An Effective Approach for Content Delivery in an Evolving Intranet Environment – A Case Study of the Largest Telecom Company in Taiwan

Journal of the Chinese Institute of Engineers

Luh

2013

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In a content-delivery system, connections are viewed as resources for sending files. However, the growing business needs of large-scale networks require an effective content-delivery service for transferring files. Since connections are sparse resources, prioritizing connections is essential for efficiently delivering urgent files and regular files based on various business priorities. This study presents a loss function as a performance index for a content-delivery service. The proposed loss function was applied to a sample content-delivery system to derive the average number of regular files in the retry group, the probability of failure to transfer a regular file in the first attempt, and the probability of failure to transmit urgent files. Additionally, the loss was associated with the decreased number of reserve connections under regular hours and peak hours. The experimental results show that the proposed model finds the optimal number of reserve connections for sending high-and low-priority files, and a manager can increase the service rate to ensure that losses are tolerable when delivering urgent files. Finally, the relative probabilities of blocked urgent files and blocked regular files are used as an indicator of efficiency in reserving connections.

Section: System Descriptionmentioning

confidence: 99%

Optimal services for content delivery based on business priority

Journal of the Chinese Institute of Engineers

Luh

2013

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“…Given profitable ideas, these Taiwanese firms can establish small -medium software companies with minimal capital (Shiau, Hsu, & Wang, 2009). However, the importance of ensuring a good-quality software information system based on customer expectations increases the associated benefits (Issac, Rajendran, & Anantharaman, 2004a, 2004bLiang, Hsu, Leu, & Luh, 2005;Wang, Liang, Lu, Chow, & Chang, 2004). Organisations thus must establish high-quality software products based on customer expectations, especially small -medium software organisations.…”

Section: Introductionmentioning

confidence: 96%

“…Software products must exceed customer expectations, since customer decide to purchase products to access associated functions (Issac et al, 2004a(Issac et al, , 2004bLiang et al, 2005;Wang et al, 2004). Additionally, to ensure the possibility of executing a goodquality software product development project, the quality of the development process must be ensured while developing the software system (Liang et al, 2005;Yoo et al, 2006).…”

Section: Introductionmentioning

confidence: 96%

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Effective approach to quality control for small–medium software companies

Lyu

Total Quality Management & Business Excellence

2013

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The quality of information system development is a priority for organisations that rely on developing office software applications. Information system quality should be assessed via a standard procedure. Various methods have been presented for enhancing information system software development. However, existing approaches are costly and difficult to implement and thus are rarely employed by small -medium organisations in developing countries. Fortunately, statistical approaches, when applied properly, are less resource intensive than conventional approaches for improving the development of software information systems, while being equally effective. However, few investigations have mentioned the procedures involved in adopting these valuable statistical approaches for smallmedium organisations. This study measures the quality of the software development process via a proposed procedure using a statistical approach named the process capability index that is currently primarily used to measure the quality of hardware manufacturing processes. The proposed procedure enables organisations to ensure that the quality of the software development process matches corporate goals, is not resource intensive, and fulfills customer needs. Finally, a case study is discussed to demonstrate how a company can adopt the proposed procedure to enhance the quality of information system development.

“…On average, the revenues contributed by customers of telecommunication companies in Taiwan range from $7.9 US dollars/month (regular users) to $60 US dollars/month (important users) (National Communication Commission, 2014). This statistic implies that VIP customers can benefit a company far more than regular customers do (Kim et al, 2012;Liang et al, 2005Liang et al, , 2009. Therefore based on financial considerations companies should adopt business strategies by which they respond to VIP customers faster than regular ones.…”

Section: Introductionmentioning

confidence: 99%

Solving two-dimensional Markov chain model for call centers

Industrial Management &Amp; Data Systems

Luh

2015

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Purpose-The purpose of this paper is to develop a novel model of a call center that must treat calls with distinctly different service depending on whether they orginate from VIP or regular customers. VIP calls must be responded to immediately but regular calls can be routed to a retrial queue if the operators are busy. Design/methodology/approach-This study's proposed model can easily reveal the optimal arrangement of operators while minimizing computational time and without losing any precision of the performance measure when dealing with a call center with more operators. Findings-Based on the results of the comparison between the exact method and the proposed approximation method, the approach shows that the larger the number of operators or inbound calls, the smaller the error between the two methods. Originality/value-This investigation presents a computational method and management cost function intended to identify the optimal number of operators for a call center. Because of computational limitations, many operators could not be easily analyzed using the exact method. For the manager of a call center, the sooner the optimal solution is found, the faster business strategies are deployed. This study develops an approximation method and compares it with the exact method.