發(fā)布時間：2018-04-26 12:21

  本文選題：云計算 + 數(shù)據中心網絡��； 參考：《浙江工商大學》2014年碩士論文

【摘要】：云計算技術在近幾年越來越成熟,越來越多的數(shù)據密集型信息中心部署了自己的云。為了滿足現(xiàn)在社會大眾對于計算能力、存儲空間以及相關計算服務的復雜多變的需求,云計算技術很好的提供了相應的解決方案,并從經濟學角度上詮釋了它固有的優(yōu)勢。利用云計算,企業(yè)、科研機構以及政府紛紛建立了自己的數(shù)據中心來滿足自身日益增多的業(yè)務及計算需求。云計算使用虛擬化技術,將物理服務器中的CPU資源、內存資源以及存儲資源虛擬化處理后,根據不同需求劃分給不同租戶。同時這些劃分的計算資源的使用都是嚴格隔離的,例如,劃分給每一個租戶的資源的所有計算資源保證全部都歸這個租戶使用,我們稱劃分出去的計算資源為虛擬機(VM)。 眾所周知,云計算中的網絡表現(xiàn)對于數(shù)據中心網絡中的虛擬機而言,是非常重要的。數(shù)據中心網絡中,提供數(shù)據密集型應用服務的虛擬機,就是非常占用帶寬的典型代表。例如多媒體在線服務、MapReduce類應用服務,在服務的過程都會產生大量的數(shù)據通信,導致在整個數(shù)據中心網絡中不管是核心層、匯聚層還是接入層,都需要大量的帶寬需求。 那么,對于云數(shù)據中心網絡的網絡管理就是非常中的工作,且毫無疑問的是,接入層物理服務器(或Hypervisor層)的帶寬分配策略是整個數(shù)據中心網絡資源分配的基礎解決方案,因為物理服務器(或Hypervisor)能夠直接的監(jiān)控以及管理其內部虛擬機的帶寬競爭。解決這個層面上的網絡帶寬分配問題,就能使得整個數(shù)據中心的整體網絡性能提升到相當可觀的地步。但令人遺憾的是,處于這個物理主機(或Hypervisor)層面上的數(shù)據中心網絡資源分配,并沒有引起人們的足夠重視。大部分數(shù)據中心網絡帶寬的分配政策都是針對于全局層面,可是具體的策略實施,卻都是需要在最終接入物理服務器的這個層面上開始執(zhí)行,而并不是將大量資金花在交換機硬件設備升級。當前,還沒有一個確實可行的數(shù)據中心網絡帶寬分配策略,能夠同時保證虛擬機帶寬動態(tài)分配、公平、延時最優(yōu)化的分配策略。因此,物理服務器(或Hypervisor)層面上網絡帶寬分配的研究是非常有必要的。 本文就針對于數(shù)據中心網絡接入層的網絡帶寬進行研究,在云計算環(huán)境下基于時間的數(shù)據中心網絡公平動態(tài)分配,利用租戶應用歷史流量吞吐率,公平調整數(shù)據中心網絡帶寬的分配政策,實現(xiàn)網絡資源的充分利用。主要貢獻如下： 1)我們通過具體實際問題闡述了云計算環(huán)境下數(shù)據中心網絡內的虛擬機帶寬沖突問題,引出對于帶寬資源公平分配的研究。 2)我們提出了一個與租戶花費相匹配,并且能夠實現(xiàn)高網絡利用率的公平分配的要求。并針對這個要求給出了一個基于時間的公平帶寬動態(tài)分配策略。 3)構建云計算平臺,針對本文公平分配帶寬的需要,對于虛擬網絡進行控制。通過與TCP/IP內部的擁塞控制策略以及靜態(tài)公平帶寬分配策略的對比實驗,驗證了,本文基于時間的動態(tài)帶寬分配策略在保證對租戶公平分享帶寬的同時,實現(xiàn)最小化延時。
[Abstract]:Cloud computing technology has become more and more mature in recent years , and more and more data - intensive information centers have deployed its own cloud . In order to meet the needs of today ' s social public for computing power , storage space and related computing services , cloud computing technology provides the corresponding solutions . Cloud computing , enterprises , scientific research institutions and governments have set up their own data centers to meet their growing business and computing needs . The use of cloud computing , enterprises , scientific research institutions and government has set up their own data centers to meet their growing business and computing needs . The use of these divided computing resources is strictly isolated , for example , all computing resources allocated to each tenant are guaranteed to be used by this tenant , and we call the divided computing resources as virtual machines ( VMs ) .

As is well known , the network performance in cloud computing is very important for virtual machines in the data center network . Virtual machines providing data - intensive application services , such as multimedia online services , MapReduce class application services , generate large amounts of data communication throughout the data center network , resulting in large bandwidth requirements across the entire data center network , whether core , aggregation or access layers .

So , the network management of the cloud data center network is very important , and there is no doubt that the bandwidth allocation strategy of the access layer physical server ( or hypervisor layer ) is the foundation solution for the whole data center network resource allocation , because the physical server ( or hypervisor ) can directly monitor and manage the bandwidth contention of the internal virtual machine .

In this paper , the network bandwidth of data center network access layer is studied . In the cloud computing environment , based on the time - based data center network fair dynamic allocation , the distribution policy of data center network bandwidth is adjusted fairly by using the application history traffic throughput rate of the tenant , and the utilization of network resources is realized .

1 ) We expound the virtual machine bandwidth conflict problem in the data center network in the cloud computing environment through specific practical problems , and lead out the research on the fair distribution of bandwidth resources .

2 ) We put forward a requirement to match the cost of the tenant , and can realize the fair distribution of the high network utilization rate . And a dynamic allocation strategy based on time is given for this requirement .

3 ) Constructing the cloud computing platform , aiming at the need of the fair distribution bandwidth in this paper , and controlling the virtual network . Through the comparison experiment with the congestion control strategy and the static fair bandwidth allocation strategy in TCP / IP , this paper proves that the dynamic bandwidth allocation strategy based on time guarantees the minimum delay time while ensuring the fair share bandwidth of the tenants .

【學位授予單位】：浙江工商大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP308

【參考文獻】

相關期刊論文 前1條

1 李丹;陳貴海;任豐原;蔣長林;徐明偉;;數(shù)據中心網絡的研究進展與趨勢[J];計算機學報;2014年02期

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本文編號：1806003