Editing Rate limiting (section)

== Data centers ==
Data centers widely use rate limiting to control the share of resources given to different tenants and applications according to their service level agreement.<ref name=architecture>{{cite journal |first1=M. |last1=Noormohammadpour |first2=C. S. |last2=Raghavendra |url=https://www.researchgate.net/publication/321744877_Datacenter_Traffic_Control_Understanding_Techniques_and_Trade-offs |title=Datacenter Traffic Control: Understanding Techniques and Trade-offs |journal =IEEE Communications Surveys & Tutorials |pages=1 |via=ResearchGate |doi=10.1109/COMST.2017.2782753 |date=May 2018 |volume=20 |issue=2 |url-status=live |archive-url=https://web.archive.org/web/20240116085557/https://www.researchgate.net/publication/321744877_Datacenter_Traffic_Control_Understanding_Techniques_and_Trade-offs |archive-date= Jan 16, 2024 |arxiv=1712.03530 }}</ref> A variety of rate limiting techniques are applied in data centers using software and hardware. Virtualized data centers may also apply rate limiting at the hypervisor layer. Two important performance metrics of rate limiters in data centers are resource footprint (memory and CPU usage) which determines scalability, and precision. There usually exists a trade-off, that is, higher precision can be achieved by dedicating more resources to the rate limiters. A considerable body of research  with focus on improving performance of rate limiting in data centers.<ref name=architecture/>