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Multipath Congestion Control for the L4S Architecture
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7529-9324
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-4147-9487
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-9194-010X
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Queuing latency is one of the limiting factors to achieve the latency targets of emerging latency-sensitive Internet applications (e.g., interactive web, real-time online gaming). It occurs when large capacity-seeking traffic bloats router buffers configured to allow full link utilization of standard TCP congestion controllers (e.g., TCP Reno, Cubic). The Low Latency, Low Loss and Scalable Throughput (L4S) architecture proposes to overcome the problem by combining scalable congestion controllers (e.g., DCTCP, TCP Prague) and early congestion signaling from the network. L4S defines Dual Queue Coupled (DQC) AQM as transition mechanism enabling scalable senders to coexist with standard congestion control. This paper extends the L4S Internet service to the multipath domain by using MDTCP—a scalable multipath congestion control for Multipath TCP (MPTCP). We evaluate the performance of MDTCP in a controlled network environment mimicking the L4S Internet service architecture. Our results indicate that MDTCP and TCP Prague achieve similar flow completion time for short flows, and outperform both the non-scalable, single-path, and multipath congestion controls. MDTCP also improves multipath capacity utilization compared to the existing MPTCP congestion controllers and outperforms both TCP Prague and TCP Cubic. Although MDTCP achieves a lower FCT for medium flows than TCP Prague, it does not show improved performance than the classic CCs due to its exit from the slow-start phase. With regard to bottleneck capacity sharing, MDTCP never caused starvation when sharing a bottleneck with a single-path TCP Prague, and is not severely affected by the competing TCP Prague flows.

National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-80324OAI: oai:DiVA.org:kau-80324DiVA, id: diva2:1469817
Projects
HITSAvailable from: 2020-09-22 Created: 2020-09-22 Last updated: 2020-12-17Bibliographically approved
In thesis
1. Low Latency Communication in Virtualized and Multipath Networks
Open this publication in new window or tab >>Low Latency Communication in Virtualized and Multipath Networks
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The demand from customers for high-quality and customized network services has increased. Telecom service providers have adopted a Network Functions Virtualization (NFV) based service delivery model, in response to the unprecedented traffic growth and increasing customer demand. However, in virtualized systems, achieving carrier-grade network performance such as low latency to guarantee the quality of experience (QoE) of customers is challenging. Moreover, queuing delays that may occur both in the datacenter networks and the IP network infrastructure inhibit the deployment of emerging low-latency services.

In this thesis, we focus on addressing the problem of network latency. We study the delay overhead of virtualization by comprehensive network performance measurements and analysis, in a controlled virtualized environment. The study of virtualization delay provides a break-down of the latency imposed by the virtualization and the impact of the consolidation of virtualized applications of different workloads on the end-to-end latency. On the basis of our study, we developed an optimization model for the placement and provisioning of virtualized telecom applications subject to both the latency and cost-efficiency requirements.

To mitigate network latency that results from queuing delays as well as to improve multipath network capacity utilization of a datacenter network, we propose a multipath congestion control, Multipath Datacenter TCP (MDTCP), that leverages Explicit Congestion Notification (ECN) to detect and react to queuing delays caused by incipient congestion. Furthermore, we extend MDTCP with the Low Latency Low Loss and Scalable Throughput (L4S) Internet service architecture support so that it can also be used in the Internet. This ensures the low-latency demand of delay-sensitive applications and improves QoE of Internet users by exploiting the multi-access or multi-connectivity technologies of user devices.

Abstract [en]

The demand for high-quality network services has increased. Telecom service providers have adopted the NFV-based service delivery model, in response to the unprecedented traffic growth and increasing customer demand. In virtualized systems, achieving carrier-grade network performance such as low latency to guarantee the QoE of customers is challenging. Moreover, queuing delays that may occur both in the datacenter and IP networks inhibit the deployment of low-latency services.

This thesis addresses the problem of network latency. We study the delay overhead of virtualization by comprehensive network performance measurements and obtain the break-down of the latency imposed by the virtualization and the impact of the consolidation of virtualized applications of different workloads on the end-to-end latency. Then, we developed an optimization model for the placement and provisioning of virtualized telecom applications subject to both the latency and cost-efficiency requirements.

To mitigate queuing delays and improve multipath network capacity utilization of a datacenter network, we propose MDTCP that leverages ECN to detect and react to queuing delays caused by incipient congestion. We extend MDTCP with the L4S architecture support so that it can also be used in the Internet. This ensures the demand of delay-sensitive applications and improves QoE of Internet users by exploiting the multi-access or multi-connectivity technologies of user devices.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2020. p. 44
Series
Karlstad University Studies, ISSN 1403-8099 ; 2020:31
Keywords
Latency, Virtualization, Cloud computing, NFV, DCTCP, MPTCP, L4S, Network measurement, Performance evaluation, Queuing
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-80321 (URN)978-91-7867-152-6 (ISBN)978-91-7867-156-4 (ISBN)
Public defence
2020-11-04, 21A 342, Eva Eriksson, Karlstad, 09:00 (English)
Opponent
Supervisors
Projects
HITS
Funder
Knowledge Foundation, 4707
Available from: 2020-10-15 Created: 2020-09-22 Last updated: 2020-10-15Bibliographically approved

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Oljira, Dejene BoruGrinnemo, Karl-JohanBrunström, AnnaTaheri, Javid

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