本文關(guān)鍵詞：數(shù)據(jù)中心計算資源節(jié)能算法研究　出處：《電子科技大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 數(shù)據(jù)中心 節(jié)能算法 虛擬機遷移 遷移能耗

【摘要】：目前，數(shù)據(jù)中心普遍存在高耗能、資源浪費嚴(yán)重等問題。如何高效整合計算資源和降低能耗成本是數(shù)據(jù)中心研究的熱點。由于虛擬化技術(shù)能夠?qū)崿F(xiàn)對資源的高效利用和簡單管理，所以數(shù)據(jù)中心廣泛采用基于虛擬機遷移的節(jié)能算法對資源進行分配和調(diào)度，實現(xiàn)服務(wù)器上的資源負(fù)載均衡和降低數(shù)據(jù)中心能耗的目的。然而，現(xiàn)有針對數(shù)據(jù)中心節(jié)能的算法大多沒有考慮服務(wù)器之間虛擬機遷移的能耗開銷，過度的依賴虛擬機遷移可以實現(xiàn)資源的平均分配，但有可能達(dá)不到降低系統(tǒng)能耗的目的。 因此，，研究虛擬機遷移過程中的能耗開銷和設(shè)計合理的節(jié)能調(diào)度算法對于數(shù)據(jù)中心能耗管理具有十分重要的意義。具體來講，本文研究的主要內(nèi)容和創(chuàng)新包括以下幾點： 1.建立數(shù)據(jù)中心服務(wù)器能耗模型。本文對影響數(shù)據(jù)中心服務(wù)器能耗的各項因素（CPU利用率，內(nèi)存利用率，磁盤讀寫情況等）進行逐一分析，并結(jié)合實驗數(shù)據(jù)，建立服務(wù)器能耗模型； 2.建立虛擬機遷移能耗模型。本文對虛擬機遷移過程中的遷移性能、虛擬機性能損耗以及虛擬機遷移對服務(wù)器能耗的影響三個方面進行研究，建立虛擬機遷移能耗模型。 3.節(jié)能算法設(shè)計。本文在建立服務(wù)器能耗模型和虛擬機遷移能耗模型的基礎(chǔ)上，設(shè)計了離線負(fù)載跨度最大節(jié)能算法和在線遷移節(jié)能算法。前者主要通過考慮負(fù)載的區(qū)間跨度，實現(xiàn)對虛擬機資源的合理分配；后者主要通過虛擬機遷移，以較少數(shù)量的服務(wù)器滿足請求分配，達(dá)到降低數(shù)據(jù)中心總能耗的目的。 4.虛擬機遷移能耗實驗驗證。通過對虛擬機遷移過程中服務(wù)器能耗數(shù)據(jù)的采集和分析，驗證了虛擬機遷移過程中存在能耗開銷。實驗結(jié)果顯示，CPU利用率、VM內(nèi)存大小和網(wǎng)絡(luò)帶寬對虛擬機遷移過程中的服務(wù)器能耗存在較大影響。 5.節(jié)能算法對比。通過與負(fù)載均衡節(jié)能算法、在線DRR節(jié)能算法、在線EAM節(jié)能算法和MBFD節(jié)能算法進行對比，實驗結(jié)果表明，本文設(shè)計的離線負(fù)載跨度最大節(jié)能算法和在線遷移節(jié)能算法分別在數(shù)據(jù)中心總能耗、服務(wù)器開啟總時間、服務(wù)器開啟總數(shù)量和請求的拒絕次數(shù)等方面具有明顯的優(yōu)勢。
[Abstract]:At present, high energy consumption is prevalent in data centers. How to efficiently integrate computing resources and reduce the cost of energy consumption is the focus of data center research. Because virtualization technology can achieve efficient use of resources and simple management. Therefore, energy saving algorithm based on virtual machine migration is widely used in data center to allocate and schedule resources to achieve resource load balance and reduce data center energy consumption on the server. Most of the existing algorithms for energy saving in data centers do not take into account the energy cost of virtual machine migration between servers. Excessive reliance on virtual machine migration can achieve equal allocation of resources. But it may not achieve the goal of reducing system energy consumption. Therefore, it is very important for data center energy management to study the energy consumption cost in the virtual machine migration process and to design a reasonable energy saving scheduling algorithm. The main contents and innovations of this paper include the following: 1. Establish the data center server energy consumption model. This paper analyzes the factors that affect the data center server energy consumption, such as CPU utilization, memory utilization, disk reading and writing. Based on the experimental data, the energy consumption model of the server is established. 2. Build the model of virtual machine migration energy consumption. This paper studies the migration performance, virtual machine performance loss and the impact of virtual machine migration on server energy consumption. Build the model of virtual machine migration energy consumption. 3. Energy-saving algorithm design. This paper establishes the model of server energy consumption and virtual machine migration energy consumption model. The maximum energy saving algorithm of off-line load span and the energy saving algorithm of online migration are designed. The former realizes the rational allocation of virtual machine resources by considering the interval span of load. The latter mainly migrates through virtual machines to satisfy the request allocation with fewer servers to reduce the total energy consumption of the data center. 4. Virtual machine migration energy consumption experimental verification. Through the collection and analysis of server energy consumption data during virtual machine migration process, verify the virtual machine migration process energy consumption overhead. The experimental results show. CPU utilization and VM memory size and network bandwidth have great influence on server energy consumption during virtual machine migration. 5.Compared with load balancing energy-saving algorithm, online DRR energy-saving algorithm, on-line EAM energy-saving algorithm and MBFD energy-saving algorithm, the experimental results show that. The maximum energy saving algorithm of off-line load span and the energy saving algorithm of online migration are designed in this paper, respectively in the data center total energy consumption, the total time to open the server. The total number of server openings and the number of requests rejected have obvious advantages.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP308

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