博碩士論文 107423049 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:17 、訪客IP:3.144.12.246
姓名 吳繼元(Chi-Yuan Wu)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 應用於邊緣運算情境下的服務品質架構:以分散式自走車服務為例
(A Service Quality Framework for Edge Computing: A Case of Distributed Autonomous Vehicle Service)
相關論文
★ 專案管理的溝通關鍵路徑探討─以某企業軟體專案為例★ 運用並探討會議流如何促進敏捷發展過程中團隊溝通與文件化:以T銀行系統開發為例
★ 專案化資訊服務中人力連續派遣決策模式之研究─以高鐵行控資訊設備維護為例★ 以組織正義觀點介入案件指派決策之研究
★ 應用協調理論建立系統軟體測試中問題改善之協作流程★ 應用案例式推理於問題管理系統之研究 -以筆記型電腦產品為例
★ 運用限制理論於多專案開發模式的人力資源配置之探討★ 應用會議流方法於軟體專案開發之個案研究:以翰昇科技公司為例
★ 多重專案、多期再規劃的軟體開發接案決策模式:以南亞科技資訊部門為例★ 會議導向敏捷軟體開發及系統設計:以大學畢業專題為例
★ 一種基於物件、屬性導向之變更影響分析方法於差異化產品設計★ 會議流方法對大學畢業專題的團隊合作品質影響之實驗研究
★ 實施敏捷式發展法於大學部畢業專題之 行動研究 – 以中央大學資管系為例★ 建立一個用來評核自然語言需求品質的線上資訊系統
★ 結合本體論與模糊分析網路程序法於軟體測試之風險與風險關聯辨識★ 在軟體反向工程中針對UML結構模型圖之線上品質評核系統
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2025-7-1以後開放)
摘要(中) 在現今資訊化的時代下,雲端運算受限於網路頻寬大小以及地理位置遠近等因素,沒有辦法即時滿足特定物聯網服務的需求,例如:自駕車、智慧城市等。而邊緣運算的出現正好滿足雲端運算的不足之處,邊緣運算採用分散式架構,因此比起雲端運算,邊緣運算能優化回應服務請求的速度,減少延遲,並大量減少網路頻寬的使用量以及能源與傳輸成本上的浪費。然而,在邊緣運算場景服務越發盛行的情況下,我們缺少一個在此服務情境下發生之服務的品質衡量辦法。因此,本研究旨在針對機器網絡之間發生的服務,並以更全面的角度出發,提出一應用於邊緣運算情境下之服務品質綜效架構(Edge Computing Service Quality Framework,簡稱EdgeQual)。同時,透過此一架構所建立的五個品質構面指標─可靠性、回應性、可用性、靈活性、流動性,並結合服務品質缺口理論來衡量服務品質。在實務應用上,本研究依據所提出之架構,實作出一個分散式自走車雛型系統;並將此系統運行之服務所得出的數據結果,透過網頁的方式呈現。為了驗證本研究提出的架構與所實作出之系統的可行性,本研究亦改變實驗環境的設置來測試EdgeQual是否會因為環境的改變導致服務品質結果的變動。實驗結果證實當研究環境越不好時,服務品質的表現也會越不好。最後,針對現有的運用與研究限制進行討論,並提出未來研究的可能方向。
摘要(英) In the era of informatization, cloud computing suffers from the network bandwidth and the geographical distance and thus is hard to fulfill the demand of specific IoT service, such as self-driving car and smart city. Due to its features of decentralization and distribution, edge computing is believed to solve the problem of cloud computing. Compare to cloud computing, edge computing has multiple advantages, it can optimize its response time to service requests and reduce latency as well. Furthermore, it can decrease the usage of network bandwidth and the waste of power and transmission cost. However, current development of edge computing lacks a measurement of service quality under edge computing scenario is still needed. As a result, this research proposed an edge computing service quality framework, EdgeQual, and focused on the services operating on machines. EdgeQual includes five dimensions: reliability, responsiveness, availability, elasticity, and mobility. Service quality of edge computing can be evaluated with the integration of EdgeQual’s five dimensions and service quality gap theory. According to the framework proposed, we implemented a distributed smart robot car system prototype to operate a service, and collect all the data produced by the service, then presented the results on the website. Moreover, to validate the EdgeQual and the system feasibility, we change the experimental condition to test if these changes of environment will affect the service quality. The result showed that if the experimental environment in a bad condition will have a negative impact on service quality. At last, we will discuss the research restriction and the possible way of future research.
