Impact of utilizing forecasted network traffic for data transfers

Ng Kar Hoong, Poo Kuan Hoong, Ian K. T. Tan, Nithiapidary Muthuvelu, Lee Ching Seng*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Sharing of information leads to the need to transfer data between geographically distant locations. Identifying the most appropriate time period to execute the data transfer is essential to achieve the best data transfer throughput; e.g. one can forecast network traffic, identify future low network traffic activities between two entities, and plan the data transfer accordingly. This forecasting can be done using Autoregressive Moving Average (ARMA) time series model. In this paper, we conduct an empirical study in a controlled laboratory environment to realise the impact of performing data transfer during the forecasted low network traffic activities. The network information is captured using a network analyzer and post-processed to create stationary data. This data is then passed to ARMA and the forecasting results produced by ARMA is post-processed to derive the forecasted network traffic activities. Comparison is made between the throughputs of the data transfers initiated when the forecasted network traffic is low and when the forecasted network traffic is high.

Original languageEnglish
Title of host publication13th International Conference on Advanced Communication Technology 2011
PublisherIEEE
Pages1199-1204
Number of pages6
ISBN (Print)9788955191554
Publication statusPublished - 2011
Event13th International Conference on Advanced Communication Technology: Smart Service Innovation through Mobile Interactivity - Gangwon-Do, Korea, Republic of
Duration: 13 Feb 201116 Feb 2011

Conference

Conference13th International Conference on Advanced Communication Technology: Smart Service Innovation through Mobile Interactivity
Abbreviated titleICACT 2011
Country/TerritoryKorea, Republic of
CityGangwon-Do
Period13/02/1116/02/11

Keywords

  • ARMA
  • data transfer
  • network forecasting
  • performance
  • time series

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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