【摘要】：在中國(guó)農(nóng)業(yè)信息化的發(fā)展過(guò)程中,大量的農(nóng)業(yè)知識(shí)、數(shù)據(jù)、資源、技術(shù)和市場(chǎng)需求等信息無(wú)法在農(nóng)村地區(qū)廣泛迅速地傳播,基層農(nóng)業(yè)人員無(wú)法獲得有價(jià)值的相關(guān)信息,即存在“最后一公里”現(xiàn)象。針對(duì)這一問(wèn)題,本文提出了一種基于OpenStack的農(nóng)業(yè)信息服務(wù)云平臺(tái)架構(gòu)。該云平臺(tái)面向農(nóng)業(yè)科研機(jī)構(gòu)、農(nóng)業(yè)企事業(yè)單位及農(nóng)戶個(gè)人提供農(nóng)業(yè)信息發(fā)布、信息查詢和高性能的計(jì)算、存儲(chǔ)等軟硬件資源共享服務(wù)。本文的主要工作如下:首先,提出了基于Openstack的農(nóng)業(yè)信息服務(wù)云平臺(tái)架構(gòu)。在調(diào)研國(guó)內(nèi)外農(nóng)業(yè)信息化的研究現(xiàn)狀的基礎(chǔ)上,結(jié)合我國(guó)農(nóng)業(yè)信息化需求的特點(diǎn),提出了農(nóng)業(yè)信息服務(wù)云平臺(tái)的設(shè)計(jì)架構(gòu)。該平臺(tái)采用系統(tǒng)層次結(jié)構(gòu),分為基礎(chǔ)層、應(yīng)用服務(wù)層、管理層和接入層。層與層之間使用標(biāo)準(zhǔn)的接口設(shè)計(jì),實(shí)現(xiàn)單點(diǎn)登錄,統(tǒng)一管理。在已有的設(shè)施基礎(chǔ)上,部署Openstack,搭建綜合服務(wù)云平臺(tái),從而實(shí)現(xiàn)農(nóng)業(yè)相關(guān)資源的整合、農(nóng)業(yè)信息的發(fā)布和檢索、農(nóng)業(yè)生產(chǎn)管理和交互服務(wù)。然后,對(duì)于農(nóng)業(yè)信息服務(wù)云平臺(tái)的資源調(diào)度策略進(jìn)行改進(jìn)。針對(duì)農(nóng)業(yè)信息服務(wù)的復(fù)雜性、多樣性、實(shí)時(shí)性的特征,對(duì)OpenStack的原有調(diào)度策略進(jìn)行改進(jìn),提出了一種基于虛擬機(jī)遷移的動(dòng)態(tài)資源調(diào)度策略,使農(nóng)業(yè)信息服務(wù)云平臺(tái)能更好地適應(yīng)農(nóng)業(yè)信息負(fù)載的動(dòng)態(tài)變化。最后,對(duì)于改進(jìn)的調(diào)度算法性能進(jìn)行實(shí)驗(yàn)仿真驗(yàn)證。利用Cloudsim仿真軟件,對(duì)比改進(jìn)后的調(diào)度算法與常用的調(diào)度算法。實(shí)驗(yàn)結(jié)果表明,改進(jìn)的調(diào)度算法能較好地保證負(fù)載均衡,同時(shí)節(jié)能效果良好,在不違反服務(wù)等級(jí)協(xié)議(SLA)的前提下,數(shù)據(jù)中心的整體能耗和響應(yīng)時(shí)間都明顯降低。
[Abstract]:In the course of the development of China's agricultural informatization, a large amount of agricultural knowledge, data, resources, technology and market demand can not be widely and rapidly disseminated in rural areas, and grass-roots agricultural personnel cannot obtain valuable relevant information. That is, the existence of the "last kilometer" phenomenon. To solve this problem, this paper proposes a cloud platform architecture of agricultural information service based on OpenStack. The cloud platform for agricultural research institutions, agricultural enterprises and institutions and individual farmers to provide agricultural information release, information query and high-performance computing, storage and other hardware and software resources sharing services. The main work of this paper is as follows: firstly, the architecture of agricultural information service cloud platform based on Openstack is proposed. On the basis of investigating the present situation of agricultural informatization at home and abroad and combining the characteristics of agricultural informatization demand in our country, the design framework of agricultural information service cloud platform is put forward. The platform adopts system hierarchy, which is divided into basic layer, application service layer, management layer and access layer. Layer and layer between the use of standard interface design, single sign-on, unified management. On the basis of the existing facilities, Openstackand build an integrated service cloud platform to realize the integration of agri-related resources, the release and retrieval of agricultural information, agricultural production management and interactive services. Then, the resource scheduling strategy of agricultural information service cloud platform is improved. In view of the complexity, diversity and real-time characteristics of agricultural information service, the original scheduling strategy of OpenStack is improved, and a dynamic resource scheduling strategy based on virtual machine migration is proposed. The cloud platform of agricultural information service can better adapt to the dynamic change of agricultural information load. Finally, the performance of the improved scheduling algorithm is verified by simulation. By using Cloudsim simulation software, the improved scheduling algorithm and the common scheduling algorithm are compared. The experimental results show that the improved scheduling algorithm can ensure load balance and save energy well. Without violating the service level protocol (SLA), the overall energy consumption and response time of the data center are obviously reduced.
【學(xué)位授予單位】：河南師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP311.52;S126

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本文編號(hào)：2149900