CAJ | 학술논문

针对传统方法应用于大型校园数字图书馆中数据查询服务时的不足，提出了一种基于云计算的数据查询方法。算法首先运用云计算技术找到数据库中的查询请求的目标节点，然后通过把单个基因位的理论引入到传统的遗传云计算算法中，定义服务节点的相似节点集和等价节点集来进行二次搜索，将各个基因位取得的优秀个体重新组合成一个新的个体，利用遗传过程中出现过的任何优秀的基因，而不仅仅是针对优秀个体，即便是一个适应度很差的个体，也可能有某段基因的适应度在同位置的基因中有着优秀的适应度，保证数据库查询最优解的准确。实验结果表明，算法在查询的数据质量、服务节点的负载能力以及查询的效率方法要优于传统的方法。
침대전통방법응용우대형교완수자도서관중수거사순복무시적불족，제출료일충기우운계산적수거사순방법。산법수선운용운계산기술조도수거고중적사순청구적목표절점，연후통과파단개기인위적이론인입도전통적유전운계산산법중，정의복무절점적상사절점집화등개절점집래진행이차수색，장각개기인위취득적우수개체중신조합성일개신적개체，이용유전과정중출현과적임하우수적기인，이불부부시침대우수개체，즉편시일개괄응도흔차적개체，야가능유모단기인적괄응도재동위치적기인중유착우수적괄응도，보증수거고사순최우해적준학。실험결과표명，산법재사순적수거질량、복무절점적부재능력이급사순적효솔방법요우우전통적방법。
Cloud computing and its application is a hot spot in current research, in view of the traditional methods used in the large-scale campus digital library data query service, puts forward a method of data query based on cloud computing. First use cloud computing technology to find the method in the database query requests the target node, and then by a single gene, the level of theory is introduced into the traditional genetic algorithm in cloud computing, there may be a pe-riod of gene of fitness in the same position has a good fitness, guarantee the accuracy of the optimum solution of the database query. Experimental results show that the method in query of data quality, service node load capacity and the efficiency of the query method is superior to the traditional way.