關鍵字(中) ★ 服務品質
★ 邊緣運算
★ 物聯網
★ 分散式運算
★ 自走車
★ 服務品質缺口
關鍵字(英) ★ Service Quality
★ Edge Computing
★ Internet of Things
★ Distributed Computing
★ Smart Robot Car
★ Service Quality Gap
論文目次 摘要 v
Abstract vi
目錄 vii
圖目錄 ix
表目錄 x
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機與問題 2
1.3 研究目的 3
1.4 研究範圍與假設 4
1.5 論文架構 5
第二章 文獻探討 6
2.1 邊緣運算 6
2.1.1 邊緣運算發展歷程 6
2.1.2 邊緣運算與其他運算之比較 7
2.2 服務品質 11
2.2.1 服務品質的定義 11
2.2.2 服務品質模式 12
2.2.3 服務品質的衡量方式 16
第三章 系統概念與設計 19
3.1 EdgeQual架構 19
3.2 架構之細部說明 23
3.2.1 可靠性(Reliability) 23
3.2.2 回應性(Responsiveness) 25
3.2.3 可用性(Availability) 29
3.2.4 靈活性(Elasticity) 30
3.2.5 流動性(Mobility) 31
3.2.6 預期服務(Perceived Service) 32
3.2.7 實際服務(Performed Service) 32
3.2.8 服務品質缺口(Service Quality Gap) 33
3.3 服務品質維度衡量釋例 34
3.3.1 服務情境 34
3.3.2 服務品質維度之演繹 35
第四章 系統實作與展示 37
4.1 研究環境與實驗流程 37
4.1.1 研究環境之建置 37
4.1.2 研究實驗流程 40
4.2 系統實作與說明 42
4.2.1 初步設定 43
4.2.2 系統執行 45
第五章 系統成果與討論 52
5.1 系統驗證 52
5.2 不同服務環境比較結果 54
5.3 驗證單一維度 57
第六章 結論與展望 62
6.1 研究結論與貢獻 62
6.2 研究限制與未來發展 63
參考文獻 Ahmed, E., Ahmed, A., Yaqoob, I., Shuja, J., Gani, A., Imran, M., & Shoaib, M. J. I. C. M. (2017). Bringing computation closer toward the user network: Is edge computing the solution? , 55(11), 138-144.
Ai, Li, K., Lan, S., Zhang, F., Mei, J., Li, K., & Buyya, R. J. S. P. (2016). On elasticity measurement in cloud computing. 2016.
Ai, Y., Peng, M., & Zhang, K. (2018). Edge computing technologies for Internet of Things: a primer. Digital Communications and Networks, 4(2), 77-86.
Al-Dhuraibi, Y., Paraiso, F., Djarallah, N., & Merle, P. J. I. T. o. S. C. (2017). Elasticity in cloud computing: state of the art and research challenges. 11(2), 430-447.
Balan, R. K., & Flinn, J. (2017). Cyber foraging: Fifteen years later. IEEE Pervasive Computing, 16(3), 24-30.
Barlow, R. E., & Proschan, F. (1975). Statistical theory of reliability and life testing: probability models.
Barnes, S. J., & Vidgen, R. T. (2002). An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research, 3(3), 114-127.
Bauer, E., & Adams, R. (2012). Reliability and availability of cloud computing: John Wiley & Sons.
Benlian, A., Koufaris, M., & Hess, T. (2011). Service quality in software-as-a-service: Developing the SaaS-Qual measure and examining its role in usage continuance. Journal of management information systems, 28(3), 85-126.
Blut, M. (2016). E-service quality: development of a hierarchical model. Journal of retailing, 92(4), 500-517.
Blut, M., Beatty, S. E., Evanschitzky, H., & Brock, C. (2014). The impact of service characteristics on the switching costs–customer loyalty link. Journal of retailing, 90(2), 275-290.
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the internet of things. Paper presented at the Proceedings of the first edition of the MCC workshop on Mobile cloud computing.
Boubin, J., Chumley, J., Stewart, C., & Khanal, S. (2019). Autonomic computing challenges in fully autonomous precision agriculture. Paper presented at the 2019 IEEE International Conference on Autonomic Computing (ICAC).
