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Weighted HRW and its applications
draft-mohanty-bess-weighted-hrw-01

The information below is for an old version of the document.
Document Type
This is an older version of an Internet-Draft whose latest revision state is "Replaced".
Expired & archived
Authors Satya Mohanty , Mankamana Prasad Mishra , Acee Lindem , Ali Sajassi , John Drake
Last updated 2020-03-14 (Latest revision 2019-09-11)
Replaced by draft-ietf-bess-weighted-hrw
RFC stream (None)
Formats
Stream Stream state (No stream defined)
Consensus boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Expired
Telechat date (None)
Responsible AD (None)
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:

Abstract

Rendezvous Hashing also known as Highest Random Weight (HRW) has been used in many load balancing applications where the central problem is how to map an object to as server such that the mapping is uniform and also minimally affected by the change in the server set. Recently, it has found use in DF election algorithms in the EVPN context and load balancing using DMZ. This draft deals with the problem of achieving load balancing with minimal disruption when the servers have different weights. It provides an algorithm to do so and also describes a few use-case scenarios where this algorithmic technique can apply.

Authors

Satya Mohanty
Mankamana Prasad Mishra
Acee Lindem
Ali Sajassi
John Drake

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)