嵌入式微云MCC中基于回归的任务卸载与最优资源分配

发布时间：2024-03-09 06:22

　　智能设备是当前最流行的设备,由于其计算功能,过去十年中用户数量也在增加。尽管他们克服由于其小电池尺寸的阻碍而产生的电源供电不足,以及仅存储少量能量,移动设备仍然无法满足许多终端用户的计算先决条件。从智能设备到云端的任务卸载是处理该问题的一个适当的程序,特别是远程系统的快速发展和无处不在可用资产微云计算。由于任务卸载处于发展初期,因此需要进行很大程度上的评估和改进。第3章介绍了一个卸载结构以便任务卸载可以为智能设备预留能源。果蝇优化的任务调度(FOTO)被提出用于通过果蝇优化算法优化云中的任务卸载。我们对CMSACO(基于蚁群优化算法的协作式多任务调度)和基于启发式队列的算法(GA-ACO)在能耗、运行时间和成本方面进行了性能评估比较。首先,基于服务时间和常规线性回归做出卸载决策。卸载过程用来评估用户传入任务的资源浪费和任务优先级。基于用户优先级形成的队列用来微云计算中的任务卸载。我们的评估研究表明,能源不能总是由卸载过程保留和存储;而且传输过程中的能量大于计算过程的能量从而无法节省能量。因此,为了使卸载过程有利,卸载决策的需求限制是至关重要的。其次,对于智能设备和各自应用的能源利用率,...

【文章页数】：69 页

【学位级别】：硕士

【文章目录】：
摘要
Abstract
1. Introduction
    1.1 Research Background
    1.2 Research Challenges
        1.2.1 Challenges in Off-loading
        1.2.2 Data Security Challenges
        1.2.3 Mobile Device Security Challenges
        1.2.4 Privacy Challenges
    1.3 Research Methods
        1.3.1 Task Off-loading in MCC
        1.3.2 Resource Allocation
        1.3.3 Fruit Fly Algorithm
        1.3.4 Cloudlet
    1.4 Research Significance
    1.5 Research Objectives
    1.6 Thesis Representation
2. Background and Related Work
3. FOTO based Efficient Task Off-loading and Resource Allocation in MCC
    3.1 Introduction
    3.2 System Model and Problem Statement
        3.2.1 Graph Model of Task
        3.2.2 Problem Formulation
        3.2.3 Proposed Methodology for Task Off-loading
    3.3 Request Reformulation using Linear Regression Algorithm
    3.4 Job Type Classification
    3.5 Task Off-loading
    3.6 Mathematical Model
    3.7 Fruit Fly Algorithm based Optimization
    3.8 Experimental Results and Summary
        3.8.1 Simulation Step
        3.8.2 Experimental Results
    3.9 Summary
4. Security-Aware PSO based Task Off-loading in MCC
    4.1 Introduction
    4.2 Security Parameters
        4.2.1 Confidentiality in Off-loading
        4.2.2 Integrity in Off-loading
        4.2.3 Authentication in Off-loading
    4.3 Proposed Secured Task Off-loading Model
    4.4 Problem Formulation
    4.5 Proposed Methodology
    4.6 PSO parameters
    4.7 Experimental Setup and Evaluation
    4.8 Summary
5. Conclusion and Future Work
    5.1 Conclusion
    5.2 future Work
References
Research Projects and Publications in Master Study
Acknowledgement



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