Network-Aware Container Scheduling in Multi-Tenant Data Center

Abstract

Network management on multi-tenant containerbased data center has critical impact on performance. Tenants encapsulate applications in containers abstracting away details on hosting infrastructures, and entrust data center management framework with the provisioning of network Quality-of-Service requirements. In this paper, we propose a network-aware multicriteria container scheduler to jointly process containers and network requirements. We introduce a new Mixed Integer Linear Programming formulation for network-aware scheduling encompassing both tenants and providers metrics. We describe two GPU-accelerated modules to address the complexity barrier of the problem and efficiently process scheduling requests. Our experiments show that our scheduling approach accounting for both network and containers outperforms traditional algorithms used by containers orchestrators.

Performance Impact of Queue Sorting in Container-Based Application Scheduling

“…Despite this attention, practical implementations of these methods are lacking since most network-aware algorithms are evaluated only through simulations. Existing works focus mainly on Virtual Machine (VM) placement, and only a few studies address container allocation [26], [27]. Topological-aware scheduling has also been addressed lately [28]- [31].…”