A Differentiated Service Scheme to Optimise Website Revenues

We consider a website host server with web quality of service (QoS) capabilities to offer differentiated services. A quantitative modelling framework is set up to analyse the economic benefits of differentiated services and to build optimization models for managing the website host's connection...

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Main Authors: Ou, J.H, Parlar, Mahmut, MOOSA, Sharafali
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Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/917
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spelling sg-smu-ink.lkcsb_research-19162010-09-23T06:24:04Z A Differentiated Service Scheme to Optimise Website Revenues Ou, J.H Parlar, Mahmut MOOSA, Sharafali We consider a website host server with web quality of service (QoS) capabilities to offer differentiated services. A quantitative modelling framework is set up to analyse the economic benefits of differentiated services and to build optimization models for managing the website host's connection bandwidth to the Internet (which is assumed to be the bottleneck factor determining the QoS). Three models are formulated corresponding to three operational scenarios to provide differentiated services. The first is for the marketing manager to classify visit requests as premium or basic when the information technology (IT) manager has already reserved bandwidths for the two classes, and the second is for the IT manager to allocate the total available bandwidth to each class when the marketing manager has already designated which visit requests are premium and which are basic. The third is for the joint optimization of request classification and bandwidth allocation when centralized coordination is possible. Analytic results are obtained for a special case that corresponds to very impatient customers requesting large amounts of data. Qualitative insights gained and numerical results obtained strongly support the implementation of differentiated services. More interestingly, the decentralized models that use simple and rough-cut rules yield solutions almost as good as the joint optimization model. 2003-12-19T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/917 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Operations and Supply Chain Management
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Operations and Supply Chain Management
spellingShingle Operations and Supply Chain Management
Ou, J.H
Parlar, Mahmut
MOOSA, Sharafali
A Differentiated Service Scheme to Optimise Website Revenues
description We consider a website host server with web quality of service (QoS) capabilities to offer differentiated services. A quantitative modelling framework is set up to analyse the economic benefits of differentiated services and to build optimization models for managing the website host's connection bandwidth to the Internet (which is assumed to be the bottleneck factor determining the QoS). Three models are formulated corresponding to three operational scenarios to provide differentiated services. The first is for the marketing manager to classify visit requests as premium or basic when the information technology (IT) manager has already reserved bandwidths for the two classes, and the second is for the IT manager to allocate the total available bandwidth to each class when the marketing manager has already designated which visit requests are premium and which are basic. The third is for the joint optimization of request classification and bandwidth allocation when centralized coordination is possible. Analytic results are obtained for a special case that corresponds to very impatient customers requesting large amounts of data. Qualitative insights gained and numerical results obtained strongly support the implementation of differentiated services. More interestingly, the decentralized models that use simple and rough-cut rules yield solutions almost as good as the joint optimization model.
format text
author Ou, J.H
Parlar, Mahmut
MOOSA, Sharafali
author_facet Ou, J.H
Parlar, Mahmut
MOOSA, Sharafali
author_sort Ou, J.H
title A Differentiated Service Scheme to Optimise Website Revenues
title_short A Differentiated Service Scheme to Optimise Website Revenues
title_full A Differentiated Service Scheme to Optimise Website Revenues
title_fullStr A Differentiated Service Scheme to Optimise Website Revenues
title_full_unstemmed A Differentiated Service Scheme to Optimise Website Revenues
title_sort differentiated service scheme to optimise website revenues
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/lkcsb_research/917
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