Overload requests on a webserver are one of the important issues in web server management. The main cause of overload requests on the webserver is the high demand by the user / client for the webserver that exceeds the maximum load limit borne by the webserver. One of the ways used to handle overload requests on the webserver is by sharing the requests evenly among the available web servers. The webserver management system still uses a single server by the webserver management developer which results in the possibility of overloading requests on the webserver. The method proposed in this study is a haproxy load balancer on a single board computer cluster using a docker swarm. Before the performance testing analysis stage is carried out, the researcher will build a single board computer cluster, using 1 raspberry pi master server which will become the load balancer and 3 raspberry pi worker servers to become a webserver which will respond to users alternately according to the algorithm that will be used on the hap Roxy load balancer. After testing in this study, it was concluded that using the load balancing method with the least connection algorithm resulted in an accuracy rate of 95.47%, while testing using the load balancing method with the round robin algorithm was able to produce a greater level of accuracy, namely 97%. Use 1 raspberry pi master server which will be the load balancer and 3 raspberry pi worker servers to become the webserver which will respond to the user alternately according to the algorithm that will be used on the haproxy load balancer. After testing in this study, it was concluded that using the load balancing method with the least connection algorithm resulted in an accuracy rate of 95.47%, while testing using the load balancing method with the round robin algorithm was able to produce a greater level of accuracy, namely 97%. use 1 raspberry pi master server which will be the load balancer and 3 raspberry pi worker servers to become the webserver which will respond to the user alternately according to the algorithm that will be used on the haproxy load balancer. After testing in this study, it was concluded that using the load balancing method with the least connection algorithm resulted in an accuracy rate of 95.47%, while testing using the load balancing method with the round robin algorithm was able to produce a greater level of accuracy, namely 97%.
Key words: Load balancer, IOT, Docker swarms, Round robin algorithm.
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