本文選題：流媒體　切入點(diǎn)：集群　出處：《西安郵電大學(xué)》2017年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)及計(jì)算機(jī)技術(shù)的快速發(fā)展,如今4G網(wǎng)絡(luò)已經(jīng)普及,人們對流媒體業(yè)務(wù)的需求越來越高,單個流媒體服務(wù)器已不能滿足用戶的需求,進(jìn)而采用流媒體服務(wù)器集群來解決。負(fù)載均衡作為集群的一種核心技術(shù),能夠提高集群的系統(tǒng)性能,其效果通常取決于負(fù)載均衡算法的設(shè)計(jì)。傳統(tǒng)的動態(tài)反饋算法雖然能夠定期的獲取集群節(jié)點(diǎn)的負(fù)載狀況,但是當(dāng)周期內(nèi)某集群節(jié)點(diǎn)的負(fù)載變化較大時,就不能及時的反饋其真實(shí)的負(fù)載狀況,而且不能較好的處理突發(fā)的大量并發(fā)連接請求,有可能引發(fā)集群的負(fù)載傾斜現(xiàn)象。本文首先介紹了集群負(fù)載均衡技術(shù)的發(fā)展以及流媒體的相關(guān)協(xié)議。其次,深入的分析與研究了現(xiàn)有的靜態(tài)和動態(tài)負(fù)載均衡算法,明確各種調(diào)度算法的適用場景。然后,針對傳統(tǒng)動態(tài)反饋算法存在的問題做出如下改進(jìn):1、根據(jù)集群節(jié)點(diǎn)每秒鐘任務(wù)連接數(shù)的變化量動態(tài)的修改負(fù)載反饋周期,提升集群節(jié)點(diǎn)負(fù)載反饋的及時性。2、將集群節(jié)點(diǎn)按其負(fù)載狀況分為低負(fù)載、正常負(fù)載、高負(fù)載三類,類之間根據(jù)總的負(fù)載權(quán)值進(jìn)行任務(wù)分配,類中采用最小連接數(shù)算法分配任務(wù),解決處理大量并發(fā)任務(wù)請求時存在的負(fù)載傾斜問題。3、采用流媒體服務(wù)器的中繼/轉(zhuǎn)發(fā)功能實(shí)現(xiàn)過載節(jié)點(diǎn)的負(fù)載遷移,進(jìn)一步提升集群的負(fù)載均衡效果。最后,本文對優(yōu)化的負(fù)載均衡調(diào)度策略進(jìn)行編碼實(shí)現(xiàn),并搭建流媒體服務(wù)器集群,對優(yōu)化的調(diào)度策略進(jìn)行驗(yàn)證,并同傳統(tǒng)的動態(tài)反饋負(fù)載均衡算法和最小連接數(shù)算法進(jìn)行比較。實(shí)驗(yàn)結(jié)果表明,優(yōu)化的調(diào)度策略能夠更加及時的反饋集群節(jié)點(diǎn)的負(fù)載狀況,能有效的解決大量并發(fā)請求導(dǎo)致的集群負(fù)載傾斜問題,提升集群的負(fù)載均衡效果和集群的服務(wù)質(zhì)量。
[Abstract]:With the rapid development of Internet and computer technology, now 4G network has spread, people demand for streaming media service is more and more high, a single streaming media server has been unable to meet the needs of users, and then used to solve the streaming media server cluster load balancing. As a core technology of the cluster, can improve the performance of the system design of the cluster. The effect usually depends on the load balancing algorithm. The traditional dynamic feedback algorithm can obtain the cluster nodes load status regularly, but the load changes greatly when a cluster node cycle, can not be timely feedback on the real load conditions, but can not handle a large number of concurrent unexpected connection requests may lead the cluster load tilt phenomenon. This paper firstly introduces the related protocol development of load balancing technology and streaming media. Secondly, deeply The analysis and Research on the existing static and dynamic load balancing algorithm, clear application scenarios for each scheduling algorithm. Then, based on the traditional dynamic feedback algorithm problems make the following improvements: 1, according to the cluster node dynamic changes of the number of connections per second task modified load feedback cycle, enhance the cluster node load feedback timeliness.2 the cluster node, according to the load condition for low load, normal load, high load three class, between classes according to the total weight of load assignment, task allocation algorithm using the minimum number of connection class, to solve the processing of the existence of a large number of concurrent tasks at the request of the skew.3, the relay / streaming media server forward function to transfer the load overload node, to further enhance the effect of load balance cluster. Finally, the load balancing scheduling strategy to optimize the coding, and so on The construction of streaming media server cluster, the optimized scheduling strategy is verified and compared with the traditional dynamic feedback load balancing algorithm and the minimum number of connection algorithm. Experimental results show that the optimal scheduling strategy can feedback the cluster nodes load more timely, can effectively solve the large number of concurrent requests to the cluster load tilt problem to enhance the effect of load balance and cluster quality of service clusters.

【學(xué)位授予單位】：西安郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP393.05

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