公开(公告)号：US20170223100A1

公开(公告)日：2017-08-03

申请号：US15493532

申请日：2017-04-21

Applicant: Facebook, Inc.

Inventor： Qiang WU ,  Sanjeev Kumar ,  Sachin Kadloor

IPC: H04L29/08 ,  H04L12/26

CPC classification number: H04L67/1031 ,  G06F9/5083 ,  H04L41/0896 ,  H04L43/08 ,  H04L43/0817 ,  H04L47/726

Abstract: A self-adaptive control system based on proportional-integral (PI) control theory for dynamic capacity management of latency-sensitive application servers (e.g., application servers associated with a social networking application) are disclosed. A centralized controller of the system can adapt to changes in request rates, changes in application and/or system behaviors, underlying hardware upgrades, etc., by scaling the capacity of a cluster up or down so that just the right amount of capacity is maintained at any time. The centralized controller uses information relating to a current state of the cluster and historical information relating to past state of the cluster to predict a future state of the cluster and use that prediction to determine whether to scale up or scale down the current capacity to reduce latency and maximize energy savings. A load balancing system can then distribute traffic among the servers in the cluster using any load balancing methods.