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Title: Cost Estimation Queueing Model For A Large-Scaled File Delivering Service
Authors: Liang, Chih-Chin
Wang, Chia-Hung
Luh, Hsing
Contributors: 應數系
Keywords: cost estimation;content delivery
Date: 2011-06
Issue Date: 2016-02-18 13:37:29 (UTC+8)
Abstract: A large-scale content delivery service within a company in Taiwan uses 40 servers to deliver files from the company's ordering system. In a content delivery system, servers and connections are the resources for sending files. However, because of increasing business needs, the content delivery service must be used for transferring various files rather than just a single business unit. This increases the content delivery frequency. Once a connection is used for delivering a file, the occupied connection serves no other file delivery purpose. Because each connection has a cost, the use of a connection that delivers no other packets represents an opportunity loss, with the necessity of delivering a higher number of packets creating a higher opportunity loss for the existing service. Further, each file sent through this content delivery service has its specified importance because of the different business needs. The average loss caused by the failure to send an important file is considerably larger than that when sending a regular file. That is, the opportunity costs of sending various types of files are different. Because the connections are sparse resources, it is important to discuss a way to use these connections efficiently for delivering various files. In other words, the manager must find a way to control the loss caused by the content delivery service because the opportunity cost of failing to deliver content with different priorities must be endurable. Therefore, this work analyzes the cost function of the queuing model of the proposed content delivery service. The results show that a manager can control the reservation of connections in order to deliver important packets with a minimum cost. That is, the manager can manage content delivery as efficiently as possible.
Relation: International Journal of Electronic Commerce Studies, 2(1), 19-34
Data Type: article
Appears in Collections:[應用數學系] 期刊論文

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