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manoelcampos / cloudsimplus

Star 265

State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 17+ tool for cloud computing research 🎓

java research simulation iaas paas saas trace simulation-framework cloud-computing cloud-simulation cloud-infrastructure test-bed auto-scaling cloudsimplus cloudsim workload load-balancing cloudsim-simulator google-cluster-data java-17
  • Updated Dec 23, 2021
  • Java

jppf-grid / JPPF

Star 50
Open

Add a QUICKSTART.md

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lolocohen
lolocohen commented Mar 30, 2019

What do you propose?

The idea is to create a quick start document at the root of the repo, to illustrate how to quickly get started with JPPF, like an end-to-end HelloWorld. This would include how to setup and start a grid, full code example and expected output.

We shouldalso add a link to it in the main readme.md

What are the expected benefits and drawbacks?

The expectation is

Read more
good first issue task [documentation]

computer-science-engineering / learning-computer-science

Star 26

Learning data structures, algorithms, machine learning and various computer science constructs by programming practice from resources around the web.

learning computer-science distributed-systems machine-learning practice algorithms leetcode notes interview competitive-programming hackerrank data-structures cloud-computing interview-questions learning-by-doing coding-challenges interviewbit technical-interviews cs-books
  • Updated Mar 31, 2022
  • Java

James-QiuHaoran / distributed-computing-platform-mapreduce

Star 9

This repository contains a simple Hadoop-like (MapReduce) distributed computing platform implemented in Java. It is extended from a course project at UIUC awarded the best Java version implementation and it's open-sourced for reference.

distributed-systems hadoop distributed-computing cloud-computing mapreduce distributed-file-system membership-management failure-detection hadoop-mapreduce hadoop-framework cloud-computing-applications
  • Updated Apr 17, 2021
  • Java

Abhineeth09 / Image-Recognition-as-a-Service

Star 2

The project aims to build an Elastic Web Application that provides Image Recognition as a Service by returning labels to user images. The Front-End of the application accepts images from a user and returns responses that describe the image. The Back End of the application is used to run the deep learning model that outputs the prediction for every input image. The application is built by using AWS IaaS tools such as EC2, S3 and SQS; which provide the necessary infrastructure to build and scale the application. The auto-scaling aspect of the application is to be implemented by only using the mentioned IaaS tools.

aws aws-s3 cloud-computing aws-sqs aws-ec2
  • Updated Mar 12, 2021
  • Java

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