GitHub - kamaldeepverma/distributed-systems-platform-as-a-service-implementation: This project is a Distributed Systems based Platform-as-a-Service(PaaS) implementation for enabling user-defined pipelined execution. Micro-services are deployed at run time using docker containers based on user requests.

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This project is a Distributed Systems based Platform-as-a-Service(PaaS) implementation for enabling user-defined pipelined execution. Micro-services are deployed at run time using docker containers based on user requests.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
api_gateway_server		api_gateway_server
client1		client1
client2		client2
code_rabbitMQ_docker_communication		code_rabbitMQ_docker_communication
data_loading_server		data_loading_server
microservice1		microservice1
microservice2		microservice2
microservice3		microservice3
resource_monitoring_client		resource_monitoring_client
resource_monitoring_server		resource_monitoring_server
191_CC_TERM_PROJECT.pdf		191_CC_TERM_PROJECT.pdf
Cloud Project Design Doucment(Kamaldeep Verma G6).pdf		Cloud Project Design Doucment(Kamaldeep Verma G6).pdf
ImplementationDocument.pdf		ImplementationDocument.pdf
README.txt		README.txt
images.sh		images.sh

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Steps to run 
Run the following commands in sequence

Following steps To be done at master physical node 
1. Create the Docker Images for each Microservice 

$ sh images.sh

2. Start the pricing scheduler and resource monitor server 

$ cd resource_monitoring_server
$ python3 pricing_schedular.py
$ python3 monitor_server.py

Note: Server running at http://<IP of Master Node>:9999/retrieve/<user_id>

3. Start the API Gateway Server

$ cd api_gateway_server
$ python3 api_gateway.py

Note: Server running at http://<IP of Master Node>:5000/


Following steps To be done at Slave Physical Node

1. Start resource monitor client

$ cd resource_monitoring_client
$ python3 monitor_client.py


Following steps To be done at Client Machine

$ cd client1

Note: Setup Configurations in the config.ini file and run the following commands.Tokenwill be updated on its own when we run config_setup.py.

$ python3 config_setup.py
$ python3 streaming.py