本文關(guān)鍵詞： 內(nèi)存云 協(xié)調(diào)器 單點(diǎn)失效 適應(yīng)度函數(shù) 選舉策略　出處：《計算機(jī)應(yīng)用》2016年09期 　論文類型：期刊論文

【摘要】：針對Zoo Keeper機(jī)制難以滿足內(nèi)存云(RAMCloud)低延遲、快恢復(fù)的問題,提出了一種面向內(nèi)存云的協(xié)調(diào)器選舉策略(CES)。首先根據(jù)內(nèi)存云網(wǎng)絡(luò)環(huán)境與協(xié)調(diào)器自身因素將協(xié)調(diào)器性能指標(biāo)分為個體指標(biāo)與協(xié)調(diào)器間指標(biāo)兩類并分別建立模型;然后將內(nèi)存云的運(yùn)行分為正常運(yùn)行期與數(shù)據(jù)恢復(fù)期兩階段并分別建立適應(yīng)度函數(shù),再按時間比合并為總適應(yīng)度函數(shù);最后在備選協(xié)調(diào)器(RBC)的適應(yīng)度值的基礎(chǔ)上提出一個具備穩(wěn)定擇優(yōu)性與隨機(jī)性的新算子,CES首先通過篩選來排除性能較差的個體,縮小選擇范圍后再在理想?yún)f(xié)調(diào)器的集合中采用輪盤賭方法選擇最終的個體。實(shí)驗(yàn)結(jié)果表明,在NS2仿真環(huán)境下CES選擇的個體相比其他備選協(xié)調(diào)器數(shù)據(jù)處理延遲降低了19.35%;在搭建的內(nèi)存云環(huán)境中,與Zoo Keeper機(jī)制相比,CES的選擇結(jié)果在快速恢復(fù)中時間減少了10.02%。在內(nèi)存云的實(shí)際應(yīng)用中,CES在處理單點(diǎn)失效問題上能有效選擇性能更優(yōu)的協(xié)調(diào)器,確保了低延遲、快恢復(fù)的要求。
[Abstract]:According to the Zoo Keeper mechanism to meet the cloud memory (RAMCloud) low latency, fast recovery problem, proposes a memory oriented cloud coordinator election strategy (CES). According to the cloud memory network environment and the coordinator will own factor coordinator performance index is divided into individual index and coordination between indexes of two types respectively. The establishment of model; and then the memory of cloud operation recovery period the two stage is the normal operation period and the data were established according to the fitness function, time is combined for a total fitness function; finally, in the alternative Coordinator (RBC) of the base to adapt the value to put forward a new operator with optimality and stochastic stability the first CES by screening to exclude the poor performance of the individual, reduce the selection range and then set in the ideal coordinator in the final choice of individual roulette method. The experimental results show that CES in NS2 simulation environment Choose the individual compared to other alternative coordinator data processing delay is reduced by 19.35%; in memory cloud built environment, compared with the Zoo Keeper mechanism, the choice of CES results in a decrease in 10.02%. in the practical application of memory in the cloud in the fast recovery time of CES in the treatment of single point failure problem can effectively select performance coordinator better, to ensure low latency, fast recovery requirements.

【作者單位】： 新疆大學(xué)軟件學(xué)院;新疆大學(xué)信息科學(xué)與工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項目(61262088,61363083,61462079,61562086)~~
【分類號】：TP333

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