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检索条件"任意字段=17th International Conference on Collaborative Computing: Networking Applications and Worksharing"

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collaborative Model for Developing computing Skills in Basic Education 17

Collaborative Model for Developing Computing Skills in Basic...

引用

17th international conference on Computer Supported Education, CSEDU 2025

作者： Scheffel, Erica J.S. Schneider, Daniel Motta, Claudia L.R. Postgraduate Program in Computer Science Universidade Federal do Rio de Janeiro Brazil Institute Tércio Pacitti of Computational Applications and Research Universidade Federal do Rio de Janeiro Brazil

ISBN: (纸本)9789897587467

Following the recent inclusion of computational skills in Brazil's basic education curriculum, this study explores A+Comp, a gamified, collaborative virtual learning environment designed to enhance computational education. Inspired by online social networks and digital games, A+Comp integrates elements like virtual currency and interactive challenges. the platform aims to boost user participation and mitigate engagement disparities using the Experiential Learning Cycle and Positive Feedback Model. By combining cognitive, conative, and executive function theories with system design, the research assesses the impact of gamification and collaboration on computational competency acquisition, contributing to the discussion on innovative, inclusive learning technologies. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Social networking (online)

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collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers 19th

Collaborative Task Processing and Resource Allocation Based...

引用

19th EAI international conference on collaborative computing: networking, applications and worksharing, CollaborateCom 2023

作者： Shi, Lei Feng, Shilong Ji, Rui Xu, Juan Ding, Xu Zhan, Baotong School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China Institute of Industry and Equipment Technology Hefei University of Technology Hefei230009 China Taian Hualu Metalforming Machine Tool Co. Ltd. Shandong Taian271000 China

ISBN: (纸本)9783031545207

Mobile Edge computing (MEC), an emerging computing paradigm, shifts computing and storage capabilities from the cloud to the network edge, aiming to meet the delay requirements of emerging applications and save backhaul network bandwidth. However, compared to cloud servers, MEC servers have limited computing and storage capabilities, which cannot meet the massive offloading demands of users during high-load periods. In this context, this paper proposes a multi-ENs collaborative task processing model. the model aims to formulate optimal offloading decisions and allocate computing resources for tasks to minimize system delay and cost. To solve this problem, we propose an online algorithm based on Lyapunov optimization called OKMTA, which can work online without the need for predicting future information. Specifically, the problem is formulated as a mixed-integer nonlinear programming (MINLP) problem and decomposed into two subproblems for solution. By using the Lagrange multiplier method to solve the computing resource allocation problem of tasks, and by using matching theory to solve the offloading decision problem of tasks. the simulation results show that our algorithm can achieve near-optimal delay performance while satisfying the long-term system average cost constraint. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Resource allocation

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Availability-Constrained Application Deployment in Hybrid Cloud-Edge collaborative Environment 18th

Availability-Constrained Application Deployment in Hybrid Cl...

引用

18th European-Alliance-for-Innovation (EAI) international conference on collaborative computing - networking, applications and worksharing (CollaborateCom)

作者： Xu, Wei Tang, Bing Guo, Feiyan Zhang, Xiaoyuan Hunan Univ Sci & Technol Sch Comp Sci & Engn Xiangtan 411201 Peoples R China Hunan Univ Sci & Technol Hunan Key Lab Serv Comp & Novel Software Technol Xiangtan 411201 Peoples R China

ISBN: (纸本)9783031243820;9783031243837

Cloud computing offers strong availability and lower cost, while edge computing has lower delay. Deployment of applications by placing microservices in containers in a cloud-edge collaborative environment is adopted by more and more enterprise application providers. For users, they care more about application response time and application availability. For application providers, they also need to save deployment costs to the maximum extent. therefore, the application deployment in hybrid cloud-edge collaborative environment is a multi-objective optimization problem. In this paper, a genetic algorithm named DP-GA based on improved NSGA-II has been proposed to solve the multi-objective NP-hard problem. We balance the two objectives of minimizing deployment cost and average response time under availability constraints. Using the real dataset of Shanghai Telecom, the experimental results show that the proposed DP-GA is superior to the existing methods, reducing average response time by about 35% and saving deployment cost by about 15%.

关键词： Composite application Microservice deployment Availability Genetic algorithm Cloud-edge collaboration

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An Efficient Scheduling Strategy for Containers Based on Kubernetes 18th

An Efficient Scheduling Strategy for Containers Based on Kub...

