【摘要】：保證用戶的服務(wù)等級(jí)協(xié)議(SLA)與能源的高效利用是目前云計(jì)算極為關(guān)注的兩大重點(diǎn)問(wèn)題。虛擬化技術(shù)是云計(jì)算資源管理中的關(guān)鍵技術(shù),其中,虛擬機(jī)遷移技術(shù)和策略都是極為引人關(guān)注的問(wèn)題,本文將虛擬機(jī)遷移策略的優(yōu)化作為研究的首要目標(biāo)。 針對(duì)如何有效降低大規(guī)模云數(shù)據(jù)中心的能量消耗并在一定程度上保證用戶的服務(wù)等級(jí)協(xié)議(SLA)的問(wèn)題,本文提出一種基于虛擬機(jī)遷移的優(yōu)化算法LBES (Load Balancing and Energy Saving)。該算法綜合考慮多種資源負(fù)載情況以及群聚沖突等問(wèn)題,針對(duì)虛擬機(jī)遷移時(shí)機(jī)的確定,提出了基于預(yù)測(cè)模型的觸發(fā)策略；針對(duì)待遷移物理機(jī)中存在的虛擬機(jī)群選擇哪部分虛擬機(jī)進(jìn)行遷移,提出了多資源約束的選擇策略；并使用基于概率模型的定位策略解決了目標(biāo)節(jié)點(diǎn)的選取問(wèn)題。并在云模擬器中模擬的虛擬云數(shù)據(jù)中心對(duì)LEBS算法進(jìn)行實(shí)現(xiàn)與分析。 實(shí)驗(yàn)結(jié)果表明,在相同的閾值設(shè)置條件下,LEBS算法比其它算法在保證用戶的服務(wù)等級(jí)和節(jié)約能耗方面的性能更優(yōu)。
[Abstract]:To ensure the service level agreement (SLA) and the efficient use of energy are two important issues in cloud computing. Virtualization technology is the key technology in cloud computing resource management, among which, virtual machine migration technology and strategy are very interesting issues, this paper takes the optimization of virtual machine migration strategy as the primary goal of the research. Aiming at how to reduce the energy consumption of large scale cloud data center and ensure the service level protocol (SLA) of users to a certain extent, this paper proposes an optimization algorithm LBES (Load Balancing and Energy Saving). Based on virtual machine migration. The algorithm considers various resource loads and cluster conflicts, and proposes a trigger strategy based on prediction model to determine the migration opportunity of virtual machine. According to which part of virtual machines are selected for migration in physical machines to be migrated, a multi-resource constrained selection strategy is proposed, and the problem of selecting target nodes is solved by using the location strategy based on probability model. The LEBS algorithm is implemented and analyzed in the virtual cloud data center simulated in the cloud simulator. The experimental results show that the performance of LEBS algorithm is better than that of other algorithms in ensuring the service level of users and saving energy consumption under the same threshold setting condition.
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TP302

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