TY - JOUR
T1 - Routing-Oblivious Network-Wide Measurements
AU - Ben-Basat, Ran
AU - Einziger, Gil
AU - Landau Feibish, Shir
AU - Moraney, Jalil
AU - Tayh, Bilal
AU - Raz, Danny
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - The recent introduction of SDN allows deploying new centralized network algorithms that dramatically improve network operations. In such algorithms, the centralized controller obtains a network-wide view by merging measurement data from Network Measurement Points (NMPs). A fundamental challenge is that several NMPs may count the same packet, reducing the accuracy of the measurement. Existing solutions circumvent this problem by assuming that each packet traverses a single NMP or that the routing is fixed and known. This work suggests novel algorithms for three fundamental network-wide measurement problems without making any assumptions on the topology and routing and without modifying the underlying traffic. Specifically, this work introduces two algorithms for estimating the number of (distinct) packets or byte volume in the measurement, estimating per-flow packet and byte counts, and finding the heavy hitter flows. Our work includes formal accuracy guarantees and an extensive evaluation consisting of the realistic fat-tree topology and three real network traces. Our evaluation shows that our algorithms outperform existing works and provide accurate measurements within reasonable space parameters.
AB - The recent introduction of SDN allows deploying new centralized network algorithms that dramatically improve network operations. In such algorithms, the centralized controller obtains a network-wide view by merging measurement data from Network Measurement Points (NMPs). A fundamental challenge is that several NMPs may count the same packet, reducing the accuracy of the measurement. Existing solutions circumvent this problem by assuming that each packet traverses a single NMP or that the routing is fixed and known. This work suggests novel algorithms for three fundamental network-wide measurement problems without making any assumptions on the topology and routing and without modifying the underlying traffic. Specifically, this work introduces two algorithms for estimating the number of (distinct) packets or byte volume in the measurement, estimating per-flow packet and byte counts, and finding the heavy hitter flows. Our work includes formal accuracy guarantees and an extensive evaluation consisting of the realistic fat-tree topology and three real network traces. Our evaluation shows that our algorithms outperform existing works and provide accurate measurements within reasonable space parameters.
KW - Communication technology
KW - Internet
KW - communication systems
KW - computer networks
UR - http://www.scopus.com/inward/record.url?scp=85121866511&partnerID=8YFLogxK
U2 - 10.1109/TNET.2021.3061737
DO - 10.1109/TNET.2021.3061737
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AN - SCOPUS:85121866511
SN - 1063-6692
VL - 29
SP - 2386
EP - 2398
JO - IEEE/ACM Transactions on Networking
JF - IEEE/ACM Transactions on Networking
IS - 6
ER -