Butt, M. M., & de Run, E. C. (2010). Private healthcare quality: applying a SERVQUAL model. International journal of health care quality assurance, 23(7), 658-673.
Cenedese, A., Zanella, A., Vangelista, L., & Zorzi, M. (2014). Padova smart city: An urban internet of things experimentation. Paper presented at the Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.
Chiang, M., & Zhang, T. (2016). Fog and IoT: An overview of research opportunities. IEEE Internet of Things Journal, 3(6), 854-864.
Cisco. (2018, December 13, 2019). Cisco Global Cloud Index: Forecast and Methodology, 2016–2021 White Paper. Retrieved from https://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/white-paper-c11-738085.html
Consortium, O. (2017, February ). OpenFog Reference Architecture for Fog Computing. Retrieved from https://www.iiconsortium.org/pdf/OpenFog_Reference_Architecture_2_09_17.pdf
Dai, Y.-S., Xie, M., Poh, K.-L., Liu, G. J. R. E., & Safety, S. (2003). A study of service reliability and availability for distributed systems. 79(1), 103-112.
Dawson, R. (2011). How significant is a boxplot outlier? Journal of Statistics Education, 19(2).
Dholakia, R. R., & Uusitalo, O. (2002). Switching to electronic stores: consumer characteristics and the perception of shopping benefits. International Journal of Retail & Distribution Management.
Dilley, J., Maggs, B., Parikh, J., Prokop, H., Sitaraman, R., & Weihl, B. (2002). Globally distributed content delivery. IEEE Internet Computing, 6(5), 50-58.
El-Sayed, H., Sankar, S., Prasad, M., Puthal, D., Gupta, A., Mohanty, M., & Lin, C.-T. (2017). Edge of things: the big picture on the integration of edge, IoT and the cloud in a distributed computing environment. IEEE Access, 6, 1706-1717.
Foundation, R. P. Raspberry Pi Universal Power Supply Specification. Retrieved from https://www.raspberrypi.org/products/raspberry-pi-universal-power-supply/
Franke, U., Johnson, P., & König, J. (2014). An architecture framework for enterprise IT service availability analysis. Software & Systems Modeling, 13(4), 1417-1445.
Garcia Lopez, P., Montresor, A., Epema, D., Datta, A., Higashino, T., Iamnitchi, A., . . . Riviere, E. (2015). Edge-centric computing: Vision and challenges. In: ACM New York, NY, USA.
Ghahramani, M. H., Zhou, M., & Hon, C. T. J. I. C. J. o. A. S. (2017). Toward cloud computing QoS architecture: Analysis of cloud systems and cloud services. 4(1), 6-18.
Ghobadian, A., Speller, S., & Jones, M. (1994). Service quality. International journal of quality & reliability management, 11(9), 43-66.
Gia, T. N., Rahmani, A. M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2018). Fog computing approach for mobility support in internet-of-things systems. IEEE Access, 6, 36064-36082.
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., . . . Toulmin, C. (2010). Food security: the challenge of feeding 9 billion people. science, 327(5967), 812-818.
González-Valenzuela, S., Chen, M., & Leung, V. C. (2011). Mobility support for health monitoring at home using wearable sensors. IEEE Transactions on Information Technology in Biomedicine, 15(4), 539-549.
Goudarzi, H., & Pedram, M. (2011). Multi-dimensional SLA-based resource allocation for multi-tier cloud computing systems. Paper presented at the 2011 IEEE 4th International Conference on Cloud Computing.
Grönroos, C. (1982). An applied service marketing theory. European Journal of marketing, 16(7), 30-41.
Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of marketing, 18(4), 36-44.
Han, R., Ghanem, M. M., Guo, L., Guo, Y., & Osmond, M. J. F. G. C. S. (2014). Enabling cost-aware and adaptive elasticity of multi-tier cloud applications. 32, 82-98.
Härri, J., Fiore, M., Filali, F., & Bonnet, C. (2011). Vehicular mobility simulation with VanetMobiSim. Simulation, 87(4), 275-300.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing: Emerald Group Publishing Limited.
Hofacker, C. F., Goldsmith, R. E., Bridges, E., & Swilley, E. (2007). E-services: a synthesis and research agenda. In E-Services (pp. 13-44): Springer.
Holovaty, A., & Kaplan-Moss, J. (2009). The definitive guide to Django: Web development done right: Apress.
