A Forecasting Model for Data Centre Bandwidth Utilisation

Files in This Item:
File Description SizeFormat 
A Forecasting Model for Data Center Bandwidth.pdf1.92 MBAdobe PDFDownload
Title: A Forecasting Model for Data Centre Bandwidth Utilisation
Authors: Talpur, Samar Raza
Kechadi, Tahar
Permanent link: http://hdl.handle.net/10197/8368
Date: 22-Sep-2016
Online since: 2017-02-20T13:38:11Z
Abstract: Bandwidth optimization and its efficient utilization is more challenging in operating data centers. Our model can assist for proper usage of resource utilization and accommodate large scale of bursty data. In this paper we propose forecast model for Data Center Bandwidth Utilization system; a forecast model for data centers to predict and estimate proper bandwidth utilization in real-world situations. Based on self-learning procedures, the proposed forecasting model will optimize the traffic and predict bandwidth more efficiently. Our approach is based on Time Series and Vector Autoregression (VAR-Model) models, it optimizes the bandwidth traffic detecting and diagnosing the future based on historical data.
Type of material: Conference Publication
Keywords: OptimisationDecision analyticsBandwidth utilizationNetwork forecastingTime seriesARIMA modelsExponential smoothingVAR model
Other versions: http://saiconference.com/Conferences/IntelliSys2016
Language: en
Status of Item: Peer reviewed
Conference Details: The SAI Intelligent Systems Conference (IntelliSys 2016), CentrEd at ExCel London, London, United Kingdom, 21-22 September 2016
Appears in Collections:Computer Science Research Collection
Insight Research Collection

Show full item record

Download(s) 20

checked on May 25, 2018

Google ScholarTM


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.