本文選題：資源管理　切入點：協同監(jiān)控　出處：《南京郵電大學》2017年碩士論文

【摘要】：隨著云計算不斷發(fā)展,數據中心承載的交換機和服務器等硬件設備越來越多,海量的資源帶來了巨大的管理壓力,威脅著云平臺的健康、穩(wěn)定運行。在云資源管理中一直存在著兩個問題,一方面為了協調任務的部署,提高系統的執(zhí)行效率和穩(wěn)定性,云系統需要高效的節(jié)點資源監(jiān)控機制。然而傳統的集中式監(jiān)控架構容易導致單點失效和性能瓶頸等問題,不能適應大規(guī)模的云環(huán)境。另一方面,復雜且繁重的業(yè)務為云數據中心帶來了沉重的網絡負載,同時網絡負載不均衡導致了資源利用率低、時延長、靈活性與可靠性差、吞吐率不理想等問題,傳統的網絡架構或簡單增加新的網絡資源等方式不能有效解決問題,因此為有效提高云數據中心網絡資源利用率和服務質量,降低運營成本,特別是解決網絡部分擁塞、部分利用率低以及可靠性等問題,亟需構建一套適應于云系統的網絡管理機制。針對這兩個問題,本文從節(jié)點資源監(jiān)控角度提出了一種新型的分布式協同監(jiān)控機制,包括一種分布式協同監(jiān)控模型和一種自適應監(jiān)控閾值控制算法,從網絡資源管理角度提出了基于SDN(Software Defined Network)的多路徑流量調度機制。具體的研究工作如下:(1)提出了一種面向云計算系統的分布式協同監(jiān)控模型(Distributed Collaborative Monitoring Model,DCMM),以數據節(jié)點相互感知、彼此監(jiān)控的方式,實現正常狀態(tài)下數據節(jié)點的自我管理,異常狀態(tài)下向主節(jié)點的及時信息推送,從而均衡監(jiān)控負載,避免單點失效和性能瓶頸。(2)提出了一種自適應閾值控制算法(Adaptive Threshold Control Algorithm,ATCA),基于歷史監(jiān)控數據,動態(tài)地調整閾值以識別沒必要推送至監(jiān)控節(jié)點的重復監(jiān)控數據,進而減少監(jiān)控數據傳輸,減輕監(jiān)控系統對整個系統的影響。(3)提出了一種面向云系統網絡的基于SDN架構的多路徑流量調度機制(Multi-path Traffic Scheduling mechanism based on SDN,MTSS),利用網絡負載均衡算法為新加入的數據流選擇負載最輕的路徑,并周期性監(jiān)控網絡各鏈路帶寬利用情況,自適應地根據鏈路負載情況,充分利用網絡中空閑鏈路,制定合適的路由轉發(fā)路徑,調度負載較重鏈路上的流量,實現靈活的可編程式數據轉發(fā)以均衡網絡負載。MTSS能夠有效提高了網絡的負載均衡性、資源利用率,從而有效降低網絡丟包率、時延,提高網絡的可靠性和吞吐率。(4)在協同監(jiān)控和流量調度機制的基礎上,設計并構建了云資源管理系統,詳細闡述了系統的架構,并分別根據系統界面介紹了各功能和具體效果。
[Abstract]:With the continuous development of cloud computing, more and more hardware devices such as switches and servers are loaded in the data center. Massive resources bring huge management pressure, threatening the health of cloud platform and running stably.There are two problems in cloud resource management. On the one hand, in order to coordinate the deployment of tasks and improve the efficiency and stability of the system, the cloud system needs an efficient monitoring mechanism of node resources.However, the traditional centralized monitoring architecture can easily lead to single point failure and performance bottlenecks, and can not adapt to large-scale cloud environment.On the other hand, the complex and heavy business brings heavy network load to the cloud data center. At the same time, the network load imbalance results in low resource utilization, prolonged time, poor flexibility and reliability, poor throughput and so on.Traditional network architecture or simply adding new network resources can not effectively solve the problem. Therefore, in order to effectively improve the utilization of network resources and the quality of service of cloud data center, reduce the operation cost, especially solve the network congestion.Due to some problems such as low utilization and reliability, it is urgent to construct a network management mechanism suitable for cloud systems.Aiming at these two problems, this paper proposes a new distributed cooperative monitoring mechanism from the point of view of node resource monitoring, including a distributed cooperative monitoring model and an adaptive threshold control algorithm.A multi-channel runoff scheduling mechanism based on SDN(Software Defined Network is proposed from the point of view of network resource management.The specific research work is as follows: (1) A distributed Collaborative Monitoring Model DCMMN (distributed Collaborative Monitoring Model) for cloud computing system is proposed to realize the self-management of data nodes under normal condition by mutual perception and mutual monitoring of data nodes.In order to balance the monitoring load and avoid single point failure and performance bottleneck, this paper presents an adaptive Threshold Control algorithm based on historical monitoring data.Dynamically adjust the threshold to identify repetitive monitoring data that is not necessarily pushed to the monitoring node, thereby reducing the transmission of monitoring data,In this paper, we propose a multi-path Traffic Scheduling mechanism based on SDN MTSS scheduling mechanism based on SDN architecture for cloud system network, and use the network load balancing algorithm to select the new data stream. (3) to reduce the impact of monitoring system on the whole system, we propose a multi-path Traffic Scheduling mechanism based on SDN MTSS scheduling mechanism based on SDN architecture for cloud system network.The lightest load path,And periodically monitor the use of each link bandwidth, adaptively according to the link load, make full use of the free link in the network, make appropriate routing and forwarding path, and schedule the traffic on the heavy load link.The realization of flexible programmable data forwarding to balance network load. MTSS can effectively improve the load balance and resource utilization of the network, thus effectively reduce the packet loss rate and delay.On the basis of cooperative monitoring and traffic scheduling mechanism, the cloud resource management system is designed and constructed. The architecture of the system is described in detail, and each function and concrete effect are introduced according to the system interface.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP393.07

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