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Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks
Gao, Chengxi1; Chu, Shuhui2; Xu, Hong3; Xu, Minxian4; Ye, Kejiang5; Xu, Cheng Zhong6
2023
Source PublicationIEEE Transactions on Cloud Computing
ISSN2168-7161
Volume11Issue:1Pages:1038 - 1049
Abstract

Flow scheduling and congestion control are two important techniques to reduce flow completion time in data center networks. While existing works largely treat them independently, the interactions between flow scheduling and congestion control are in general overlooked which leads to sub-optimal solutions, especially given that the link capacity is increasing faster than the switch port buffer size. In this paper, we present Flash, a simple yet effective scheme that integrates scheduling and congestion control. Specifically, Flash puts forward a congestion-aware scheduling scheme to determine the priority of flows based on the latest network congestion extent and the flows bytes sent. Besides, Flash proposes a priority-based packet dropping scheme in switch port buffers and implements a priority-aware congestion control scheme. Experiment results show that Flash has superior performance: (1) it has 35.8% lower tail latency than PIAS and performs similar with pFabric in a 10G network without knowing the flow size, (2) in 100G networks with shallow buffers, the information agnostic Flash has 6.8% lower average FCT than the information-aware pFabric, (3) it outperforms pFabric by 13.5% in FCT if flow size is also known to Flash.

KeywordCloud Computing Congestion Control Data Center Networking Flow Scheduling
DOI10.1109/TCC.2021.3129511
URLView the original
Indexed BySCIE
Language英語English
Funding ProjectEfficient Integration and Dynamic Cognitive Technology and Platform for Urban Public Services
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information systemsComputer Science, Software engineeringComputer Science, Theory & Methods
WOS IDWOS:000965304700001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85120032634
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Document TypeJournal article
CollectionFaculty of Science and Technology
Affiliation1.Institute of Advanced Computing and Digital Engineering, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 85411 Shenzhen, Guangdong, China, (e-mail: [email protected])
2.Department of Computer and Information Science, University of Macau, 59193 Macau, Macau, China, (e-mail: [email protected])
3.Department of Computer Science and Engineering, The Chinese University of Hong Kong, 26451 Hong Kong, Hong Kong, China, (e-mail: [email protected])
4.Institute of Advanced Computing and Digital Engineering, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 85411 Shenzhen, Guangdong, China, (e-mail: [email protected])
5.Center for Cloud Computing Research, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China, 518055 (e-mail: [email protected])
6.Faculty of Science and Technology, University of Macau, 59193 Taipa, Macau, China, (e-mail: [email protected])
Recommended Citation
GB/T 7714
Gao, Chengxi,Chu, Shuhui,Xu, Hong,et al. Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks[J]. IEEE Transactions on Cloud Computing, 2023, 11(1), 1038 - 1049.
APA Gao, Chengxi., Chu, Shuhui., Xu, Hong., Xu, Minxian., Ye, Kejiang., & Xu, Cheng Zhong (2023). Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks. IEEE Transactions on Cloud Computing, 11(1), 1038 - 1049.
MLA Gao, Chengxi,et al."Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks".IEEE Transactions on Cloud Computing 11.1(2023):1038 - 1049.
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