Classification of Load Balancing in the Internet

Autor: Rafael Galvão de Almeida, Christophe Diot, Renata Teixeira, Darryl Veitch, Italo Cunha
Přispěvatelé: Universidade Federal de Minas Gerais [Belo Horizonte] (UFMG), Laboratory of Information, Network and Communication Sciences (LINCS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Mines-Télécom [Paris] (IMT)-Sorbonne Université (SU), Middleware on the Move (MIMOVE), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Technology Sydney (UTS), Google Inc.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE INFOCOM 2020-International Conference on Computer Communications
IEEE INFOCOM 2020-International Conference on Computer Communications, Apr 2020, Beijing / Virtual, China
INFOCOM
Popis: International audience; Recent advances in programmable data planes, software-defined networking, and the adoption of IPv6, support novel, more complex load balancing strategies. We introduce the Multipath Classification Algorithm (MCA), a probing algorithm that extends traceroute to identify and classify load balancing in Internet routes. MCA extends existing formalism and techniques to consider that load balancers may use arbitrary combinations of bits in the packet header for load balancing. We propose optimizations to reduce probing cost that are applicable to MCA and existing load balancing measurement techniques. Through large-scale measurement campaigns, we characterize and study the evolution of load balancing on the IPv4 and IPv6 Internet with multiple transport protocols. Our results show that load balancing is more prevalent and that load balancing strategies are more mature than previous characterizations have found.
Databáze: OpenAIRE