Huang, E. Y., Lin, S.-W., & Fan, Y.-C. (2015). MS-QUAL: Mobile service quality measurement. Electronic Commerce Research and Applications, 14(2), 126-142.
IEEE. (1998). 1061-1998 - IEEE Standard for a Software Quality Metrics Methodology. In: IEEE.
Jia, M., Cao, J., & Liang, W. (2015). Optimal cloudlet placement and user to cloudlet allocation in wireless metropolitan area networks. IEEE Transactions on Cloud Computing, 5(4), 725-737.
Jiang, C., Cheng, X., Gao, H., Zhou, X., & Wan, J. (2019). Toward Computation Offloading in Edge Computing: A Survey. IEEE Access, 7, 131543-131558.
Johns, N. (1999). What is this thing called service? European Journal of marketing, 33, 958-974.
Klas, G. (2017). Edge computing and the role of cellular networks. Computer, 50(10), 40-49.
Klutke, G.-A., Kiessler, P. C., & Wortman, M. A. J. I. T. o. r. (2003). A critical look at the bathtub curve. 52(1), 125-129.
Kristensen, M. D. (2010). Scavenger: Transparent development of efficient cyber foraging applications. Paper presented at the 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).
Lam, T. K. (2002). Making sense of SERVQUAL′s dimensions to the Chinese customers in Macau. Journal of Market-Focused Management, 5(1), 43-58.
Lewis. (1989). Quality in the service sector: a review. International Journal of Bank Marketing.
Lewis, R. C., & Booms, B. H. (1983). The marketing aspects of service quality. Emerging perspectives on services marketing, 65(4), 99-107.
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5), 1125-1142.
Lionello, R. L., Slongo, L. A., & de Matos, C. A. (2020). Electronic service quality: a meta-analysis. Marketing Intelligence & Planning.
Lovelock, C., & Gummesson, E. (2004). Whither services marketing? In search of a new paradigm and fresh perspectives. Journal of service research, 7(1), 20-41.
Lu, Y., Miller, A. A., Hoffmann, R., & Johnson, C. W. (2016). Towards the Automated Verification of Weibull Distributions for System Failure Rates. In Critical Systems: Formal Methods and Automated Verification (pp. 81-96): Springer.
Manyik, J., & Chui, M. (2015). By 2025, Internet of Things Applications Could Have $11 Trillion Impact. . Retrieved from https://www.mckinsey.com/mgi/overview/in-the-news/by-2025-internet-of-things-applications-could-have-11-trillion-impact
Marín-Tordera, E., Masip-Bruin, X., García-Almiñana, J., Jukan, A., Ren, G.-J., & Zhu, J. (2017). Do we all really know what a fog node is? Current trends towards an open definition. Computer Communications, 109, 117-130.
Marinković, V., Senić, V., Kocić, M., & Šapić, S. (2013). Investigating the impact of SERVQUAL dimensions on customer satisfaction: The lessons learnt from Serbian travel agencies. International Journal of Tourism Research, 15(2), 184-196.
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing.
Meulen, R. v. d. (2018). What Edge Computing Means for Infrastructure and Operations Leaders. Retrieved from https://www.gartner.com/smarterwithgartner/what-edge-computing-means-for-infrastructure-and-operations-leaders/
Miller, M. (2008). Cloud computing: Web-based applications that change the way you work and collaborate online: Que publishing.
Moeller, S. (2010). Characteristics of services–a new approach uncovers their value. Journal of services Marketing, 24(5), 359-368.
Morabito, R., Cozzolino, V., Ding, A. Y., Beijar, N., & Ott, J. J. I. N. (2018). Consolidate IoT edge computing with lightweight virtualization. 32(1), 102-111.
Newman, K. (2001). Interrogating SERVQUAL: a critical assessment of service quality measurement in a high street retail bank. International Journal of Bank Marketing, 19(3), 126-139.
Parasuraman, Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of marketing, 49(4), 41-50.
Parasuraman, Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perc. Journal of retailing, 64(1), 12-40.
Parasuraman, Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213-233.
Passarella, A. (2012). A survey on content-centric technologies for the current Internet: CDN and P2P solutions. Computer Communications, 35(1), 1-32.
Petritoli, E., Leccese, F., & Ciani, L. (2018). Reliability and maintenance analysis of unmanned aerial vehicles. Sensors, 18(9), 3171.
Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: a measure of information systems effectiveness. MIS quarterly, 173-187.
