在預算資源有限且不需在計算機和網(wǎng)絡硬件花費過多經(jīng)費的條件下,為了對師生提供有效地學習和教學服務,云計算環(huán)境是教育機構(gòu)開發(fā)教學和學習系統(tǒng)一個非常好的選擇。同時,它也是當前在教學和學習方面帶來巨大影響的技術之一。云提供了能夠在任意地方、任何時間訪問的豐富教學工具。學生和老師借助于標準瀏覽器能夠在具有因特網(wǎng)接入功能的設備上訪問云資源。通過標準瀏覽器,學生和老師能夠訪問功課內(nèi)容、背景材料、測試和課程指定的應用等。使用云環(huán)境,任何高等機構(gòu)能夠創(chuàng)立一個綜合的在線環(huán)境為身在各個地方或國家的學生提供相同質(zhì)量的內(nèi)容和資源。云平臺也能夠為學生提供重要資源,比如書寫的內(nèi)容、供老師上課和實驗用的音視頻材料等。由于教學和學習系統(tǒng)是部署在云端,這個系統(tǒng)能夠常規(guī)測試,以加強在數(shù)學、化學、物理、計算機和工程等課程上的新信息和課程指定的應用等,從而幫助學生實踐在課堂中所學到的技能。 高可用性系統(tǒng)的目標是維持全時間的可用性,并阻止因斷電、硬件失效和系統(tǒng)更新的服務崩潰。所有的這些有助于避免除異常情況外的系統(tǒng)低可用性和失效性。為了確保云環(huán)境中系統(tǒng)的高可用性,并且保持客戶端在最小響應時間內(nèi)能夠訪問系統(tǒng)資源,將常用資源復制到附近...

【文章頁數(shù)】：122 頁

【學位級別】：碩士

【文章目錄】：
Acknowledgments
Abstract
中文摘要
CHAPTER 1. INTRODUCTION
    1.1 Cloud Computing
        1.1.1 Types of Cloud Computing Services
        1.1.2 Cloud Service Providers
        1.1.3 Deployment Models
    1.2 Teaching and Learning System in Cloud
        1.2.1 Cloud-based Teaching and LearningTools
        1.2.2 Cloud Computing Benefits
        1.2.3 Challenges and Solutions
    1.3 Availability in Cloud
        1.3.1 Redundancy through Replication
        1.3.2 Load Balancing Techniques
    1.4 Motivation of the Research
    1.5 Statement of the Problem
    1.6 Objectives of the Research
    1.7 Significance of the Research
    1.8 Scope of the Research
    1.9 Organization of the Thesis
CHAPTER 2. LITERATURE REVIEW
    2.1 Web-based Teaching and Learning System
        2.1.1 Functional Components in Web-based Teaching and Learning System
    2.2 Cloud-based Teaching and Learning System
        2.2.1 Cloud-based Teaching and Learning Architecture
        2.2.2 Benefits of the Cloud-based Teaching and Learning Architecture
    2.3 Fault Tolerance Technology in the Cloud
        2.3.1 Virtualization Fault Tolerant Methodology
    2.4 Summary
CHAPTER 3. PRELIMINARIES
    3.1 Key Concepts and Definitions of Availability
        3.1.1 Instantaneous (or Point) Availability, A(t)
        3.1.2 Steady-state Availability, A(∞)
        3.1.3 Inherent Availability, AI

        3.1.4 Average Up-time Availability (or Mean Availability), A
        3.1.5 Achieved Availability, A_A

        3.1.6 Operational Availability, A_o

        3.1.7 Causes of unavailability
    3.2 Cloud Data Replication
        3.2.1 Array-based Replication
        3.2.2 Network-based Appliances Replication
        3.2.3 Host-based Replication
        3.2.4 Synchronous Replication
        3.2.5 Asynchronous Replication
    3.3 Related Essentials of Redundancy in Cloud
        3.3.1 Snapshots
        3.3.2 Hardware RAID
        3.3.3 Erasure coding Vs. Replication
    3.4 Load Balancing in Cloud
        3.4.1 Static Load Balancing Algorithms
        3.4.2 Dynamic Load Balancing Algorithms
    3.5 Summary
CHAPTER 4. HIGH AVAILABILITY ASSURANCE REPLICATION STRATEGY
    4.1 System Model and Assumptions
        4.1.1 Modeling Block Availability
        4.1.2 Mode ling File Availability
        4.1.3 Characterizing Node Availability
    4.2 Proposed High Availability Assurance Replication Strategy
        4.2.1 Which data files and When to Replicate
        4.2.2 Determining the Number of New Replicas
        4.2.3 How to Place New Replicas in Cloud Storage
        4.2.4 High Availability Assurance Replication Algorithm
    4.3 Simulations and Performance Analysis
        4.3.1 Simulation Environment and Parameter Setup
        4.3.2 Performance Evaluation
    4.4 Summary
CHAPTER 5. EFFICIENT LOAD BALANCING APPROACH FOR VIRTUALMACHINES IN CLOUD ENVIRONMENT
    5.1 Mathematical Formulation of Job Allocation Problem on Various VMs
    5.2 Proposed Virtual Machine Load Balancing Algorithm
    5.3 Experimental Setup and Results
    5.4 Summary
CHAPTER 6. CONCLUSION AND FUTURE WORK
    6.1 Conclusion
    6.2 Future Work
REFERENCES
Extended Abstract
中文擴展摘要
Research Achievements during the Period of Study
    Publication
    Research Projects during Master's Degree Program



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