Unified Cross-Layer Cluster-Node Scheduling for Heterogeneous Datacenters
Document Type
Conference Proceeding
Publication Date
2022
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Source Publication
2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC)
Source ISSN
978-1-6654-6550-2
Original Item ID
DOI: 10.1109/IGSC55832.2022.9969366
Abstract
In this paper, we present a two-level hierarchical scheduler for datacenters called Qin. The goal of the proposed scheduler is to exploit increased server heterogeneity. It combines in a unified approach cluster and node level scheduling algorithms, and it can consider specific optimization objectives including job completion time, energy usage, and energy delay product (EDP). Its novelty lies in the unified approach and in modeling interference and heterogeneity. Experiments on a real cluster demonstrate the proposed approach outperforms state-of-the-art schedulers by 10.2 % in completion time, 38.65 % in energy usage, and 41.98% in EDP.
Recommended Citation
Guan, Wenkai and Ababei, Cristinel, "Unified Cross-Layer Cluster-Node Scheduling for Heterogeneous Datacenters" (2022). Electrical and Computer Engineering Faculty Research and Publications. 813.
https://epublications.marquette.edu/electric_fac/813
Comments
Published as part of the proceedings of the 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC). DOI.