隨著雲霧運算的發展，網際網路的服務型態也隨之改變，不同於以往點對點連接之服務，雲霧運算將成為未來主要的服務型態，形成由使用者主導之多元化服務。然而無線通訊技術的進步，物聯網概念也隨之迅速發展，目前已廣泛應用於智慧建築、工業自動化與生醫資訊等環境中。近年來，智慧型行動裝置的普及化也成為物聯網與雲端的發展助力，基於智慧型行動裝置的可攜性、無線通訊與行動運算等優點，藉由物聯網與之相互結合，衍生出更豐富且創新的應用服務，達到智慧生活的發展目標。
本研究致力於雲運算與霧運算之資源分配與任務排程研究，該研究係於雲霧資源效能分析機制，藉以分析雲霧資源使用狀態，並同時建立管理者模組，實現雲霧運算之資源分配，從而實現雲霧混合系統架構之最佳資源分配運作。此外，本研究藉由管理者的任務排程機制，透過目標函式來計算最小成本，使物聯網裝置可依所求來達到最好的服務品質，藉以打破既有之物聯網分散概念，實現新一代通訊網路應用服務。
本研究提出一個以訊息為中心之物聯網架構，包含中介層與管理者，透過物聯網中介層進行裝置監控，並將物聯網代理人與資料分類建立於中介層內。隨著物聯網裝置啟動，物聯網裝置透過代理人傳輸至中介層，並交由資料分類模組進行分析，運用雲霧監控模組比較資源結果，最後透過管理者之任務排程與資源分配模組來判定資料運算方式。根據研究結果顯示，本研究所提出之資源分配可有效分配資源的使用率，提高雲霧混合系統架構的工作效率。其次，最後所提出之資料分類進行分析，將不同的優先權資料處理，相較於沒有優先權機制的系統，更能確保資料不互相搶奪資源，且同時達成服務層級協議(Service Level Agreement)之目標，並於高優先權資料與未依優先權資料分類之運算時間上相互比較，能改善42.28%。

With the rapid development of wireless communication technology, the concept of the Internet of Things (IoT) has gained increasing attention. The concept of IoT is extensively applied to smart buildings, industrial automation and biomedicine. Cloud computing has emerged as an important issue because of changes by typical network services. Nowadays, cloud computing has provided users with diverse and highly flexible application services. Recently, Wireless communication and Cloud-Fog computing enable smart things to be easily connected to the IoT and increasing number of creative IoT applications and services are approaching to achieve the goal of smart living.

This study proposes an architecture for an information centric IoT system with agent management and job classification implemented in the IoT middleware. The concept of the agent management is used to control the IoT and the job classification is used to categorize data by different types. However, the resource allocation and task scheduling mechanism are implemented in the IoT manager. The concept of the resource allocation is used to optimize the distribution of fog and cloud utilization network in dynamic Cloud-Fog computing system and task scheduling , in order to find out the minimum cost for each resource. This two mechanism support a new generation of communication network services so as to fulfill the goal of optimizing the quality of services in a Cloud-Fog computing system.

This study proposed information centric IoT system in a Cloud-Fog computing. First, it analyzes utilization rate of every material. Based on the results, the manager uses resource allocation to further examine the resource utilization to select which was rather appropriate to present in the study. It increases the utilization of each Fog and cloud services to users with a new, better quality of service resource. Nevertheless, this study proposes a job classification mechanism. For example, different priorities of data make different sequences. The data classifies various priorities to make sure that it complies with Service Level Agreement (SLA) and avoids data preemption at the same time. The higher priority data processing time reduces by 42.28% comparing to former one without job classification system.

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