Redundancy in network traffic

Author:

Anand Ashok1,Muthukrishnan Chitra1,Akella Aditya1,Ramjee Ramachandran2

Affiliation:

1. University of Wisconsin, Madison, WI, USA

2. Microsoft Research, Bangalore, India

Abstract

A large amount of popular content is transferred repeatedly across network links in the Internet. In recent years, protocol-independent redundancy elimination , which can remove duplicate strings from within arbitrary network flows, has emerged as a powerful technique to improve the efficiency of network links in the face of repeated data. Many vendors offer such redundancy elimination middleboxes to improve the effective bandwidth of enterprise, data center and ISP links alike. In this paper, we conduct a large scale trace-driven study of protocol independent redundancy elimination mechanisms, driven by several terabytes of packet payload traces collected at 12 distinct network locations, including the access link of a large US-based university and of 11 enterprise networks of different sizes. Based on extensive analysis, we present a number of findings on the benefits and fundamental design issues in redundancy elimination systems. Two of our key findings are (1) A new redundancy elimination algorithm based on Winnowing that outperforms the widely-used Rabin fingerprint-based algorithm by 5-10% on most traces and by as much as 35% in some traces. (2) A surprising finding that 75-90% of middlebox's bandwidth savings in our enterprise traces is due to redundant byte-strings from within each client's traffic, implying that pushing redundancy elimination capability to the end hosts, i.e. an end-to-end redundancy elimination solution , could obtain most of the middlebox's bandwidth savings.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference29 articles.

1. Citrix application delivery infrastructure. http://www.citrix.com/. Citrix application delivery infrastructure. http://www.citrix.com/.

2. Computerworld -- WAN optimization continues growth. www.computerworld.com.au/index.php/id;1174462047;fp;16;fpid;0/. Computerworld -- WAN optimization continues growth. www.computerworld.com.au/index.php/id;1174462047;fp;16;fpid;0/.

3. F5 Networks: WAN Delivery Products. http://www.f5.com/. F5 Networks: WAN Delivery Products. http://www.f5.com/.

4. Netequalizer Bandwidth Shaper. http://www.netequalizer.com/. Netequalizer Bandwidth Shaper. http://www.netequalizer.com/.

5. Packeteer WAN optimization solutions. http://www.packeteer.com/. Packeteer WAN optimization solutions. http://www.packeteer.com/.

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A smart hybrid content-defined chunking algorithm for data deduplication in cloud storage;Soft Computing;2023-10-14

2. Big Data Backup Deduplication : A Survey;International Journal of Scientific Research in Science, Engineering and Technology;2022-07-05

3. TSS: A two‐party secure server‐aid chunking algorithm;Concurrency and Computation: Practice and Experience;2021-09-21

4. Value Roadmap Development for Telecommunication Industry;Industry 4.0 Value Roadmap;2019

5. A Global Survey on Data Deduplication;International Journal of Grid and High Performance Computing;2018-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3