Transport protocols for data center networks: a survey of issues, solutions and challenges

Sreekumari, Prasanthi; Jung, Jae-il

doi:10.1007/s11107-015-0550-y

Cited by 17 publications

(10 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the important issues in DC networks is to improve fairness among flows [6]. Several studies report fairness issues in DC networks such as TCP Outcast problem [7].…”

Section: Related Workmentioning

confidence: 99%

A Bandwidth Allocation Scheme to Improve Fairness and Link Utilization in Data Center Networks

Yusuke

Koga

Iida

2018

IEICE Trans. Commun.

View full text Add to dashboard Cite

Yusuke ITO †a) , Student Member, Hiroyuki KOGA †b) , Member, and Katsuyoshi IIDA † †c) , Senior Member SUMMARY Cloud computing, which enables users to enjoy various Internet services provided by data centers (DCs) at anytime and anywhere, has attracted much attention. In cloud computing, however, service quality degrades with user distance from the DC, which is unfair. In this study, we propose a bandwidth allocation scheme based on collectable information to improve fairness and link utilization in DC networks. We have confirmed the effectiveness of this approach through simulation evaluations.

show abstract

“…One of the important issues in DC networks is to improve fairness among flows [6]. Several studies report fairness issues in DC networks such as TCP Outcast problem [7].…”

Section: Related Workmentioning

confidence: 99%

A Bandwidth Allocation Scheme to Improve Fairness and Link Utilization in Data Center Networks

Yusuke

Koga

Iida

2018

IEICE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…In [39], authors discuss various congestion notifications for datacenter networks. Finally, in [40], authors survey transport protocols proposed for datacenter networks and briefly explain each one of the variety of research efforts made in addressing the incast problem, outcast problem and in reducing latency for datacenter networks.…”

Section: Related Workmentioning

confidence: 99%

Datacenter Traffic Control: Understanding Techniques and Trade-offs

Noormohammadpour¹,

Raghavendra²

2017

Preprint

View full text Add to dashboard Cite

Datacenters provide cost-effective and flexible access to scalable compute and storage resources necessary for today's cloud computing needs. A typical datacenter is made up of thousands of servers connected with a large network and usually managed by one operator. To provide quality access to the variety of applications and services hosted on datacenters and maximize performance, it deems necessary to use datacenter networks effectively and efficiently. Datacenter traffic is often a mix of several classes with different priorities and requirements. This includes user-generated interactive traffic, traffic with deadlines, and long-running traffic. To this end, custom transport protocols and traffic management techniques have been developed to improve datacenter network performance.In this tutorial paper, we review the general architecture of datacenter networks, various topologies proposed for them, their traffic properties, general traffic control challenges in datacenters and general traffic control objectives. The purpose of this paper is to bring out the important characteristics of traffic control in datacenters and not to survey all existing solutions (as it is virtually impossible due to massive body of existing research). We hope to provide readers with a wide range of options and factors while considering a variety of traffic control mechanisms. We discuss various characteristics of datacenter traffic control including management schemes, transmission control, traffic shaping, prioritization, load balancing, multipathing, and traffic scheduling. Next, we point to several open challenges as well as new and interesting networking paradigms. At the end of this paper, we briefly review inter-datacenter networks that connect geographically dispersed datacenters which have been receiving increasing attention recently and pose interesting and novel research problems.

show abstract

“…Congestion control algorithms. Many congestion control algorithms and extensions have been suggested for datacenters, including ECN, DCTCP, D2TCP, MPTCP, TCP-Bolt, TIMELY, DX, Halfback and DCQCN [1][2][3][4][5][6][7][8][9][10][11][12]. A goal of this paper is to enable the hypervisor to implement such novel algorithms in the underlay physical network given legacy al-gorithms in the guest VMs on the network.…”

Section: Related Workmentioning

confidence: 99%

“…Because the large datacenter companies control both ends of the internal connections, they are now deploying new congestion control algorithms, either published (e.g., TCP with ECN, DCTCP, TIMELY, etc.) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] or proprietary, to reduce latency and flow completion times for their traffic. This trend seems likely to continue, as datacenter companies seek ways to maximize utilization of their network, by customizing the network's behavior to best serve their large distributed applications.…”

Section: Introductionmentioning

confidence: 99%

Virtualized Congestion Control

Cronkite-Ratcliff

Bergman

Vargaftik

et al. 2016

Proceedings of the 2016 ACM SIGCOMM Conference

View full text Add to dashboard Cite

New congestion control algorithms are rapidly improving datacenters by reducing latency, overcoming incast, increasing throughput and improving fairness. Ideally, the operating system in every server and virtual machine is updated to support new congestion control algorithms. However, legacy applications often cannot be upgraded to a new operating system version, which means the advances are offlimits to them. Worse, as we show, legacy applications can be squeezed out, which in the worst case prevents the entire network from adopting new algorithms. Our goal is to make it easy to deploy new and improved congestion control algorithms into multitenant datacenters, without having to worry about TCP-friendliness with nonparticipating virtual machines. This paper presents a solution we call virtualized congestion control. The datacenter owner may introduce a new congestion control algorithm in the hypervisors. Internally, the hypervisors translate between the new congestion control algorithm and the old legacy congestion control, allowing legacy applications to enjoy the benefits of the new algorithm. We have implemented proof-of-concept systems for virtualized congestion control in the Linux kernel and in VMware's ESXi hypervisor, achieving improved fairness, performance, and control over guest bandwidth allocations.

show abstract

Transport protocols for data center networks: a survey of issues, solutions and challenges

Cited by 17 publications

References 38 publications

A Bandwidth Allocation Scheme to Improve Fairness and Link Utilization in Data Center Networks

A Bandwidth Allocation Scheme to Improve Fairness and Link Utilization in Data Center Networks

Datacenter Traffic Control: Understanding Techniques and Trade-offs

Virtualized Congestion Control

Contact Info

Product

Resources

About