RPA Developer

Hub and Spoke framework aims to maximize utilization of robots by distributing workload across idle robots (Spoke bots) using a master robot (Hub bot).

On a high level, there are 4 logical components to this framework; 

1.  Hub / Master Robot 
2.  Master Queue 
3.  Master Config
4.  Spoke / Worker Robots 

The Hub robot runs in the background checking for requests in the Master Queue. The Master Queue is a centralized queue where transaction items for all the processes are created. Hub bot picks each transaction item from master queue and assigns to spoke robots based on its availability.

The Master Config is a spreadsheet which maintains configuration data such as process to robot mapping, orchestrator details, assets and other configuration parameters.

Each transaction item will contain all the inputs for the master bot such as the 'process name' and well as the inputs required by the intended process. The master bot ensures the optimum utilization of robots by keeping robots occupied as more requests arrives.

Framework to maximize robot utilization for UiPath

Hub and Spoke framework aims to maximize utilization of robots by distributing workload across idle robots (Spoke bots) using a master robot (Hub bot).

On a high level, there are 4 logical components to this framework;

1.  Hub / Master Robot
2.  Master Queue
3.  Master Config
4.  Spoke / Worker Robots

The Hub robot runs in the background checking for requests in the Master Queue. The Master Queue is a centralized queue where transaction items for all the processes are created. Hub bot picks each transaction item from master queue and assigns to spoke robots based on its availability.

The Master Config is a spreadsheet which maintains configuration data such as process to robot mapping, orchestrator details, assets and other configuration parameters.

Each transaction item will contain all the inputs for the master bot such as the 'process name' and well as the inputs required by the intended process. The master bot ensures the optimum utilization of robots by keeping robots occupied as more requests arrives.

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