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RSS++: load and state-aware receive side scaling
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Kommunikationssystem, CoS, Network Systems Laboratory (NS Lab).ORCID-id: 0000-0003-1269-2190
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Kommunikationssystem, CoS, Network Systems Laboratory (NS Lab).ORCID-id: 0000-0002-3890-6583
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Kommunikationssystem, CoS, Radio Systems Laboratory (RS Lab).ORCID-id: 0000-0002-6066-746X
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Kommunikationssystem, CoS.ORCID-id: 0000-0002-1256-1070
2019 (engelsk)Inngår i: Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies / [ed] ACM, Orlando, FL, USA: Association for Computing Machinery (ACM), 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

While the current literature typically focuses on load-balancing among multiple servers, in this paper, we demonstrate the importance of load-balancing within a single machine (potentially with hundreds of CPU cores). In this context, we propose a new load-balancing technique (RSS++) that dynamically modifies the receive side scaling (RSS) indirection table to spread the load across the CPU cores in a more optimal way. RSS++ incurs up to 14x lower 95th percentile tail latency and orders of magnitude fewer packet drops compared to RSS under high CPU utilization. RSS++ allows higher CPU utilization and dynamic scaling of the number of allocated CPU cores to accommodate the input load, while avoiding the typical 25% over-provisioning. RSS++ has been implemented for both (i) DPDK and (ii) the Linux kernel. Additionally, we implement a new state migration technique, which facilitates sharding and reduces contention between CPU cores accessing per-flow data. RSS++ keeps the flow-state by groups that can be migrated at once, leading to a 20% higher efficiency than a state of the art shared flow table.

sted, utgiver, år, opplag, sider
Orlando, FL, USA: Association for Computing Machinery (ACM), 2019.
Emneord [en]
networking, load-balancing, packet scheduling, high-speed networking, intra-server load-balancing, receive side scaling, network function virtualization, RSS++
HSV kategori
Forskningsprogram
Informations- och kommunikationsteknik; Datalogi
Identifikatorer
URN: urn:nbn:se:kth:diva-263941DOI: 10.1145/3359989.3365412Scopus ID: 2-s2.0-85077231875ISBN: 978-1-4503-6998-5 (digital)OAI: oai:DiVA.org:kth-263941DiVA, id: diva2:1371780
Konferanse
CoNEXT '19: The 15th International Conference on Emerging Networking Experiments And Technologies, Orlando, United States, 9-12 December 2019
Forskningsfinansiär
Swedish Foundation for Strategic Research , TCCEU, European Research Council, 770889
Merknad

QC 20191126

Tilgjengelig fra: 2019-11-20 Laget: 2019-11-20 Sist oppdatert: 2020-03-09bibliografisk kontrollert

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