSC 2024

作者： Zhai, Xueying Peng, Yunfeng Guo, Xiuping Zhang, Liang Zhang, Wei University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China Beijing University of Posts and Telecommunications School of Economics and Management Beijing China Guizhou Institute of Technology Guizhou Key Laboratory of Electric Power Big Data Guizhou China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China

ISBN: (纸本)9798350391367

the rapid development of internet of things (IoT) technology has driven the intelligent transformation of various industries, including manufacturing, agriculture, and healthcare, etc., significantly enhancing their management capabilities and decision-making efficiency. Data analysis is crucial, serving as both the core technology of this transformation and a major driving force for advancing industry intelligence. However, the increasing volume of data has led to high energy consumption during data analysis, posing significant challenges to environmental and economic sustainability. Integrating renewable energy sources (RESs) is an effective way to reduce greenhouse gas emissions due to their low-carbon and renewable nature. Additionally, the spatiotemporal variability and complementarity of RES generation and grid electricity prices provide favorable conditions for distributed data processing. therefore, a two-stage demand response scheme is proposed to reduce carbon emissions and electricity costs by prioritizing data processing in data centers (DCs) where RES is abundant or electricity prices are low, based on RES generation and electricity price signals. Simulation results show that the proposed scheme reduces 36.37% carbon emissions and 20.49% electricity costs compared to the benchmark algorithm, indicating its potential for both environmental and economic optimization. © 2024 IEEE.

关键词： Low emission

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Proceedings of the international conference on Cloud computing technology and Science, CloudCom

Proceedings of the International Conference on Cloud Computi...

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9th IEEE international conference on Cloud computing technology and Science, CloudCom 2017

ISBN: (纸本)9781538606926

the proceedings contain 52 papers. the topics discussed include: self-regulated multi-criteria decision analysis: an autonomous brokerage-based approach for service provider ranking in the cloud;traffic-aware virtual machine placement in cloudlet mesh with adaptive bandwidth;re-designing cloud platforms for massive scale using a P2P architecture;a tale of two systems: using containers to deploy HPC applications on supercomputers and clouds;virtual network function placement: towards minimizing network latency and lead time;online phase detection and characterization of cloud applications;PCAD: cloud performance anomaly detection with data packet counts;decentralized search for shortest path approximation in large-scale complex networks;supporting internet-of-things analytics in a fog computing platform;ELLIS: dynamically scaling distributed dataflows to meet runtime targets;a preliminary review of enterprise serverless cloud computing (function-as-a-service) platforms;resource cages: a new abstraction of the hypervisor for performance isolation considering IDS offloading;a framework and task allocation analysis for infrastructure independent energy-efficient scheduling in cloud data centers;on the performance and cost of cloud-assisted multi-path bulk data transfer;quantifying the financial value of cloud investments: a systematic literature review;and on edge cloud service provision with distributed home servers.

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Federated login to TeraGrid 10

Federated login to TeraGrid

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9th Symposium on Identity and Trust on the internet, IDtrust 2010

作者： Basney, Jim Fleury, Terry Welch, Von National Center for Supercomputing Applications University of Illinois 1205 West Clark Street Urbana IL 61801 United States

We present a new federated login capability for the TeraGrid, currently the world9;s largest and most comprehensive distributed cyberinfrastructure for open scientific research. Federated login enables TeraGrid use... 详细信息

ISBN: (纸本)9781605588957

We present a new federated login capability for the TeraGrid, currently the world's largest and most comprehensive distributed cyberinfrastructure for open scientific research. Federated login enables TeraGrid users to authenticate using their home organization credentials for secure access to TeraGrid high performance computers, data resources, and high-end experimental facilities. Our novel system design links TeraGrid identities with campus identities and bridges from SAML to PKI credentials to meet the requirements of the TeraGrid environment. © 2010 ACM.

关键词： Grid computing

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