本文選題：服務(wù)器 + 沖突��； 參考：《現(xiàn)代電子技術(shù)》2017年18期

【摘要】：隨著服務(wù)器系統(tǒng)節(jié)點(diǎn)數(shù)量和用戶任務(wù)的不斷增多,使得風(fēng)暴節(jié)點(diǎn)出現(xiàn)沖突問題。在此背景下,通過分析服務(wù)器系統(tǒng)的節(jié)點(diǎn)連接架構(gòu),將檢測(cè)器部署在其通信平臺(tái)上,對(duì)用于檢測(cè)服務(wù)器多沖突風(fēng)暴節(jié)點(diǎn)的MooseFS檢測(cè)器進(jìn)行設(shè)計(jì)與實(shí)現(xiàn)。當(dāng)風(fēng)暴節(jié)點(diǎn)中存在較多沖突時(shí),MooseFS檢測(cè)器采用動(dòng)態(tài)冗余分布策略與硬件平臺(tái)協(xié)同檢測(cè),沖突不多時(shí)只使用硬件進(jìn)行檢測(cè)。動(dòng)態(tài)冗余分布策略選用冗余度度量節(jié)點(diǎn)任務(wù)開銷,給出風(fēng)暴節(jié)點(diǎn)子任務(wù)、帶寬和中央處理器運(yùn)行時(shí)間的可用度函數(shù),檢驗(yàn)冗余度是否可靠。硬件平臺(tái)通過邏輯門處理器對(duì)子任務(wù)、帶寬、中央處理器運(yùn)行時(shí)間以及存儲(chǔ)容量的負(fù)載率進(jìn)行度量。實(shí)驗(yàn)結(jié)果表明,所設(shè)計(jì)的MooseFS檢測(cè)器擁有很強(qiáng)的資源控制能力。
[Abstract]:With the increasing number of server nodes and user tasks, storm nodes conflict. Under this background, the MooseFS detector used to detect multi-conflict storm nodes is designed and implemented by analyzing the node connection architecture of the server system and deploying the detector on its communication platform. When there are more conflicts in the storm nodes, the dynamic redundancy distribution strategy and hardware platform are used to detect the dynamic redundancy distribution strategy, and only hardware is used to detect the conflicts. The dynamic redundancy distribution strategy uses redundancy to measure node task overhead. The availability functions of storm node subtask bandwidth and CPU running time are given to verify the reliability of redundancy. The hardware platform measures sub-tasks, bandwidth, CPU runtime and load rate of storage capacity through logic gate processors. Experimental results show that the designed MooseFS detector has a strong resource control ability.
【作者單位】： 北京信息職業(yè)技術(shù)學(xué)院計(jì)算機(jī)與通信工程學(xué)院;中國人民公安大學(xué);
【基金】：國家自然科學(xué)基金(71203229) 北京市教委科技計(jì)劃面上科研項(xiàng)目(KM201310857001)
【分類號(hào)】：TP368.5
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本文編號(hào)：1781132