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acs

Advanced Cloud Simulator

adaptdl

Resource-adaptive cluster scheduler for deep learning training.

ai4k12

Interim web space for the "AI for K-12" initiative

angular-desktop-app

This is a simple application skeleton to create desktop application using AngularJS. This application is using node-webkit as our desktop host, bower to install client-side libraries as well as normal npm modules as supported by node-webkit.

caotianqi

cassius

monitor linux file system events

cloudsim

CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services

cloudsim-plus

A modern, full-featured, highly extensible and easier-to-use Java 8+ Framework for Cloud Computing Simulation

cloudsync

A small shell script for keeping my documents in sync with multiple cloud storage providers

coding-art

Coding Art with Python Turtle in Browsers

css

A mostly reasonable approach to CSS and Sass.

cubes

Light-weight Python OLAP framework for multi-dimensional data analysis

dac

cqbe is a p2p certificate solution that decentralizes authority and provides highly available p2p certificate and revocation storage.

drifting-data-in-continuous-time

A probability theoretic approach to drifting data in continuous time domains

edgecloudsim

EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

edgecloudsimreport

eeavt

A Energy Efficient Assigning Verification Tasks on Cloud Storage

email-app

Simple HTML5/CSS3 design of an email application

emailjs

html emails and attachments to any smtp server with nodejs

energy-aware-compute-strategy

The growth of data volume and the popularity of mobile devices have spawned a large number of low-latency, high-computing applications. At the same time, under the wave of global new energy, the energy efficiency utilization of electronic equipment has also received more and more attention. Due to a large delay and occupying the large bandwidth of cloud computing, and the limited computing power of end devices, mobile edge computing is considered to be the best way to achieve low latency of complex tasks. Wifi routers can provide high bandwidth and can work as intermediate nodes for forwarding tasks. In this report, we propose to use dynamic programming based on wifi routers to dynamically schedule computing tasks to edge computing nodes to achieve maximum bandwidth utilization, under the energy consumption constraint of the user. The experiment result shows that the DP method compared the with other three traditional algorithms can get higher bandwidth by using less Energy cost and fewer numbers workers. Besides, we can effectively search for the last phase Table to save much time by using Computation Reusability.

express

Fast, unopinionated, minimalist web framework for node.

expressq

集成好的express框架，各种常用工具封装

fcm_granularcomp

DRA in 2018Fall. Granular Computing in data analysis based on Fuzzy C-mean Clustering

feup-sdis-budibox

A P2P cloud storage service for Linux and Windows

fgc

Fundamentals of Granular Computing

filetrack

Project dedicated to monitor directory / file changes in Linux

gantt

Common scheduler for OpenStack.

geekband-cpp-1501-homework

极客班第一期学员的C++作业请提交到这里，按照自己的学生编号创建文件夹

gremlins.js

Monkey testing library for web apps and Node.js

guoyanhong