When Network Matters: Data Center Scheduling with Network Tasks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2019

When Network Matters: Data Center Scheduling with Network Tasks

Abstract

We consider the placement of jobs inside a data center. Traditionally, this is done by a task orchestrator without taking into account network constraints. According to recent studies, network transfers represent up to 50% of the completion time of classical jobs. Thus, network resources must be considered when placing jobs in a data center. In this paper, we propose a new scheduling framework, introducing network tasks that need to be executed on network machines alongside traditional (CPU) tasks. The model takes into account the competition between communications for the network resources, which is not considered in the formerly proposed scheduling models with communication. Network transfers inside a data center can be easily modeled in our framework. As we show, classical algorithms do not efficiently handle a limited amount of network bandwidth. We thus propose new provably efficient algorithms with the goal of minimizing the makespan in this framework. We show their efficiency and the importance of taking into consideration network capacity through extensive simulations on workflows built from Google data center traces.
Fichier principal
Vignette du fichier
infocom2019_camera_ready.pdf (437.64 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01989755 , version 1 (22-01-2019)

Identifiers

  • HAL Id : hal-01989755 , version 1

Cite

Frédéric Giroire, Nicolas Huin, Andrea Tomassilli, Stéphane Pérennes. When Network Matters: Data Center Scheduling with Network Tasks. INFOCOM 2019 - IEEE International Conference on Computer Communications, Apr 2019, Paris, France. ⟨hal-01989755⟩
254 View
855 Download

Share

Gmail Facebook X LinkedIn More