CSE546-IaaS-Project-1

An elastic application that can automatically scale out and in on-demand and cost-effectively by using the AWS cloud using SQS, EC2 and S3.

Project Members

• Mahathi Amencherla
• Siddhant Sorann
• Vidushi Raturi

TODO - Add pem key and AWS creds and specify location here

AWS Resources

• S3 Buckets
  • Input - input-bucket-images-cc
  • Output - output-bucket-images-cc
• SQS Queues
  • RequestQueue - https://sqs.us-east-1.amazonaws.com/246156685396/RequestQueue
  • ResponseQueue - https://sqs.us-east-1.amazonaws.com/246156685396/ResponseQueue
• Web Tier
  • URL - TODO
  • EIP - TODO

Run locally

1. Create a key.env file to store the AWS access keys

AWS_KEY=EXAMPLE
AWS_SECRET=EXAMPLE

2. Navigate to web-tier-server folder

$ cd web-tier-server

3. Run this command to download all dependencies

$ npm install

4. Run the code

$ node web-tier-server.js

5. Start a new terminal and navigate to app-tier folder

$ cd app-tier
$ python3 queue-listener.py

6. Start a new terminal and navigate to workload-generator folder, run the code

$ cd CSE546_Sum22_workload_generator/
$ python3 workload_generator.py \
 --num_request 1 \                                    // number of images to be sent
 --url 'http://localhost:3001/api/image' \            // change ip to instance
 --image_folder "imagenet-100/"