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hhhwwwhw's Stars

• xx025/carrot

  Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点

  16.9k1477791.4k

• Heroic-Studio/Google-Mirrors

  Google谷歌、Wikipedia维基百科、谷歌学术镜像2024最新 新增各种镜像站

  1.2k3326124

• Wscats/CV

  :see_no_evil:Front End Engineer Curriculum Vitae - 面试宝典和简历生成器

  Language:HTML1k8734203

• google/cluster-data

  Borg cluster traces from Google

  Language:TeX874390187

• rileycai/FontEndInterview

  前端面试宝典-2020 届硕士- web前端 - 春招&秋招前端面试复习资料

  698178110

• filecoin-saturn/L1-node

  Filecoin Saturn L1 Node • The edge cache layer of Filecoin's decentralized CDN 🪐

  Language:JavaScript1411625449

• Frost-Armor/Multi-Agent-Reinforcement-Learning-in-NOMA-Aided-UAV-Networks-for-Cellular-Offloading

  Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'

  Language:Python63118

• qiongwu86/Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing

  Language:Python61139

• qiongwu86/Cooperative-Caching-in-VEC-Based-on-Asynchronous-FL-and-DRL

  Language:Python521417

• LT-5945/MEC

  PSO和蚁群算法解决MEC计算卸载问题

  Language:MATLAB431510

• qiongwu86/Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning

  Language:Python43127

• qlt315/JO-CDSD

  Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC''

  Language:MATLAB40117

• LCBHSStudent/vanet-edge-caching-based-on-deep-reinforcement-learning

  Deep Reinforcement Learning for Cooperative Edge Caching in Vehicular Networks

  Language:Python28148

• DarriusL/CoCheLab

  Code for the content caching algorithm in edge caching.

  Language:Python19744

• salubinseid/mobility-aware-caching-iov-icn

  Mobility-Aware Proactive Edge Caching OptimizationScheme in Information-Centric IoV Networks

  Language:Python19145

• mathchi/Customer-Segmentation-with-RFM-Analysis

  Context A real online retail transaction data set of two years. Content This Online Retail II data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011.The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers. Column Descriptors InvoiceNo: Invoice number. Nominal. A 6-digit integral number uniquely assigned to each transaction. If this code starts with the letter 'c', it indicates a cancellation. StockCode: Product (item) code. Nominal. A 5-digit integral number uniquely assigned to each distinct product. Description: Product (item) name. Nominal. Quantity: The quantities of each product (item) per transaction. Numeric. InvoiceDate: Invice date and time. Numeric. The day and time when a transaction was generated. UnitPrice: Unit price. Numeric. Product price per unit in sterling (£). CustomerID: Customer number. Nominal. A 5-digit integral number uniquely assigned to each customer. Country: Country name. Nominal. The name of the country where a customer resides. Acknowledgements Here you can find references about data set: https://archive.ics.uci.edu/ml/datasets/Online+Retail+II and Relevant Papers: Chen, D. Sain, S.L., and Guo, K. (2012), Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197-208. doi: [Web Link]. Chen, D., Guo, K. and Ubakanma, G. (2015), Predicting customer profitability over time based on RFM time series, International Journal of Business Forecasting and Marketing Intelligence, Vol. 2, No. 1, pp.1-18. doi: [Web Link]. Chen, D., Guo, K., and Li, Bo (2019), Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study, 24th Iberoamerican Congress on Pattern Recognition (CIARP 2019), Havana, Cuba, 28-31 Oct, 2019. Laha Ale, Ning Zhang, Huici Wu, Dajiang Chen, and Tao Han, Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network, IEEE Internet of Things Journal, Vol. 6, Issue 3, pp. 5520-5530, 2019. Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle, Prefix and Suffix Sequential Pattern Mining, Industrial Conference on Data Mining 2018: Advances in Data Mining. Applications and Theoretical Aspects, pp. 309-324. 2018. Inspiration This is Data Set Characteristics: Multivariate, Sequential, Time-Series, Text

  Language:Jupyter Notebook183

• SPSO-GA/dataset

  Language:Python8101

• srujanc5/Documentation

  Matlab codes and data for the paper "Dynamic Cache Management In Content Delivery Networks"

  Language:Matlab72

• Venkatraman9214/Edge-Boost-Vanilla-Framework

  This is a prototype simulation model of Mobile Device Cloud Caching in 5G using device to device interaction.

  Language:MATLAB7201

• suman17july/caching

  Community Oriented Edge and In-Network Caching

  3200

• yhye97/lms

  LMS using Machine Learning Base Station Selection and Edge Contents Caching

  Language:Jupyter Notebook3

• arschles/hrana

  A simple edge cache

  Language:Java220

• haniehst/Edge-Caching

  Language:MATLAB2

• weibingjie/Maximum-weighted-throughput-algorithm

  Matlab code for my paper "Flow Control Oriented Forwarding and Caching in Cache-Enabled Networks"

  Language:MATLAB2

• carlosfrias/apigee-opdk-cache-update

  This role updates the local cache with facts used for installation and maintenance operations on Edge.

  1

• Mbaapoh/-Deploy-Static-Website-on-AWS

  The whole project has two major Objectives: * Hosting a static website on AWS S3 * Accelerated access to the static Website content using CloudFront propretory content delivery network for AWS. CloudFronts helps to bring the content closer to the user via edge location caching and this helps in reducing latency and thus increasing transfer speed KEY STEPS FOR PROJECCT COMPLETION - Created an S3 bucket and makes it public so that it can serve the static content over the internet - Uploaded the staic contents to the S3 bucket - Set appropried Iam policies for the bucket and also configure the bucket to servce static content - Configure the CloudFront to cache the static content closer to the users - Tested website in a browser using the unique CloudFront endpoint

  1

• mrq94/supplyment-information

  This is the supplymentary information for "Enabling Edge Caching Through Full-duplex Non-Orthogonal Multiple Access"

  1

• runway7/catapult

  Use Google's Edge Cache CDN for a highly distributed network with SPDY/HTTP2 support.

  1300

• ruqiuMa/Supplementary-Information

  Supplementary Information for “ Enabling Edge Caching Through Full-duplex Non-orthogonal Multiple Access

  1

• ruqiuMa/Supplementary-Information-for-Enabling-Edge-Caching-Through-Full-duplex-Non-Orthogonal-Multiple-Ac

  Supplementary Information for “ Enabling Edge Caching Through Full-duplex Non-Orthogonal Multiple Access

  1