End-System Aware Large File Transfer Solution for Rich Media Applications over 5G Mobile Networks

Document Type

Conference Proceeding

Publication Date

1-1-2020

Abstract

In general, rich media applications demand high bandwidth to transfer large files over wide-area connections. The arrival of 5G will overcome the limitations of existing networks in support of these network-intensive applications because they provide high bandwidth reaching up to multiple Gbps for large file transfer. One of the main challenges to maximize and stabilize goodput is explicitly managing the randomness inherent in high-speed mobile networks. The AIMD-based TCP cannot make full utilization of bandwidth over links with high Bandwidth Delay Product. The inefficiency of transport control protocol can not satisfy the media applications transport requirements even over a high bandwidth end-to-end connection. We conducted an extensive analytical study of the design and implementation issues of high-speed data transfer methods, especially the impact of application-level receive buffer and the background workloads on the data transfer performance. We developed an optimized large file transfer solution based on this analysis to achieve the maximal bottleneck goodput. We showed that the proposed transport protocol achieves better performance compared to state-of-the-art transport methods.

Identifier

85092663623 (Scopus)

ISBN

[9783030602444]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-030-60245-1_14

e-ISSN

16113349

ISSN

03029743

First Page

205

Last Page

218

Volume

12452 LNCS

Grant

61402328

Fund Ref

National Natural Science Foundation of China

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