Browsing by Author "Yang, Chia-Lee"

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Key Consideration Factors of Adopting Cloud Computing for Science
(2012)
Yang, Chia-Lee
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Hwang, Bang-Ning
;
Yuan, Benjamin J. C.
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科技管理研究所
;
Institute of Management of Technology
The scientific projects are characterized of requiring high performance computing resources, complex configuration environment, and massive storage. Compared with the traditional grid computing that has been employed by scientific projects for decades, the emerging cloud computing technology offers scientists an alternative of acceptable computing performance and massive storage required with lower infrastructure construction cost and more elastic and flexible system extendibility. Despite these enticing benefits and growing interest of exercising science cloud, there exist uncertainties and challenges that barricade the wide adoption of cloud computing in the scientific field. The goal of this paper is to identify the key consideration factors of adopting cloud computing for science and explore the interrelationship among them. We first developed a comprehensive hierarchy of consideration factors comprising four dimensions and ten underlying factors. Subsequently, we conducted an in-depth survey and interview of 22 domain experts who were actively involved in constructing Taiwan national science clouds. The surveyed data was finally analyzed by employing Decision Making Trial and Evaluation Laboratory (DEMATEL) technique to explore the influential network relationship of these consideration factors. Our findings suggest that Cost, Networking, and Elasticity are the top three dominant factors influencing the adoption of cloud computing for science.
Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method
(2015-05-01)
Yang, Chia-Lee
;
Yuan, Benjamin J. C.
;
Huang, Chi-Yo
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科技管理研究所
;
Institute of Management of Technology
Disaster recovery sites are an important mechanism in continuous IT system operations. Such mechanisms can sustain IT availability and reduce business losses during natural or human-made disasters. Concerning the cost and risk aspects, the IT disaster-recovery site selection problems are multi-criterion decision making (MCDM) problems in nature. For such problems, the decision aspects include the availability of the service, recovery time requirements, service performance, and more. The importance and complexities of IT disaster recovery sites increases with advances in IT and the categories of possible disasters. The modern IT disaster recovery site selection process requires further investigation. However, very few researchers tried to study related issues during past years based on the authors' extremely limited knowledge. Thus, this paper aims to derive the aspects and criteria for evaluating and selecting a modern IT disaster recovery site. A hybrid MCDM framework consisting of the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) will be proposed to construct the complex influence relations between aspects as well as criteria and further, derive weight associated with each aspect and criteria. The criteria with higher weight can be used for evaluating and selecting the most suitable IT disaster recovery sites. In the future, the proposed analytic framework can be used for evaluating and selecting a disaster recovery site for data centers by public institutes or private firms.