RT info:eu-repo/semantics/article
T1 Extending the VEF traces framework to model data center network workloads
A1 Andújar Muñoz, Francisco José
A1 Sánchez de la Rosa, Miguel
A1 Escudero Sahuquillo, Jesús
A1 Sánchez, José L.
K1 Data center networks
K1 Modeling and simulation
K1 Data center workloads
K1 Performance evaluation
K1 33 Ciencias Tecnológicas
AB Data centers are a fundamental infrastructure in the Big-Data era, where applications and services demand a high amount of data and minimum response times. The interconnection network is an essential subsystem in the data center, as it must guarantee high communication bandwidth and low latency to the communication operations of applications, otherwise becoming the system bottleneck. Simulation is widely used to model the network functionality and to evaluate its performance under specific workloads. Apart from the network modeling, it is essential to characterize the end-nodes communication pattern, which will help identify bottlenecks and flaws in the network architecture. In previous works, we proposed the VEF traces framework: a set of tools to capture communication traffic of MPI-based applications and generate traffic traces used to feed network simulator tools. In this paper, we extend the VEF traces framework with new communication workloads such as deep-learning training applications and online data-intensive workloads.
PB Springer
SN 0920-8542
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/55569
UL https://uvadoc.uva.es/handle/10324/55569
LA eng
NO The Journal of Supercomputing, 2022.
NO Producción Científica
DS UVaDOC
RD 11-jul-2024