Congestion Management in High-Performance Interconnection Networks Using Adaptive Routing Notifications

The interconnection network is a crucial subsystem in High-Performance Computing clusters and Data-centers, guaranteeing high bandwidth and low latency to the applications communication operations. Unfortunately, congestion situations may spoil network performance unless the network design applies s...

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Detalles Bibliográficos
Autores: Rocher González, José Manuel, Escudero Sahuquillo, Jesús, García García, Pedro Javier, Quiles Flor, Francisco José
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/41284
Acceso en línea:https://hdl.handle.net/10578/41284
Access Level:acceso abierto
Palabra clave:Adaptive Routing Notifications
Congestion Management
Fat Trees
High-Performance Interconnection Networks
Descripción
Sumario:The interconnection network is a crucial subsystem in High-Performance Computing clusters and Data-centers, guaranteeing high bandwidth and low latency to the applications communication operations. Unfortunately, congestion situations may spoil network performance unless the network design applies specific countermeasures. Adaptive routing algorithms are a traditional approach to dealing with congestion since they provide traffic flows with alternative routes that bypass congested areas. However, adaptive routing decisions at switches are typically based on local information without a global network traffic perspective, leading to congestion spreading throughout the network beyond the original congested areas. In this paper, we propose a new efficient congestion management strategy that leverages adaptive routing notifications currently available in some interconnect technologies and efficiently isolates the congesting flows in reserved spaces at switch buffers. The experiment results based on simulations of realistic traffic scenarios show that our proposal removes the congestion impact.