Acta Informatica Malaysia (AIM)

Associating User's Psychology Into Quality Of Service: An Example of Web Adaptation Services

December 6, 2018 Posted by Nurul In Acta Informatica Malaysia (AIM)



Associating User’s Psychology Into Quality Of Service: An Example of Web Adaptation Services

Journal: Acta Informatica Malaysia (AIM)
Author: Mohd Farhan Md Fudzee, Juliana Mohamed, Azizul Azhar Ramli, Shahreen Kasim, Hairulnizam Mahdin, Mohd Norasri Ismai, Azizan Ismail & Mohd Hanif Jofri

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi: 10.26480/aim.01.2017.29.31

Content adaptation is a potential solution for tailoring multimedia web content according to the users’ preferences and heterogeneous devices’ constraints. Content adaptation can be done as third party service over the Internet. Users may pay for the service thus demand quality. The quality should include the human psychological factors. One of these factors is the maximum time a user can wait for the output to be displayed. Thus, response time is one of the qualities of service (QoS) to be considered in assessing the deliverability of content adaptation services. However, the advertised response time may not be deliverable accordingly during the actual service execution due to heavy load. Practically, the service provider should able to determine a current deliverable response time before the service level agreement (SLA) is settled with the users. In this paper, we propose a strategy for service providers to evaluate incoming requests and capable of offering the new response time. The proposed strategy takes into account the current server load and enables a mechanism for the user to evaluate whether the new response time can be accepted or not. We analyzed the performance of the proposed strategy in terms of SLA settlement under various conditions. The results indicate that the proposed strategy performs well.
Pages 29-31
Year 2017
Issue 1
Volume 1