本文選題：車聯(lián)網 + 云計算��； 參考：《大連理工大學》2014年碩士論文

【摘要】：基于車聯(lián)網應用的云計算支撐平臺利用虛擬化技術將不同類型的物理服務器和虛擬機等異構資源整合成一個虛擬資源池,按需為不同的用戶提供不同類型的車聯(lián)網應用服務。車聯(lián)網大部分具體應用服務具有實時性強等特點,這些特點對車聯(lián)網云平臺提出了更高層次的要求。資源調度一直是云計算研究的重要課題之一,其調度問題的好壞直接影響到云平臺的穩(wěn)定性和服務的可靠性。因此,研究車聯(lián)網云平臺上的資源調度算法有著非常重要的理論和現(xiàn)實意義。 本文在車聯(lián)網應用背景下,對云計算的資源調度問題進行以下兩個方面的研究。 (1)車聯(lián)網應用具有多用戶、多業(yè)務、高并發(fā)等特點。為了保障車聯(lián)網應用在云平臺上快速、穩(wěn)定和可靠的運行,在云計算的基礎上,本文提出一種基于車聯(lián)網應用的MCT-LB-GSA (Minimum Completion Time-Load Balance-Greedy Scheduling Algorithm)任務調度算法。算法以虛擬機資源的當前負載作為約束條件,依照貪心策略將任務調度到當前負載較輕且具有最小任務完成時間上的虛擬機資源上。在C1oudSim環(huán)境下進行了實驗仿真,實驗結果證明：該算法在保證最優(yōu)任務調度跨度的同時也有效地實現(xiàn)了資源負載均衡,提高了資源利用率。 (2)車聯(lián)網應用的特點與云計算數(shù)據(jù)中心物理主機配置的不一致通常會引起負載不均衡。針對該問題,本文提出一種基于車聯(lián)網的CDM-CU (Combining the distance matching and comprehensive utilization)虛擬機部署算法。本算法并不單純追求虛擬機和物理服務器性能向量的最優(yōu)距離,也不單純追求數(shù)據(jù)中心的最小負載,而是通過調和因子將二者靈活融合在一起,為用戶提交的業(yè)務選擇合適的物理主機來部署相應的虛擬機集。在CloudS im環(huán)境下進行了實驗仿真,實驗結果證明：該算法能在滿足個性化業(yè)務的基礎上取得很好的負載均衡。
[Abstract]:The cloud computing support platform based on vehicle networking applications integrates different types of heterogeneous resources such as physical servers and virtual machines into a virtual resource pool using virtualization technology and provides different types of vehicle networking application services to different users as needed. Most of the specific application services of vehicle networking have the characteristics of strong real-time, these characteristics put forward a higher level of requirements for the cloud platform of vehicle networking. Resource scheduling is one of the most important research topics in cloud computing. The quality of resource scheduling directly affects the stability of cloud platform and the reliability of service. Therefore, it is of great theoretical and practical significance to study the resource scheduling algorithm on the vehicle network cloud platform. In this paper, the following two aspects of resource scheduling of cloud computing are studied in the context of vehicle networking application. (1) vehicle networking applications have the characteristics of multi-user, multi-service, high concurrency and so on. In order to ensure the fast, stable and reliable operation of the vehicle networking application on the cloud platform, this paper presents a task scheduling algorithm based on cloud computing for MCT-LB-GSA / Minimum completion Time-Balance-Greedy scheduling algorithm. The algorithm takes the current load of the virtual machine resource as the constraint and schedules the task to the virtual machine resource with the lighter load and the minimum task completion time according to the greedy strategy. The simulation results under C1oudSim environment show that the proposed algorithm not only ensures the optimal task scheduling span but also realizes resource load balancing effectively. The characteristics of the vehicle network application are not consistent with the physical host configuration of the cloud computing data center, which usually lead to load imbalance. To solve this problem, a CDM-CU Combining the distance matching and comprehensive utilization) virtual machine deployment algorithm based on vehicle networking is proposed in this paper. This algorithm does not simply pursue the optimal distance between the virtual machine and the physical server performance vector, nor the minimum load of the data center, but combines the two factors flexibly through the reconciliation factor. Select the appropriate physical host for the business submitted by the user to deploy the corresponding virtual machine set. Experimental results under CloudSim environment show that the proposed algorithm can achieve good load balancing on the basis of satisfying personalized services.
【學位授予單位】：大連理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.09;TP391.44;TN929.5

【參考文獻】

相關期刊論文 前10條

1 孫大為;常桂然;李鳳云;王川;王興偉;;一種基于免疫克隆的偏好多維QoS云資源調度優(yōu)化算法[J];電子學報;2011年08期

2 汪國安;楊煥;;基于負載均衡的云計算任務調度算法的研究[J];福建電腦;2012年12期

3 譚亞麗;于炯;鄧定蘭;呂良干;田國忠;;基于多維QoS約束的網格任務調度算法[J];計算機工程;2010年12期

4 溫少君;陳俊杰;郭濤;;一種云平臺中優(yōu)化的虛擬機部署機制[J];計算機工程;2012年11期

5 李建鋒;彭艦;;云計算環(huán)境下基于改進遺傳算法的任務調度算法[J];計算機應用;2011年01期

6 楊星;馬自堂;孫磊;;云環(huán)境下基于性能向量的虛擬機部署算法[J];計算機應用;2012年01期

7 羅紅,慕德俊,鄧智群,王曉東;網格計算中任務調度研究綜述[J];計算機應用研究;2005年05期

8 鄧定蘭;于炯;劉俊祥;汪明軍;;基于貪心策略的網格工作流費用優(yōu)化算法[J];計算機應用研究;2010年05期

9 朱健琛;徐潔;魯珂;;一種類歐氏距離-負載平衡的云任務調度算法[J];計算機仿真;2012年06期

10 駱劍平;李霞;陳泯融;;云計算環(huán)境中基于混合蛙跳算法的資源調度[J];計算機工程與應用;2012年29期

，

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