本文選題：商空間理論 + 網(wǎng)絡(luò)服務(wù)器��； 參考：《安徽師范大學(xué)》2017年碩士論文

【摘要】：當(dāng)今網(wǎng)絡(luò)通信技術(shù)的飛速發(fā)展不僅帶來了社會(huì)的進(jìn)步,更極大地豐富了人們的日常生活,然而不斷擴(kuò)增的網(wǎng)絡(luò)用戶及日趨龐大的網(wǎng)絡(luò)規(guī)模,給傳統(tǒng)網(wǎng)絡(luò)服務(wù)器帶來了嚴(yán)峻的挑戰(zhàn),譬如網(wǎng)絡(luò)信息擁塞以及網(wǎng)絡(luò)服務(wù)超載等問題成為影響網(wǎng)絡(luò)服務(wù)器性能的重要因素。為了有效解決上述問題,提升網(wǎng)絡(luò)服務(wù)器性能,本文提出了一種商空間下的網(wǎng)絡(luò)服務(wù)器跨層優(yōu)化設(shè)計(jì),分別從結(jié)構(gòu)以及算法兩個(gè)方面著重對(duì)網(wǎng)絡(luò)服務(wù)器進(jìn)行設(shè)計(jì)優(yōu)化,研究工作主要從以下幾個(gè)方面進(jìn)行:首先,闡述了網(wǎng)絡(luò)服務(wù)器性能研究的發(fā)展背景、重要意義以及國內(nèi)外研究現(xiàn)狀,并指出當(dāng)前網(wǎng)絡(luò)服務(wù)器性能優(yōu)化存在的兩大問題,即網(wǎng)絡(luò)結(jié)構(gòu)適應(yīng)性不強(qiáng)和調(diào)度算法亟待優(yōu)化,以此作為本論文研究的出發(fā)點(diǎn)。其次,對(duì)本文中涉及的商空間理論和跨層技術(shù)著重進(jìn)行了研究,對(duì)其特性優(yōu)點(diǎn)、常用理論和實(shí)現(xiàn)方法進(jìn)行歸納總結(jié),并針對(duì)網(wǎng)絡(luò)服務(wù)器存在的性能問題,從架構(gòu)和算法優(yōu)化兩個(gè)方面出發(fā),給出了基于商空間理論的服務(wù)器跨層設(shè)計(jì)和路由路徑規(guī)劃算法,并以O(shè)PNET Modeler作為網(wǎng)絡(luò)仿真平臺(tái),對(duì)本文所設(shè)計(jì)的服務(wù)器優(yōu)化模型進(jìn)行仿真建模,并針對(duì)網(wǎng)絡(luò)服務(wù)器跨層優(yōu)化模型設(shè)計(jì)了從服務(wù)器到用戶的端對(duì)端通信網(wǎng)絡(luò),通過配置網(wǎng)絡(luò)業(yè)務(wù)、控制網(wǎng)絡(luò)參數(shù)等手段模擬服務(wù)器高負(fù)載環(huán)境,驗(yàn)證了商空間下的網(wǎng)絡(luò)服務(wù)器跨層優(yōu)化技術(shù)及其可行性。最后,本文對(duì)實(shí)驗(yàn)數(shù)據(jù)進(jìn)行分析總結(jié)。實(shí)驗(yàn)結(jié)果表明,商空間下的網(wǎng)絡(luò)服務(wù)器跨層優(yōu)化模型較傳統(tǒng)網(wǎng)絡(luò)服務(wù)器模型在性能上獲得了顯著提升,不僅傳輸延時(shí)方面降低了10%—15%,而且控制擁塞能力也上升了10%,對(duì)于處理網(wǎng)絡(luò)服務(wù)器信息擁塞以及服務(wù)超載具有較好的指導(dǎo)和現(xiàn)實(shí)意義。
[Abstract]:The rapid development of network communication technology has not only brought about the progress of society, but also enriched people's daily life greatly. It brings severe challenges to traditional network servers, such as network information congestion and network service overload, which become important factors that affect the performance of network servers. In order to effectively solve the above problems and improve the performance of network server, this paper proposes a cross-layer optimization design of network server in quotient space, which focuses on the design optimization of network server from two aspects of structure and algorithm. The research work is mainly carried out from the following aspects: firstly, the background, significance and current research situation of network server performance research are expounded, and two major problems in network server performance optimization are pointed out. That is, the adaptability of network structure is not strong and the scheduling algorithm needs to be optimized, which is the starting point of this paper. Secondly, the quotient space theory and cross-layer technology involved in this paper are studied emphatically, and the characteristic advantages, common theories and implementation methods are summarized, and the performance problems of network server are analyzed. Based on the theory of quotient space, this paper presents a cross-layer server design and routing path planning algorithm from two aspects of architecture and algorithm optimization. Using OPNET Modeler as the network simulation platform, the server optimization model designed in this paper is simulated and modeled. An end-to-end communication network from the server to the user is designed for the cross-layer optimization model of the network server. The high-load environment of the server is simulated by configuring the network service and controlling the network parameters. The cross-layer optimization technology of network server in quotient space and its feasibility are verified. Finally, the experimental data are analyzed and summarized. The experimental results show that the performance of the cross-layer optimization model in quotient space is significantly improved than that of the traditional network server model. Not only the transmission delay is reduced by 10-15, but also the congestion control ability is increased by 10%, which has good guidance and practical significance for dealing with network server information congestion and service overload.
【學(xué)位授予單位】：安徽師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.05

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本文編號(hào)：1985200