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Author: 林伯軒
Bo-Shiuan Lin
Thesis Title: 在雲-邊緣-霧聯合系統中比較一跳與兩跳卸載
Comparing One-hop and Two-hop Offloading in Cloud-Edge-Fog Federated Systems
Advisor: 金台齡
Tai-Lin Chin
Committee: 賓拿雅
Binayak Kar
林盈達
Ying-Dar Lin
陳永昇
Yeong-Sheng Chen
Degree: 碩士
Master
Department: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
Thesis Publication Year: 2021
Graduation Academic Year: 109
Language: 英文
Pages: 74
Keywords (in Chinese): 雲-邊緣-霧聯合系統雙向垂直水平雙跳卸載
Keywords (in other languages): Cloud-Edge-Fog federated systems, Bidirectional vertical, Horizontal, Two-hop, Offloading
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與雲計算類似,邊緣計算和霧計算技術更接近用戶,提供類似的服務,但規模更低且分佈更廣。我們將這些組合成一個單一的聯邦來擴展計算環境,其中計算請求可以在它們之間有效地卸載。由於現有卸載模型僅限於單跳和單向垂直場景,我們提出了聯合雲、邊緣和霧系統的通用卸載模型,以提供兩跳、水平和雙向垂直卸載。我們制定了一個優化問題,利用延遲來做為限制去最小化總成本,並使用模擬退火演算法作為其解決方案。我們的結果顯示出,與一跳卸載相比,兩跳可以節省10%-20%的成本。水平和雙向卸載比起不水平卸載和單向垂直卸載分別節省近12%和20%的成本。


Similar to cloud computing, edge and fog computing technologies evolve closer to users, providing similar services but on a lower, yet more widely distributed scale. Combining these into a single federation expands the computing environment where computing requests could be offloaded effectively among them. Since existing offloading models are limited to single-hop and unidirectional vertical scenarios, we propose a generic offloading model of federated cloud-edge-fog systems to provide two-hop, horizontal, and bidirectional vertical offloading. We formulate an optimization problem to minimize the total cost with latency as a constraint and apply simulated annealing as its solution. Our results show that 10%-20% of costs can be saved with two-hop compared to one-hop offloading. With horizontal and bidirectional offloading, nearly 12% and 20% in costs can be saved, compared to no horizontal offloading and only unidirectional vertical offloading, respectively.

Abstract in Chinese Abstract in English Contents List of Figures List of Tables List of Algorithms 1 Introduction 2 Related Work 3 System Model 3.1 Proposed Cloud­Edge­Fog Federated Systems 3.2 One­Hop and Two­Hop Offloading 3.2.1 One­Hop Offloading Request 3.2.2 Two­Hop Offloading Request 4 Problem Formulation 4.1 One­hop offloading : Communication and Computation Latency 4.1.1 One­hop offloading : Communication Latency 4.1.2 One­hop offloading : Computation Latency 4.2 One­hop offloading : Communication and Computation Cost 4.2.1 One­hop offloading : Communication Cost 4.2.2 One­hop offloading : Computation Cost 4.3 One­hop offloading : Objective Function and Constraints 4.4 Two­hop offloading : Communication and Computation Latency 4.4.1 Two­hop offloading : Communication Latency 4.4.2 Two­hop offloading : Computation Latency 4.5 Two­hop offloading : Communication and Computation Cost 4.5.1 Two­hop offloading : Communication Cost 4.5.2 Two­hop offloading : Computation Cost 4.6 Two­hop offloading : Objective Function and Constraints 5 Proposed Algorithm 6 Parameters Results and Analysis 6.1 Scenarios and Parameters 6.2 One­hop offloading vs. Two­hop offloading 6.2.1 Total cost analysis 6.2.2 Workload in different latency constraints 6.2.3 Average sojourn time – One­hop vs. two­hop offloading 6.3 Unidirectional offloading vs. Bidirectional offloading 6.3.1 Total cost – unidirectional vs. bidirectional offloading 6.3.2 Workload – unidirectional vs. bidirectional offloading 6.3.3 Average sojourn time – unidirectional vs. bidirectional offloading 6.4 With Horizontal Offloading vs. Without Horizontal Offloading 6.4.1 Total cost analysis – w/ vs. w/o horizontal offloading 6.4.2 Workload analysis – w/ vs. w/o horizontal offloading 6.4.3 Average sojourn time – w/ vs. w/o horizontal offloading 7 Conclusions References Letter of Authority

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