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TARDIS: stably shifting traffic in space and time

Authors:

Miguel RioAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 42, Issue 1

Pages 593 - 594

https://doi.org/10.1145/2637364.2592037

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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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
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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

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

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

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2014

Published in SIGMETRICS Volume 42, Issue 1

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Cited By

View all

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
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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