【摘要】：隨著網(wǎng)絡(luò)技術(shù)的不斷發(fā)展，越來越多的人通過網(wǎng)絡(luò)來了解信息，由于用戶群體的不斷增加及網(wǎng)絡(luò)應(yīng)用的豐富，使得服務(wù)器接收到的請(qǐng)求數(shù)越來越多，，有關(guān)于網(wǎng)絡(luò)負(fù)載的問題越發(fā)突出。集群技術(shù)的出現(xiàn)很好地解決了這一問題。本文主要貢獻(xiàn)及創(chuàng)新點(diǎn)包括： 1、提出了一種基于Agent的動(dòng)態(tài)自適應(yīng)集群負(fù)載均衡模型。通過把Agent技術(shù)引入集群負(fù)載均衡系統(tǒng)中，創(chuàng)新性的構(gòu)建了一個(gè)基于Agent的動(dòng)態(tài)自適應(yīng)集群負(fù)載均衡的普適模型。將Agent技術(shù)引入到傳統(tǒng)集群負(fù)載均衡模型中，增加了集群負(fù)載系統(tǒng)的智能性和自適應(yīng)能力； 2、創(chuàng)新性的把請(qǐng)求任務(wù)識(shí)別與分類思想融合到了基于Agent的集群動(dòng)態(tài)負(fù)載均衡模型中。通過引入請(qǐng)求任務(wù)識(shí)別與分類思想，結(jié)合Agent技術(shù)，實(shí)現(xiàn)了集群任務(wù)的自動(dòng)識(shí)別及分類處理，提高了集群系統(tǒng)的運(yùn)行效率； 3、針對(duì)本文提出的基于Agent的集群動(dòng)態(tài)負(fù)載均衡模型，對(duì)其具體功能設(shè)計(jì)了詳細(xì)的算法，并針對(duì)模型多個(gè)指標(biāo)做了性能分析。 4、提出并實(shí)現(xiàn)了一種適用于流媒體業(yè)務(wù)的基于Agent的動(dòng)態(tài)自適應(yīng)負(fù)載均衡集群。在詳細(xì)分析了流媒體業(yè)務(wù)存在的問題及特點(diǎn)的基礎(chǔ)上，根據(jù)這些問題及特點(diǎn)做了針對(duì)性的優(yōu)化，設(shè)計(jì)了針對(duì)于流媒體業(yè)務(wù)的集群模型并給出了具體實(shí)現(xiàn)。實(shí)驗(yàn)結(jié)果驗(yàn)證了本文模型的普適性和有效性。 5、提出并實(shí)現(xiàn)了一種針對(duì)移動(dòng)互聯(lián)網(wǎng)業(yè)務(wù)的基于Agent的動(dòng)態(tài)自適應(yīng)負(fù)載均衡集群。針對(duì)移動(dòng)互聯(lián)網(wǎng)特點(diǎn)及新的挑戰(zhàn)，設(shè)計(jì)了一種針對(duì)移動(dòng)互聯(lián)網(wǎng)的基于Agent的負(fù)載均衡集群，此集群結(jié)合本文提出的模型進(jìn)行設(shè)計(jì)，同時(shí)又兼顧了移動(dòng)互聯(lián)網(wǎng)的特點(diǎn)。進(jìn)一步驗(yàn)證了本文模型的普適性和有效性的同時(shí)。
[Abstract]:With the continuous development of network technology, more and more people understand information through the network. Due to the increasing number of users and the rich application of network, more and more requests are received by the server. There is a growing problem with network load. The emergence of cluster technology solves this problem well. The main contributions and innovations of this paper are as follows: 1. A dynamic adaptive cluster load balancing model based on Agent is proposed. By introducing Agent technology into cluster load balancing system, an innovative universal model of dynamic adaptive cluster load balancing based on Agent is constructed. The Agent technology is introduced into the traditional cluster load balancing model, which increases the intelligence and adaptive ability of the cluster load system. 2. The idea of request task identification and classification is innovatively integrated into the cluster dynamic load balancing model based on Agent. By introducing the idea of request task identification and classification and combining with Agent technology, the automatic recognition and classification of cluster tasks are realized, and the running efficiency of cluster system is improved. 3. Aiming at the cluster dynamic load balancing model based on Agent proposed in this paper, a detailed algorithm is designed for its specific function, and the performance analysis is made for several indexes of the model. 4. A dynamic adaptive load balancing cluster based on Agent for streaming media services is proposed and implemented. On the basis of analyzing the problems and characteristics of streaming media service in detail, the paper optimizes these problems and characteristics, designs the cluster model for streaming media service and gives the concrete implementation. The experimental results verify the universality and validity of the model. 5. A dynamic adaptive load balancing cluster based on Agent for mobile Internet services is proposed and implemented. Aiming at the characteristics and new challenges of mobile Internet, a load balancing cluster based on Agent for mobile Internet is designed. The cluster is designed in combination with the model proposed in this paper, and at the same time, the characteristics of mobile Internet are taken into account. Furthermore, the generality and validity of the model are verified at the same time.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP18;TP393.09

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