Porambage, P., Okwuibe, J., Liyanage, M., Ylianttila, M., & Taleb, T. (2018). Survey on multi-access edge computing for internet of things realization. IEEE Communications Surveys & Tutorials, 20(4), 2961-2991.
Premsankar, G., Di Francesco, M., & Taleb, T. (2018). Edge computing for the Internet of Things: A case study. IEEE Internet of Things Journal, 5(2), 1275-1284.
Puliafito, C., Mingozzi, E., Longo, F., Puliafito, A., & Rana, O. (2019). Fog computing for the internet of things: A Survey. ACM Transactions on Internet Technology (TOIT), 19(2), 1-41.
Ra, M.-R., Sheth, A., Mummert, L., Pillai, P., Wetherall, D., & Govindan, R. (2011). Odessa: enabling interactive perception applications on mobile devices. Paper presented at the Proceedings of the 9th international conference on Mobile systems, applications, and services.
Reale, A. (2017). A guide to Edge IoT analytics. Retrieved from https://www.ibm.com/blogs/internet-of-things/edge-iot-analytics/
Rieke, M., Foerster, T., Geipel, J., & Prinz, T. (2011). High-precision positioning and real-time data processing of UAV systems. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(1/C22).
Ryan, C., & Cliff, A. (1997). Do travel agencies measure up to customer expectation? An empirical investigation of travel agencies′ service quality as measured by SERVQUAL. Journal of Travel & Tourism Marketing, 6(2), 1-31.
Santos, J. (2003). E‐service quality: a model of virtual service quality dimensions. Managing Service Quality: An International Journal, 13(3), 233-246.
Sasser, W. E., Olsen, R. P., & Wyckoff, D. D. (1978). Management of service operations: Text, cases, and readings: Allyn & Bacon.
Sathe, S., Papaioannou, T. G., Jeung, H., & Aberer, K. (2013). A survey of model-based sensor data acquisition and management. In Managing and mining sensor data (pp. 9-50): Springer.
Satyanarayanan, M. (2015). A brief history of cloud offload: A personal journey from odyssey through cyber foraging to cloudlets. GetMobile: Mobile Computing and Communications, 18(4), 19-23.
Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30-39.
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637-646.
Shi, W., & Dustdar, S. (2016). The promise of edge computing. Computer, 49(5), 78-81.
Thoma, M., Meyer, S., Sperner, K., Meissner, S., & Braun, T. (2012). On iot-services: Survey, classification and enterprise integration. Paper presented at the 2012 IEEE International Conference on Green Computing and Communications.
Tien, J. M. (2008). Services: A system′s perspective. IEEE Systems Journal, 2(1), 146-157.
Torell, W., & Avelar, V. J. w. p. (2004). Mean time between failure: Explanation and standards. 78.
Van Dyke, T. P., Kappelman, L. A., & Prybutok, V. R. (1997). Measuring information systems service quality: concerns on the use of the SERVQUAL questionnaire. MIS quarterly, 195-208.
Verhulst, P.-F. (1838). Notice sur la loi que la population suit dans son accroissement. Corresp. Math. Phys., 10, 113-126.
Wang, S., Zhao, Y., Huang, L., Xu, J., & Hsu, C.-H. (2019). QoS prediction for service recommendations in mobile edge computing. Journal of Parallel and Distributed Computing, 127, 134-144.
Wisniewski, M. (2001). Using SERVQUAL to assess customer satisfaction with public sector services. Managing Service Quality: An International Journal, 11(6), 380-388.
Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of retailing, 79(3), 183-198.
Ye, K., Shen, H., Wang, Y., & Xu, C. J. I. T. o. C. C. (2020). Multi-tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization.
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., . . . Jue, J. P. (2019). All one needs to know about fog computing and related edge computing paradigms: A complete survey. Journal of Systems Architecture, 98, 289-330.
Zeithaml, V. A. (1981). How consumer evaluation processes dlffer between goods and serveces. Paper presented at the American Marketing Association First Services Marketing Conference.
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: a critical review of extant knowledge. Journal of the academy of marketing science, 30(4), 362-375.
Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications, 1(1), 7-18.
Zheng, X., Martin, P., Brohman, K., & Da Xu, L. (2014). Cloudqual: A quality model for cloud services. IEEE transactions on industrial informatics, 10(2), 1527-1536.
指導教授 陳仲儼(Chung-Yang Chen) 審核日期 2020-6-30
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明