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18th European-Alliance-for-Innovation (EAI) international conference on collaborative computing - networking, applications and worksharing (CollaborateCom)

作者： Zhang, Xurong Wang, Xiaofeng Liu, Yuan Deng, Zhaohong Jiangnan Univ Sch Artificial Intelligence & Comp Sci Wuxi Jiangsu Peoples R China Peng Cheng Lab Shenzhen Peoples R China

ISBN: (纸本)9783031243820;9783031243837

Container clouds are an important supporting technology for collaborative edge computing, and Kubernetes has become the de facto standard for container orchestration. To solve the problem that the scheduling mechanism of Kubernetes has a single scheduling resource index and is unable to adapt the refined resource scheduling requirements in collaborative edge computing, this paper proposes an efficient multicriteria container online scheduling strategy based on Kubernetes, named E-KCSS. To improve the resource utilization of the cluster, the proposed E-KCSS strategy takes into account the global view of edge nodes and containers. An adaptive weight mechanism based on real-time utilization is proposed to solve the problem that preset Kubernetes weighting coefficients do not meet the individual resource requirements of applications. the experimental results show that compared with the scheduling mechanism of Kubernetes, the deployment efficiency of E-KCSS is improved by 35.22%, the upper limit of container application deployment is increased by 29.82%, and the cluster resource imbalance is reduced by 6.87%, which can make the multi-dimensional resource utilization of the cluster more balanced.

关键词： collaborative edge computing Kubernetes Container online scheduling strategy Adaptive weight mechanism Resource utilization

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Distributed Sensing and collaborative Edge computing for LEO Constellations 17

Distributed Sensing and Collaborative Edge Computing for LEO...

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17th international conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Jaipuria, Saumya Banerjee, Ansuman Paul, Himadri Sekhar Indian Statistical Institute India TCS Research India

ISBN: (纸本)9798331531195

In recent years, constellations of low Earth orbit (LEO) satellites are being used extensively for a wide multitude of remote sensing applications starting from forest fire imaging to maritime applications like tracking of enemy ships. these satellites fly in low earth orbits and collectively image a wide area for data collection. Traditionally, satellites are used as passive sensing devices, which sense and download observations to Earth bound ground stations. this mechanism at times faces transfer bottlenecks and significantly limits the number of image collections. Building on recent developments in orbital edge computing, wherein small satellites are also equipped with computing power, this paper proposes an integrated sense and compute framework for these satellite constellations. Given a set of regions of interest to be imaged, we propose an integer linear programming (ILP) based solution approach to set up a collect communicate compute schedule that can maximize the number of region images collected and analyzed. We present preliminary experimental results of our framework on simulated datasets. © 2025 IEEE.

关键词： Small satellites

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collaborative Mobile Edge computing through UPF Selection 18th

Collaborative Mobile Edge Computing Through UPF Selection

引用

18th European-Alliance-for-Innovation (EAI) international conference on collaborative computing - networking, applications and worksharing (CollaborateCom)

作者： Li, Yuanzhe Zhou, Ao Ma, Xiao Wang, Shangguang Beijing Univ Posts & Telecommun Beijing Peoples R China

ISBN: (纸本)9783031243851;9783031243868

the distributed deployment and the relatively limited resource of one edge node make it quite challenging to effectively manage resources at the edge. Inappropriate scheduling may result in a quality of service deterioration and brings significant cost. In this paper, we propose a per-user level management mechanism for joint scheduling of user requests and container resources at the edge and study how to minimize average cost as well as satisfy delay constraints. the cost model of the system consists of operating cost, switching cost and delay violation cost. the key idea is to deploy a deep reinforcement learning-based scheduler in the core network to conduct joint network and computation management. To evaluate the performance, we build a test bed namely MiniEdgeCore that contains a full user plane protocol stack and deploy a real-time video inference application on it. A real-world dataset is used as the workload sequence to conduct experiments. the results show that the proposed method can reduce average costs effectively.

关键词： Mobile edge computing 5G Request dispatching Container management

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A Code Completion Approach Combining Pointer Network and Transformer-XL Network 19th

A Code Completion Approach Combining Pointer Network and Tr...

