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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 郭斯彥 | |
| dc.contributor.author | Ching-Kai Kao | en |
| dc.contributor.author | 高靖凱 | zh_TW |
| dc.date.accessioned | 2021-06-08T03:53:57Z | - |
| dc.date.copyright | 2018-08-24 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-16 | |
| dc.identifier.citation | [1] De, S., Barnaghi, P., Bauer, M., Meissner, S. “Service Modelling for the Internet of Things” in Proceedings of the Federated Conference on Computer Science and Information Systems (2011). [2] Dar K, Taherkordi A, Rouvoy R, Eliassen F, “Adaptable service composition for very-large-scale internet of things systems” in Proceedings of the 8th middleware doctoral symposium, MDS ’11. ACM, pp 2:1–2:6 (2011). [3] C. Consel and M. Kabác, “Internet of things: From small- to large-scale orchestration” in IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pages 1748–1755, June (2017). [4] Velasquez K, Abreu DP, Gonçalves D, Bittencourt L, Curado M, Monteiro E, Madeira E, “Service orchestration in fog environments” in 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud), p. 329–36. (2017). [5] Mathias B, Saiful H, Thomas M, “A Service Orchestration Architecture for Fog-enabled Infrastructures” in 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), May. (2017) [6] Z. Wen, R. Yang, P. Garraghan, T. Lin, J. Xu, and M. Rovatsos, “Fog orchestration for Internet of Things services,” IEEE Internet Comput., vol. 21, no. 2, pp. 16–24, Feb. (2017). [7] Bonomi, F., Milito, R., Zhu, J., Addepalli, S. “Fog computing and its role in the internet of things” in Proceedings of 1st Workshop on Mobile Cloud Computing (MCC 2012), pp. 13–16. ACM (2012). [8] Bonomi, F., Milito, R., Natarajan, P., Zhu, J. “Fog computing: a platform for internet of things and analytics” in Big Data and Internet of Things: A Roadmap for Smart Environments. Studies in Computational Intelligence, vol. 546, pp. 169–186 (2014). [9] Junjie, M., Hongming, C., Wei, W., Chengxi, H., Fengming, C., Boyi, X. “A Web of Things Based Device-adaptive Service Composition Framework” in IEEE 13th International Conference on e-Business Engineering (ICEBE), Nov. (2016). [10] HyunJae, L., EunJin, J., Donghyun, K., Jinmyeong, K., Soonhoi, H. “A Novel Service-Oriented Platform for the Internet of Things” in Proceedings of the Seventh International Conference on the Internet of Things, Oct. (2017). [11] M. Stecca, C. Moiso, M. Fornasa, P. Baglietto and M. Maresca, 'A Platform for Smart Object Virtualization and Composition,' in IEEE Internet of Things Journal, vol. 2, no. 6, pp. 604-613, Dec. (2015). [12] Object Management Group (OMG), https://www.omg.org. [13] Schmidt, D. C, “Model-Driven Engineering” in IEEE Computer. 39 (2), 25-31 (2006). [14] Gamma, E., R. Helm, R. Johnson, and J. Vlissides. Design Patterns: Elements of Reusable ObjectedOriented Software. Addison Wesley. (1995). [15] Elasticsearch, https://www.elastic.co/products/elasticsearch. [16] Kibana, https://www.elastic.co/products/kibana. [17] International Data Corporation (IDC), https://www.idc.com. [18] M. A. Razzaque, M. Milojevic-Jevric, A. Palade and S. Clarke,”Middleware for Internet of Things: A Survey,” in IEEE Internet of Things Journal, vol. 3, no. 1, pp. 70-95, Feb. 2016. [19] AWS IoT, https://aws.amazon.com/tw/iot-platform/how-it-works. [20] Microsoft Azure, https://azure.microsoft.com. [21] Google Cloud IoT, https://cloud.google.com/solutions/iot. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21936 | - |
| dc.description.abstract | 物聯網服務協作代表將不同物聯網裝置所提供之不同的功能整合，以達到某個特定的目的。由於雲端提供豐沛之運算與儲存資源，過往大部分的物聯網服務協作會架至於雲端。然而，雲端與裝置間往往存在不可避免之訊息延遲。而某些物聯網應用可能無法忍受這樣的延遲。因此，如何將物聯網服務協作從雲端遷移至更靠近物聯網裝置的霧端變得格外重要。在本論文中，我們提出了一種基於模式驅動工程之霧端物聯網協作方法。本論文採用物件導向之手法對複雜環境進行塑模。此模型主要包含四大部分：虛擬物件、物聯網服務代理人、霧端/雲端服務代理人與服務協作引擎。最後，我們設計了一個物料倉儲的案例以說明此模型之可行性。 | zh_TW |
| dc.description.abstract | IoT service orchestration, which means integrating different functionalities provided by IoT devices to realize a specific task, is a prevalent issue. In the past, the work of service orchestration is usually done on cloud because there are abundant resources provided on cloud. However, the latency between the edge devices and the cloud is inevitable and some latency sensitive applications may not be able to tolerate it. Therefore, the concept of fog computing is adopted and how to orchestrate the IoT services on fog becomes more and more important. In this thesis, a model driven approach of IoT service orchestration on fog is proposed. The concept of objected-oriented principles is adopted to model the complicated environment. The model includes four parts, which are virtual objects, IoT service agents, fog/cloud service agents and the service orchestration engine. In addition, a use case of material storage is designed in order to explain the usage of this service orchestration model. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T03:53:57Z (GMT). No. of bitstreams: 1 ntu-107-R05921104-1.pdf: 8910475 bytes, checksum: 49dad94f75ecc85a7b9454b1c0cb18c4 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 論文口試委員會審定書......................................................................i 摘要................................................................................................ ii Abstract........................................................................................ iii Contents....................................................................................... iv List of Figures................................................................................vi Chapter 1 Introduction .................................................................. 1 1.1 Background .............................................................................. 1 1.2 Motivation................................................................................ 5 1.3 Contribution ............................................................................ 5 Chapter 2 Related Works ............................................................. 7 2.1 Fog Computing ....................................................................... 7 2.2 IoT Service Orchestration ...................................................... 8 2.3 Model Driven Architecture ................................................... 13 Chapter 3 Design of Service Orchestration Model .................... 15 3.1 Model of Virtual Object ........................................................ 16 3.2 Model of IoT Service Agent ................................................... 18 3.3 Model of Fog/Cloud Service Agent ....................................... 20 3.4 Model of Decentralized Service Orchestration Engine on Fog ........................ 22 Chapter 4 Experimental Results................................................. 26 4.1 Scenario Description..............................................................26 4.2 Experimental Setup................................................................27 4.3 Experimental Results ........................................................... 30 Chapter 5 Conclusions and Future Works ................................. 33 References ................................................................................ 35 | |
| dc.language.iso | en | |
| dc.title | 基於模型驅動方法的霧端物聯網服務協作 | zh_TW |
| dc.title | Fog-Based IoT Service Orchestration based on Model-Driven Approach | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 顏嗣鈞,雷欽隆,袁世一,陳英一 | |
| dc.subject.keyword | 霧運算,霧端物聯網服務,服務協作,模式驅動工程,設計模式, | zh_TW |
| dc.subject.keyword | Fog Computing,Fog-Based IoT Services,Service Orchestration,Model-Driven Engineering (MDA),Design Patterns, | en |
| dc.relation.page | 37 | |
| dc.identifier.doi | 10.6342/NTU201803575 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2018-08-16 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位： | 電機工程學系 | |
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| ntu-107-1.pdf 未授權公開取用 | 8.7 MB | Adobe PDF |
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