NetFPGA上基於OpenFlow的跨雲端動態資源調配機制之設計與實作

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張德勤(Der-Chyn Chang) 查詢紙本館藏

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論文名稱

NetFPGA上基於OpenFlow的跨雲端動態資源調配機制之設計與實作
(Design and Implementation of OpenFlow-based Dynamic Resource Allocation Mechanism in Inter-Cloud on NetFPGA)

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摘要(中)

近幾年雲端運算（Cloud Computing）受到企業或政府普遍的使用，也使得雲端中之資源管理成為一個重要的研究議題。雲端運算的概念是源自於分散式系統及網格運算，並且透過虛擬化技術，將實體機器上的硬體資源共享給不同使用者，充分使用實體資源，增加資源使用率，間接地降低企業成本。隨著舉世聞名的大公司帶動之下，建立在雲端運算上的雲端服務也越來越多，也越來越多國際公司提供雲端服務；但是目前雲與雲之間仍然欠缺一個有效的跨雲端之資源調配機制，使得雲與雲之間缺少一個互助性；而雲端間之互助能有效改善雲端服務的達成率以及使用者之感受程度，直接或間接地讓雲端提供者得到利益。本論文實作一個跨雲端之動態資源調配機制來改善現今跨雲間之互助性問題。
本論文提出一個基於模糊理論之動態資源調配機制（Fuzzy-based Dynamic Resource Allocation，簡稱FDRA），並且在各個雲端環境中實作一個雲端代理人，透過各個雲端上的雲端代理人統整各自的雲端資源之資訊，搭配本論文所提出的FDRA機制來配給雲端資源，提供一個動態地資源調配方式，以達到雲端中之資源使用負載平衡，以及跨雲端的資源互助。系統架構主要為裝載有NetFPGA網路開發板的雲端代理人及其所屬的雲端叢集，其中雲端叢集內部皆以OpenFlow Protocol互相溝通，基於此架構之上，建立本論文所提之FDRA機制，並且完成實作。最後，本論文所提機制與DAIRS機制做比較。實驗結果顯示，本論文所提之FDRA最多比DAIRS好上37.2%，顯示更能夠在資源負載不均衡的情形下調配資源改善負載不均衡之情形。

摘要(英)

In recent years, Cloud Computing is popular with most enterprises and government and also makes the cloud resource management has become an important research topics. The concept of cloud computing follows distributed systems and grid computing, and shares the physical resources to different users through the virtualization technologies in order to increase the resource utilization and reduce the costs. With the leading of world-famous companies, the number of cloud services is increased rapidly, but an effective resource allocation mechanism is still scarce between each cloud, which makes the lack of a resource mutual aid in inter-cloud. Nevertheless, inter-cloud with such assistance can improve the achievement rates of cloud services and the degree of users’ feelings, bringing the benefits to the service provider directly or indirectly. In this paper, we proposed a dynamic resource allocation mechanism to improve the insufficient of mutual assistance nowadays in inter-cloud.
This paper presents a Fuzzy-based Dynamic Resource Allocation mechanism (FDRA), and a Cloud Broker is implemented in each cloud. The Cloud Broker not only integrates the information of each cloud cluster, but also reallocates the cloud resources with FDRA to achieve the load balance and the resource mutual assistance. The system architecture includes NetFPGA-based Cloud Brokers and Cloud Broker-owned cloud clusters. The OpenFlow protocol is deployed to provide the communication between the computing nodes and a Cloud Broker in each cloud cluster. Finally, the proposed FDRA is compared with DAIRS mechanism. The experimental results show that FDRA is 37.2% times better than DAIRS in best case, especially under the condition of the load imbalance of cloud resource.

關鍵字(中)

★ 雲端運算
★ 資源調配
★ 跨雲端
★ OpenFlow
★ NetFPGA
★ 模糊理論
★ 資源互助

關鍵字(英)

★ OpenFlow
★ NetFPGA
★ Cloud Computing
★ Inter-Cloud
★ Resource Allocation
★ Resource Mutual Assistance
★ Fuzzy

論文目次

摘要 i
Abstract ii
致謝. iv
目錄. v
圖目錄 viii
表目錄. xi
第一章緒論 1
1.1 概要 1
1.2 研究動機 . 4
1.3 研究目的 . 4
1.4 章節架構 . 5
第二章背景知識與相關研究 . 6
2.1 雲端運算及虛擬化技術 6
2.2 雲端資源配置 . 10
2.3 Hadoop . 14
2.4 NetFPGA 與OpenFlow 專案 . 15
2.5 相關研究比較 . 18
第三章研究方法 . 20
3.1 系統設計與系統架構 . 20
3.1.1. GUI Module（使用者介面模組） 26
3.1.2. Fuzzy Module（模糊模組） . 28
3.1.3. Cloud Decision Module（雲端決策模組） 33
3.1.4. Cloud to Cloud Module（跨雲端模組） . 34
3.1.5. Resource Sharing Module（資源共享模組） 36
3.1.6. Node Decision Module（節點決策模組） . 37
3.1.7. OpenFlow Module（OpenFlow 模組） . 38
3.1.8. Migration Module（搬遷模組） 39
3.1.9. Database Module（資料庫模組） . 42
3.1.10. Computing Module（運算節點模組） 44
3.1.11. Monitor Module（監測模組） . 45
3.2 系統運作流程 . 46
3.2.1 資料符號表 47
3.2.2 系統定義與假設 49
3.2.3 系統模組與運作流程 . 50
3.2.4 FDRA 機制運作流程 . 56
3.2.5 Cloud Decision Module 運作流程 62
3.2.6 Cloud to Cloud Module 運作流程 62
3.2.7 Resource Sharing Module 運作流程 64
3.2.8 Migration Module 運作流程 66
3.3 系統實作與系統功能 . 72
3.3.1 系統實作 . 72
3.3.2 系統功能 . 75
第四章實驗結果與討論 79
4.1 情境一：雲端使用者之操作 79
實驗一：使用者註冊及登入 79
實驗二：使用者提出雲端資源請求 81
實驗三：使用者查詢所屬雲端資源的帳號、密碼以及其使用期限 82
實驗四：使用者觀察所屬資源的監測資訊 84
4.2 情境二：雲端代理人建立Hadoop 雲端運算實驗環境 . 84
實驗五：使用者使用Hadoop 雲端運算 . 85
4.3 情境三：雲端代理人在Single Cloud 上之資源調配 . 86
實驗六：透過雲端代理人了解雲端資源使用情形 . 87
實驗七：FDRA 與DAIRS 機制之比較 90
實驗八：FDRA 與DAIRS 機制之比較（loading 稍重） 95
實驗九：FDRA 與DAIRS 機制之比較（unbalance） 100
實驗十：雲端代理人在Single Cloud 中進行虛擬機搬遷 . 105
4.4 情境四：雲端代理人在Inter Cloud 上之資源調配 108
實驗十一：雲端代理人在Inter Cloud 中進行虛擬機搬遷 108
實驗十二：雲端代理人實行Inter-Migration 之時間 . 114
實驗十三：雲端代理人實行跨雲端資源共享（一） 115
實驗十四：雲端代理人實行跨雲端資源共享（二） 121
實驗十五：不同監測時間週期對整體雲端之影響 . 127
第五章結論與未來研究 131
5.1 結論 131
5.2 未來研究 132
參考文獻 134

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指導教授

周立德(Li-Der Chou)

審核日期

2012-8-17

推文