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分組一致性哈希數(shù)據(jù)分割方法

發(fā)布時(shí)間:2018-06-22 02:49

  本文選題:分布式入侵檢測(cè) + 數(shù)據(jù)分割 ; 參考:《計(jì)算機(jī)工程與設(shè)計(jì)》2016年02期


【摘要】:針對(duì)分布式入侵檢測(cè)系統(tǒng)進(jìn)行數(shù)據(jù)分割時(shí)面臨的數(shù)據(jù)完整性和負(fù)載均衡問題,提出一種分組一致性哈希數(shù)據(jù)分割方法。采用TCP流重組技術(shù)保證數(shù)據(jù)的完整性;在對(duì)數(shù)據(jù)進(jìn)行分割時(shí),采用改進(jìn)的分組一致性哈希算法,將具有相近計(jì)算能力的結(jié)點(diǎn)分為一組,根據(jù)組的計(jì)算能力,將各組按比例交替映射到整個(gè)數(shù)據(jù)哈希值計(jì)算對(duì)應(yīng)的空間;在數(shù)據(jù)分配時(shí),對(duì)結(jié)點(diǎn)的負(fù)載進(jìn)行檢測(cè)和動(dòng)態(tài)調(diào)整。仿真測(cè)試結(jié)果表明,該方法具有較高的檢測(cè)率,算法所需虛擬結(jié)點(diǎn)數(shù)量減少,降低了內(nèi)存占用,提高了系統(tǒng)的負(fù)載均衡性。
[Abstract]:In order to solve the problem of data integrity and load balance in distributed intrusion detection system (DIDS), a packet consistent hash data segmentation method is proposed. TCP flow recombination technique is used to ensure the integrity of the data, and the improved packet consistency hash algorithm is used to divide the data into a group of nodes with similar computing power, according to the computing power of the group. Each group is mapped alternately to the whole data hash value to calculate the corresponding space, and the load of the node is detected and dynamically adjusted when the data is distributed. The simulation results show that the method has a high detection rate, reduces the number of virtual nodes needed by the algorithm, reduces the memory footprint and improves the load balance of the system.
【作者單位】: 桂林電子科技大學(xué)信息與通信學(xué)院;桂林電子科技大學(xué)廣西無線寬帶通信與信號(hào)處理重點(diǎn)實(shí)驗(yàn)室;
【基金】:廣西自然科學(xué)基金項(xiàng)目(2012GXNSFAA053224) 廣西無線寬帶通信與信號(hào)處理重點(diǎn)實(shí)驗(yàn)室開放基金項(xiàng)目(GXKL0614110)
【分類號(hào)】:TP393.08

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