本文選題：異常入侵?jǐn)?shù)據(jù)干擾 + 網(wǎng)絡(luò)資源　； 參考：《計(jì)算機(jī)仿真》2017年03期

【摘要】：對(duì)異常入侵?jǐn)?shù)據(jù)干擾下對(duì)網(wǎng)絡(luò)資源進(jìn)行合理的調(diào)度,可提高網(wǎng)絡(luò)資源的可利用率。進(jìn)行資源調(diào)度時(shí),應(yīng)獲取異常入侵?jǐn)?shù)據(jù)干擾下網(wǎng)絡(luò)資源調(diào)度過(guò)程中資源的動(dòng)態(tài)優(yōu)先級(jí),根據(jù)優(yōu)先級(jí)的大小進(jìn)行資源調(diào)度,而傳統(tǒng)方法依據(jù)各個(gè)路徑上的傳送列表信息以及擁塞情況對(duì)網(wǎng)絡(luò)情況進(jìn)行預(yù)測(cè),依據(jù)網(wǎng)絡(luò)實(shí)際情況分派適應(yīng)的傳送任務(wù)量完成調(diào)度,忽略了不同資源的優(yōu)先級(jí)大小,容易出現(xiàn)緊急任務(wù)未被調(diào)度而非緊急任務(wù)提前被調(diào)度的情況,降低了資源效率的有效性。提出一種采用遺傳算法和蟻群算法的動(dòng)態(tài)融合的異常入侵?jǐn)?shù)據(jù)干擾下網(wǎng)絡(luò)資源調(diào)度優(yōu)化算法。該方法先根據(jù)網(wǎng)絡(luò)資源數(shù)據(jù)任務(wù)調(diào)度價(jià)值密度以及實(shí)行迫切性,構(gòu)造動(dòng)態(tài)優(yōu)先級(jí)。對(duì)于網(wǎng)絡(luò)資源數(shù)據(jù)在異常入侵?jǐn)?shù)據(jù)干擾下的時(shí)間序列上的調(diào)度過(guò)程進(jìn)行定義分析,給出了融合算法對(duì)網(wǎng)絡(luò)資源數(shù)據(jù)任務(wù)調(diào)度策略進(jìn)行優(yōu)化的最佳動(dòng)態(tài)融合過(guò)程,將上述方法應(yīng)用于異常入侵?jǐn)?shù)據(jù)干擾下的網(wǎng)絡(luò)資源數(shù)據(jù)任務(wù)調(diào)度中,仿真結(jié)果表明,改進(jìn)方法可以提高異常入侵?jǐn)?shù)據(jù)干擾下網(wǎng)絡(luò)資源調(diào)度的效率和準(zhǔn)確性。
[Abstract]:The reasonable scheduling of network resources under the interference of abnormal intrusion data can improve the availability of network resources. When scheduling resources, we should obtain the dynamic priority of resources in the process of resource scheduling under the interference of abnormal intrusion data, and schedule resources according to the size of priority. The traditional methods predict the network situation according to the transmission list information on each path and the congestion situation, assign the appropriate transfer tasks according to the actual situation of the network to complete the scheduling, and ignore the priority of different resources. It is easy to have the emergency task not scheduled but not the emergency task to be scheduled ahead of schedule, which reduces the efficiency of resources. In this paper, a dynamic fusion of genetic algorithm and ant colony algorithm is proposed to optimize network resource scheduling under the interference of abnormal intrusion data. The dynamic priority is constructed according to the value density and urgency of resource task scheduling. This paper defines and analyzes the scheduling process of network resource data on the time series under the interference of abnormal intrusion data, and presents the optimal dynamic fusion process in which the fusion algorithm optimizes the task scheduling strategy of network resource data. The simulation results show that the improved method can improve the efficiency and accuracy of network resource scheduling under abnormal intrusion data interference.
【作者單位】： 新疆大學(xué)科學(xué)技術(shù)學(xué)院;
【分類(lèi)號(hào)】：TP393.0;TP18

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本文編號(hào)：1996741