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Load balancing web service by rejecting connections

專利號
US11159406B2
公開日期
2021-10-26
申請人
Facebook, Inc.(US CA Menlo Park)
發(fā)明人
Robert M. English; Jeffrey Rothschild
IPC分類
H04L12/26; G06F9/50; H04L12/911
技術(shù)領(lǐng)域
server,balancer,queue,130a,tcp,requests,rejection,load,in,request
地域: CA CA Menlo Park

摘要

A load balancer allocates requests to a pool of web servers configured to have low queue capacities. If the queue capacity of a web server is reached, the web server responds to an additional request with a rejection notification to the load balancer, which enables the load balancer to quickly send the rejected request to another web server. Each web server self-monitors its rejection rate. If the rejection rate exceeds a threshold, the number of processes concurrently running on the web server is increased. If the rejection rate falls below a threshold, the number of processes concurrently running on the web server is decreased.

說明書

In step 611, if the rejection rate is below the lower threshold, the process manager 135A ends one of the processes that is currently processing TCP requests on the server 130A. By deleting a process, all of the remaining processes on the server 130A run at a slightly increased speed. Thus, although the server 130A will not be able to process as many TCP requests in parallel, each one will be processed faster. However, with a lower number of processes, the server's rejection rate is expected to increase, particularly if the rate of receipt of TCP requests remains the same.

If, as a result of steps 608 and 610, it is determined that the rejection rate falls within the upper and lower thresholds, the number of concurrently executing processes is maintained for the moment. With subsequent passes through the method 600, the rejection rate may creep up or down, which will result in an appropriate adjustment to the number of processes. Accordingly, by self-monitoring the server's 130A rejection rate, the server 130A can beneficially manage the number of processes concurrently executing to improve response time performance.

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