Dynamic performance-Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds.

ABSTRACT: Containers have emerged as a more portable and efficient solution than virtual machines for cloud infrastructure providing both a flexible way to build and deploy applications. The quality of service, security, performance, energy consumption, among others, are essential aspects of their deployment, management, and orchestration. Inappropriate resource allocation can lead to resource contention, entailing reduced performance, poor energy efficiency, and other potentially damaging effects. In this paper, we present a set of online job allocation strategies to optimize quality of service, energy savings, and completion time, considering contention for shared on-chip resources. We consider the job allocation as the multilevel dynamic bin-packing problem that provides a lightweight runtime sol

SUBMITTER: Canosa-Reyes RM 

PROVIDER: S-EPMC8775309 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature