Improved Routing in Networks through Load Prediction Strategy

Ron Posti; Michael Segal

doi:10.1109/DRCN51631.2021.9477322

Improved Routing in Networks through Load Prediction Strategy

Ron Posti
, Michael Segal

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Communication protocols are mostly based on shortest-path and per-flow static hashing which may cause under utilization, congestion and misusage of links. Thanks to the advancement of Software Defined Networking (SDN), computing and storage technologies, today's big data analytics, machine learning and artificial intelligence (AI) technologies give network operators an unprecedented opportunity to gain network insights and move towards network autonomy. This work presents a proof for the efficiency of prediction algorithms in addition to their load prediction accuracy lower bound required to help network operators to improve the overall network performance. The results show us that the load prediction accuracy lower bound does not necessarily depend on the network topologies' parameters.

Original language	English
Title of host publication	2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021
ISBN (Electronic)	9780738123288
DOIs	https://doi.org/10.1109/DRCN51631.2021.9477322
State	Published - 19 Apr 2021
Event	17th International Conference on the Design of Reliable Communication Networks, DRCN 2021 - Milano, Italy Duration: 19 Apr 2021 → 22 Apr 2021

Publication series

Name	2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021

Conference

Conference	17th International Conference on the Design of Reliable Communication Networks, DRCN 2021
Country/Territory	Italy
City	Milano
Period	19/04/21 → 22/04/21

Keywords

ECMP
SDN
load balancing
load prediction

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Safety, Risk, Reliability and Quality

Access to Document

10.1109/DRCN51631.2021.9477322

Cite this

@inproceedings{971621911c4842f79b6626eca1fe0ec9,

title = "Improved Routing in Networks through Load Prediction Strategy",

abstract = "Communication protocols are mostly based on shortest-path and per-flow static hashing which may cause under utilization, congestion and misusage of links. Thanks to the advancement of Software Defined Networking (SDN), computing and storage technologies, today's big data analytics, machine learning and artificial intelligence (AI) technologies give network operators an unprecedented opportunity to gain network insights and move towards network autonomy. This work presents a proof for the efficiency of prediction algorithms in addition to their load prediction accuracy lower bound required to help network operators to improve the overall network performance. The results show us that the load prediction accuracy lower bound does not necessarily depend on the network topologies' parameters.",

keywords = "ECMP, SDN, load balancing, load prediction",

author = "Ron Posti and Michael Segal",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021 ; Conference date: 19-04-2021 Through 22-04-2021",

year = "2021",

month = apr,

day = "19",

doi = "10.1109/DRCN51631.2021.9477322",

language = "English",

series = "2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021",

booktitle = "2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021",

}

Posti, R & Segal, M 2021, Improved Routing in Networks through Load Prediction Strategy. in 2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021., 9477322, 2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021, 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021, Milano, Italy, 19/04/21. https://doi.org/10.1109/DRCN51631.2021.9477322

Improved Routing in Networks through Load Prediction Strategy. / Posti, Ron; Segal, Michael.
2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021. 2021. 9477322 (2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improved Routing in Networks through Load Prediction Strategy

AU - Posti, Ron

AU - Segal, Michael

PY - 2021/4/19

Y1 - 2021/4/19

N2 - Communication protocols are mostly based on shortest-path and per-flow static hashing which may cause under utilization, congestion and misusage of links. Thanks to the advancement of Software Defined Networking (SDN), computing and storage technologies, today's big data analytics, machine learning and artificial intelligence (AI) technologies give network operators an unprecedented opportunity to gain network insights and move towards network autonomy. This work presents a proof for the efficiency of prediction algorithms in addition to their load prediction accuracy lower bound required to help network operators to improve the overall network performance. The results show us that the load prediction accuracy lower bound does not necessarily depend on the network topologies' parameters.

AB - Communication protocols are mostly based on shortest-path and per-flow static hashing which may cause under utilization, congestion and misusage of links. Thanks to the advancement of Software Defined Networking (SDN), computing and storage technologies, today's big data analytics, machine learning and artificial intelligence (AI) technologies give network operators an unprecedented opportunity to gain network insights and move towards network autonomy. This work presents a proof for the efficiency of prediction algorithms in addition to their load prediction accuracy lower bound required to help network operators to improve the overall network performance. The results show us that the load prediction accuracy lower bound does not necessarily depend on the network topologies' parameters.

KW - ECMP

KW - SDN

KW - load balancing

KW - load prediction

UR - https://www.scopus.com/pages/publications/85114214256

U2 - 10.1109/DRCN51631.2021.9477322

DO - 10.1109/DRCN51631.2021.9477322

M3 - Conference contribution

T3 - 2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021

BT - 2021 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021

T2 - 17th International Conference on the Design of Reliable Communication Networks, DRCN 2021

Y2 - 19 April 2021 through 22 April 2021

ER -

Improved Routing in Networks through Load Prediction Strategy

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this