August 2017

Conference Paper

TCP Throughput Profiles Using Measurements over Dedicated Connections

By:
Rao, Nageswara S; Liu, Qiang ; Sen, Satyabrata ; Towsley, Don; Vardoyan, Gayane; Kettimuthu, R.; Foster, Ian
Page Number:
193-204
Book Title:
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing
Publication Date:
August 29, 2017
Conference Name:
26th International Symposium on High-Performance Parallel and Distributed Computing
Conference Location:
Washington, District of Columbia, United States of America
Conference Sponsor:
ACM
View DOI Listing:
https://doi.org/10.1145/3078597.3078615

Abstract

Wide-area data transfers in high-performance computing infrastructures are increasingly being carried over dynamically provisioned dedicated network connections that provide high capacities with no competing traffic. We present extensive TCP throughput measurements and time traces over a suite of physical and emulated 10 Gbps connections with 0-366 ms round-trip times (RTTs). Contrary to the general expectation, they show significant statistical and temporal variations, in addition to the overall dependencies on the congestion control mechanism, buffer size, and the number of parallel streams. We analyze several throughput profiles that have highly desirable concave regions wherein the throughput decreases slowly with RTTs, in stark contrast to the convex profiles predicted by various TCP analytical models. We present a generic throughput model that abstracts the ramp-up and sustainment phases of TCP flows, which provides insights into qualitative trends observed in measurements across TCP variants: (i) slow-start followed by well-sustained throughput leads to concave regions; (ii) large buffers and multiple parallel streams expand the concave regions in addition to improving the throughput; and (iii) stable throughput dynamics, indicated by a smoother Poincare map and smaller Lyapunov exponents, lead to wider concave regions. These measurements and analytical results together enable us to select a TCP variant and its parameters for a given connection to achieve high throughput with statistical guarantees.


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