Proceedings Article10.1109/ICC.2014.6883486
Applications with multiple parallel flows: Assessing their unfair advantage with proportional fair sharing TCP
Deep Medhi
- 10 Jun 2014
- pp 1210-1215
3
TL;DR: Proportional fairness is shown to be applicable to TCP variants such as TCP Reno, TCP Vegas, and FAST TCP and the competing scenario where an SFA with proportionally fair sharing TCP is competing with an MFA that invokes a number of parallel flows is considered.
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Abstract: We seek to understand proportional fairness in equi- librium in the presence of both applications with multiple flows (MFAs) and traditional applications with single flows (SFAs). Proportional fairness is shown to be applicable to TCP variants such as TCP Reno, TCP Vegas, and FAST TCP. We consider the competing scenario where an SFA with proportionally fair sharing TCP is competing with an MFA that invokes a number of parallel flows, also with proportional fair sharing TCP. We present analytical results for a linear network, and show the extent of the quantitative gain of an MFA can over an SFA regardless of whether it is connecting the far end of a linear network or just the adjacent nodes. I. INTRODUCTION
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Citations
On traffic fairness in data center fabrics
Dallal Belabed,Stefano Secci,Guy Pujolle,Deep Medhi +3 more
- 01 Dec 2014
TL;DR: This paper conducted a series of test scenarios on the fat-tree data center topology by considering load balancing and link capacities for different network cases and observed that the traffic allocation fairness is primarily impacted by the weights associated with the TCP implementation in use.
Data Center Optimization Techniques
Dallal Belabed
- 16 Apr 2021
TL;DR: In this paper, a brief overview of data center optimization techniques is provided, including virtual network embedding, traffic engineering, and transmission control protocol (TCP) fairness models, followed by an overview on Traffic Engineering (TE) techniques from linkstate TE to introducing the TCP fairness models.
1
•Dissertation
Design and Evaluation of Cloud Network Optimization Algorithms
Dallal Belabed
- 24 Apr 2015
TL;DR: This dissertation tries to give a deep understanding of the impact of the new Cloud paradigms regarding to the Traffic Engineering goal, the Energy Efficiency goal, to the fairness in the endpoints offered throughput, and of thenew opportunities given by virtualized network functions.
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