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TARDIS: stably shifting traffic in space and time

Authors:

Miguel RioAuthors Info & Claims

SIGMETRICS '14: The 2014 ACM international conference on Measurement and modeling of computer systems

Pages 593 - 594

https://doi.org/10.1145/2591971.2592037

Published: 16 June 2014 Publication History

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Abstract

This paper describes TARDIS (Traffic Assignment and Retiming Dynamics with Inherent Stability) which is an algorithmic procedure designed to reallocate traffic within Internet Service Provider (ISP) networks. Recent work has investigated the idea of shifting traffic in time (from peak to off-peak) or in space (by using different links). This work gives a unified scheme for both time and space shifting to reduce costs. Particular attention is given to the commonly used 95th percentile pricing scheme.

The work has three main innovations: firstly, introducing the Shapley Gradient, a way of comparing traffic pricing between different links at different times of day; secondly, a unified way of reallocating traffic in time and/or in space; thirdly, a continuous approximation to this system is proved to be stable. A trace-driven investigation using data from two service providers shows that the algorithm can create large savings in transit costs even when only small proportions of the traffic can be shifted.

References

[1]

R. Clegg, R. Landa, J. Araujo, E. Mykoniati, D. Griffin, and M. Rio. TARDIS: Stably shifting traffic in space and time (extended version). http://arxiv.org/abs/1404.2325, 2014.

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Cited By

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Li ZMeng JChen HTan H(2022)Percentile Optimization Based on Classical Parallel Machine Scheduling Model2022 8th International Conference on Big Data Computing and Communications (BigCom)10.1109/BigCom57025.2022.00020(96-102)Online publication date: Aug-2022
https://doi.org/10.1109/BigCom57025.2022.00020
Qadir JAli AYau KSathiaseelan ACrowcroft J(2015)Exploiting the Power of Multiplicity: A Holistic Survey of Network-Layer MultipathIEEE Communications Surveys & Tutorials10.1109/COMST.2015.245394117:4(2176-2213)Online publication date: Dec-2016
https://doi.org/10.1109/COMST.2015.2453941
Clegg RLanda RAraújo JMykoniati EGriffin DRio M(2014)TARDISACM SIGMETRICS Performance Evaluation Review10.1145/2637364.259203742:1(593-594)Online publication date: 16-Jun-2014
https://dl.acm.org/doi/10.1145/2637364.2592037
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Index Terms

TARDIS: stably shifting traffic in space and time
1. Networks
  1. Network services
    1. Network management

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Information & Contributors

Information

Published In

SIGMETRICS '14: The 2014 ACM international conference on Measurement and modeling of computer systems

June 2014

614 pages

ISBN:9781450327893

DOI:10.1145/2591971

General Chairs:
Sujay Sanghavi
The University of Texas at Austin
,
Sanjay Shakkottai
The University of Texas at Austin
,
Program Chairs:
Marc Lelarge
INRIA, France
,
Bianca Schroeder
University of Toronto

ACM SIGMETRICS Performance Evaluation Review Volume 42, Issue 1
Performance evaluation review
June 2014
569 pages
ISSN:0163-5999
DOI:10.1145/2637364
Editors:
Derek Eager
University of Saskatchewan
,
Carey Williamson
University of Calgary
Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2014

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SIGMETRICS '14: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems

June 16 - 20, 2014

Texas, Austin, USA

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SIGMETRICS '14 Paper Acceptance Rate 40 of 237 submissions, 17%;

Overall Acceptance Rate 459 of 2,691 submissions, 17%

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Cited By

View all

Li ZMeng JChen HTan H(2022)Percentile Optimization Based on Classical Parallel Machine Scheduling Model2022 8th International Conference on Big Data Computing and Communications (BigCom)10.1109/BigCom57025.2022.00020(96-102)Online publication date: Aug-2022
https://doi.org/10.1109/BigCom57025.2022.00020
Qadir JAli AYau KSathiaseelan ACrowcroft J(2015)Exploiting the Power of Multiplicity: A Holistic Survey of Network-Layer MultipathIEEE Communications Surveys & Tutorials10.1109/COMST.2015.245394117:4(2176-2213)Online publication date: Dec-2016
https://doi.org/10.1109/COMST.2015.2453941
Clegg RLanda RAraújo JMykoniati EGriffin DRio M(2014)TARDISACM SIGMETRICS Performance Evaluation Review10.1145/2637364.259203742:1(593-594)Online publication date: 16-Jun-2014
https://dl.acm.org/doi/10.1145/2637364.2592037
Zhan HTan HXu HZhang CNi HZhang PShan WLi X(2023)Online Midgress-Sensitive Traffic Allocation for Percentile Charging in Pracitcal CDNs2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)10.1109/IWQoS57198.2023.10188693(1-10)Online publication date: 19-Jun-2023
https://doi.org/10.1109/IWQoS57198.2023.10188693
Chen HZhan HTan HXu HShan WChen SLi X(2022)Online Traffic Allocation Based on Percentile Charging for Practical CDNs2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)10.1109/IWQoS54832.2022.9812878(1-10)Online publication date: 10-Jun-2022
https://doi.org/10.1109/IWQoS54832.2022.9812878
Li ZMeng JChen HTan H(2022)Percentile Optimization Based on Classical Parallel Machine Scheduling Model2022 8th International Conference on Big Data Computing and Communications (BigCom)10.1109/BigCom57025.2022.00020(96-102)Online publication date: Aug-2022
https://doi.org/10.1109/BigCom57025.2022.00020
Zhan YGhamkhari MAkhavan-Hejazi HXu DMohsenian-Rad H(2021)Cost-Aware Traffic Management Under Demand Uncertainty from a Colocation Data Center User’s PerspectiveIEEE Transactions on Services Computing10.1109/TSC.2018.279609514:2(400-412)Online publication date: 1-Mar-2021
https://doi.org/10.1109/TSC.2018.2796095

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