透過您的圖書館登入
IP:216.73.216.100
  • 學位論文

雲端運算環境中建置碳足跡運算系統之探討

A Study of Developing Carbon Footprint System for Cloud Computing

指導教授 : 項衛中

摘要


近年來,由於溫室效應的結果導致全球氣候變遷,並嚴重影響到人類生存問題,全球暖化已成為世界關注的焦點之一,所以「節能減碳」已成為首要的議題。為了呼應全球暖化的議題,許多國家都開始提倡溫室氣體減量的活動。本研究提出建構碳足跡運算系統以計算供應鏈中產品由原料至零售商所產生的碳排放量,企業可依此資訊系統訂定降低碳排放量的方案,以達成減碳的目標。 本研究認為建置能讓產品供應鏈夥伴皆能方便執行的碳足跡運算系統,經由不同的裝置,如電腦、手機等,使用此系統所提供的運算服務,對碳足跡運算的實用性有相當大的助益。若能在雲端運算環境中建置系統,並以服務導向架構的概念來設計其所需要的服務。此碳足跡運算系統可讓供應鏈夥伴彼此分享資料,且系統具有高服務可用性、彈性、以及擴充性,也可藉由分散式與平行運算的能力,來達到減少資料處理的時間。 服務導向架構針對企業需求並以服務為基礎,設計出所需的應用程式或系統,並以鬆散耦合的特色提供具有彈性及高效率的資訊技術環境。故本研究首先確認碳足跡運算系統所需的服務,並依此設計符合國際規範的碳足跡運算系統,可應用於業界以具體評估及分析產品碳資訊。這些服務具有彈性以因應環境變化,增強企業快速反應的能力。 本研究使用Google推出的Google App Engine(GAE)平台作為開發與佈署的工具。在雲端運算環境中建置碳足跡運算系統,並透過網際網路以服務的方式提供給供應鏈夥伴使用。

並列摘要


Recently, greenhouse effect has made the global climate change and seriously threat to human survival; therefore, global warming and “Energy Conservation and Carbon Reduction” have become global major issues. Many countries have promoted activities to reduce greenhouse gas. This research proposed to develop a carbon footprint information system to calculate the carbon emissions generated from producing a product from raw materials to retailers in a supply chain. Enterprises can use this information system to design carbon emissions reduction plans and to achieve the goal of carbon reduction. This research planned to develop a carbon footprint information system and supply chain partners could easily access this system through various electronic devices such as computer and mobile phone. Furthermore, with computing services that this system provides, it has considerable benefit to the practices of the carbon footprint calculation. The information system was realized in cloud computing environment, and the concept of Service oriented architecture (SOA) was applied to design carbon footprint computing services. This system allowed supply chain partners to share information with each other, and the system was designed with availability, flexibility, and scalability. The distributed computing and parallel computing were also used to reduce data processing time. SOA tried to fulfill business needs based on providing services which can be developed as applications or systems. The SOA system would have loosely coupled characteristics providing a flexible and efficient system developing environment. This research first identified the services of the carbon footprint information system, and designed the system which met the international requirements. This system could analyze and assess carbon information of products for the supply chain companies. The services with flexibility in the system could cope with environment changes such that enterprise reinforces the ability of rapid response. Google App Engine (GAE) was used in this research as the development and deployment platform. A carbon footprint system was developed in the Google cloud computing environment; therefore supply chain partners could use various services through the Internet.

參考文獻


Arsanjani, A., Zhang, L. J., Ellis, M., Allam, A., & Channabasavaiah, K. (2007). Design an SOA solution using a reference architecture. IBM developerWorks, 1-15.
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems 25, 599-616.
Carter, S. (2007). The New Language of Business SOA & Web 2.0. NJ: IBM Press/Pearson.
Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud computing and grid computing 360-degree compared. Grid Computing Environments Workshop (GCE '08), 1-10.
Lee, K. H. (2011). Integrating carbon footprint into supply chain management: the case of Hyundai Motor Company (HMC) in the automobile industry. Journal of Cleaner Production, 19, 1216-1223.

被引用紀錄


林賢禮(2014)。SOA雲端運算服務應用於面板產業人力資源資訊系統之研究〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201400193
王諝棕(2013)。建構行動雲端運算服務品質模型之探討〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201300480
項衛中、彭定國、劉偉聖(2016)。運用服務導向架構發展中小企業之雲端碳足跡運算系統電子商務學報18(2),141-182。https://doi.org/10.6188/JEB.2016.18(2).01

延伸閱讀