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19th EAI international conference on collaborative computing: networking, applications and worksharing, CollaborateCom 2023

作者： Zhang, Xiangping Liu, Jianxun Long, Teng Hu, Haize School of Computer Science and Engineering Hunan University of Science and Technology Hunan Xiangtan411100 China Hunan Key Lab. for Services Computing and Novel Software Technology Hunan University of Science and Technology Hunan Xiangtan411100 China

ISBN: (纸本)9783031545207

Code completion is an integral component of modern integrated development environments, as it not only facilitates the software development process but also enhances the quality of software products. By leveraging large-scale codes to learn the probability distribution among code token units, deep learning methods have demonstrated significant improvements in the accuracy of token unit recommendations. However, the effectiveness of code completion with deep learning techniques is hindered by information loss. To alleviate the above problem, we proposed a code language model which combines the pointer network and Transformer-XL network to overcome the limitations of existing approaches in code completion. the proposed model takes as input the original code fragment and its corresponding abstract syntax tree and leverages the Transformer-XL model as the basis model for capturing long-term dependencies. Furthermore, we integrate a pointer network as a local component to predict the out-of-vocabulary words. the proposed method is evaluated on real PY150 and JS150 datasets. the comparative experimental results demonstrate the effectiveness of our model in improving the accuracy of the code completion task at the token unit level. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Probability distributions

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Enhancing Productivity and User Experience with Advanced Notepad: A Comprehensive Study 10

Enhancing Productivity and User Experience with Advanced Not...

引用

17th INDIACom;2023 10th international conference on computing for Sustainable Global Development, INDIACom 2023

作者： Solanki, Chetna Bana, Garima Singh, Royal Goyal, Mayank Kumar Sharan, Bhagwati Gupta, Raj School of Engineering and Technology Sharda University Department of Computer Science and Applications Greater Noida India School of Engineering and Sciences Srm University-AP Department of Computer Science and Engineering Amaravati India

ISBN: (纸本)9789380544472

the current work outlines the creation of a system to facilitate collaborative software design. Based on the observation of system use during real-world design sessions, an iterative development strategy has been employed. As a result, we can fix interface flaws and gain additional knowledge about collaborative design. the proposed work is based on developing an advanced Notepad using Python and Tkinter Library to enhance productivity and user experience. It will provide the user with multiple themes and Fonts. the work is experimented using Visual Studio Code. the outcomes provide better quality of user experience. Additionally, we observe how conceptions change over time, frequently resulting in quick revisions that change the structure. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Sentiment analysis

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Task Offloading in UAV-to-Cell MEC Networks: Cell Clustering and Path Planning 19th

Task Offloading in UAV-to-Cell MEC Networks: Cell Clusterin...

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19th EAI international conference on collaborative computing: networking, applications and worksharing, CollaborateCom 2023

作者： Li, Mingchu Qi, Wanying Li, Shuai School of Software Technology Dalian University of Technology Dalian116620 China

ISBN: (纸本)9783031545276

When a natural disaster occurs, ground base stations (BSs) are destroyed and cannot provide communication services. Rapid restoration of communication is of great significance to the lives of trapped persons. this paper studies the problem of unmanned aerial vehicle (UAV) equipped with mobile edge computing (MEC) servers to provide communication and computing services for ground users in the scenario where the ground infrastructure is destroyed. We designed a UAV-to-Cell offloading system, which provides services in units of cells. By determining the hover locations (HLs) and trajectories, the UAV can handle more tasks with limited battery energy. Since tasks have time limit requirements, the order of processing will affect the task data size of the system. We solve this problem by joint cell clustering and path planning. Among them, elliptic clustering is used to divide the cells, the 3D position of the UAV is determined according to the quality of user service, and the double deep Q-network (DDQN) algorithm is used to determine the trajectory of the UAV. Simulation experiments demonstrate the effectiveness and efficiency of our proposed strategy by comparing it with the baselines. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Mobile edge computing

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Proceedings of the 17th INDIACom;2023 10th international conference on computing for Sustainable Global Development, INDIACom 2023

Proceedings of the 17th INDIACom;2023 10th International Con...

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17th INDIACom;2023 10th international conference on computing for Sustainable Global Development, INDIACom 2023

ISBN: (纸本)9789380544472

the proceedings contain 293 papers. the topics discussed include: empirical study on real time people counting using deep learning;peer-to-peer self-driving car rental: a case study on the development and limitations of a novel transport system;classification and comparative analysis of earth's nearest objects using machine learning models;efficient skin lesion based classification system for monkeypox detection using VGG16 and ensemble learning;exploring the efficiency of text-similarity measures in automated resume screening for recruitment;performance analysis of external modulators for use in future wireless applications;a nudity detection algorithm for web-based online networking platform;systematic review of dyslexia detection approaches based on physiological traits;automatic test case generation framework for changed code using modified AEO algorithm in regression testing;and human activity recognition with smartphone using classical machine learning models.

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