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Improving Consumer Satisfaction Through Building an Allocation Cloud

Authors:
Kuo Chen Wu
Hewijin Christine Jiau
Kuo-Feng Ssu

Keywords: Quality of Service; Request Allocation; Consumer Satisfaction

Abstract:
Consumer satisfaction depends on the quality of service. Services with high quality usually lead to high cost. Due to the budget limitation, consumers tend to acquire services with lowest cost. Feasible request allocation can improve service quality or reduce service cost. Some request allocation algorithms need the coordination with service consumers, but the benefits from consumers’ coordination are arranged by service providers, especially for on-demand consumers. On-demand consumers have no idea to improve service quality or reduce service cost through allocating their requests, even though service providers can collect on-demand requests to perform feasible request allocation for efficient service execution. To solve this issue, an allocation cloud is proposed in this study. The allocation cloud assists consumers in allocating requests to optimize consumer satisfaction. Because the allocation cloud contains various allocation algorithms and collects a large amount of service requests, the allocation cloud can coordinate service consumers to follow feasible request allocation algorithms. Moreover, the allocation cloud can reveal the relation between service consumers’ coordination and the improvement of service execution. The revealed relation can help service consumers decide beneficial strategies to improve their satisfaction. To evaluate the effectiveness of our approach, a study of video delivery service is conducted. The results confirm that consumer satisfaction can be improved through the proposed allocation cloud.

Pages: 31 to 37

Copyright: Copyright (c) IARIA, 2012

Publication date: August 19, 2012

Published in: conference

ISSN: 2308-4324

ISBN: 978-1-61208-212-7

Location: Rome, Italy

Dates: from August 19, 2012 to August 24, 2012