CAJ | 학술논문

提出一种基于启发式云计算的多源资源访问特征最小方差估计算法，构建多源资源访问的云计算Cloud-P2P融合模型，采用遗传算法对Cloud-P2P融合模型中多源资源访问特征进行信息提取，给出多源资源信息访问特征状态，采用自适应全局概率搜索，自主对整个所需搜索范围进行搜索以及优化，实现对多源资源访问特征的最小方差估计，提高访问性能。仿真结果表明，算法特征信息提取精度高，方差估计准确，通过启发式云计算对多源资源信息系统访问特征的最小方差准确估计，利用了众多闲置的普通用户终端节点上蕴含的巨大的计算和存储资源，可灵活设置备份规模，鲁棒性高，性能优越。
제출일충기우계발식운계산적다원자원방문특정최소방차고계산법，구건다원자원방문적운계산Cloud-P2P융합모형，채용유전산법대Cloud-P2P융합모형중다원자원방문특정진행신식제취，급출다원자원신식방문특정상태，채용자괄응전국개솔수색，자주대정개소수수색범위진행수색이급우화，실현대다원자원방문특정적최소방차고계，제고방문성능。방진결과표명，산법특정신식제취정도고，방차고계준학，통과계발식운계산대다원자원신식계통방문특정적최소방차준학고계，이용료음다한치적보통용호종단절점상온함적거대적계산화존저자원，가령활설치비빈규모，로봉성고，성능우월。
A calculation based on the heuristic cloud multi-source resource access characteristics of minimum variance esti?mation algorithm is proposed, building the multiple resource access cloud computing Cloud-P2P fusion model, genetic algo?rithm is used in Cloud-P2P fusion model of information extraction features multi-source access resources, given the multi-source information resources access feature state, using adaptive global probability search, independent of the whole re?quired the scope of the search for search and optimization, to achieve the minimum variance access characteristics of multi-source resource estimation, improve the access of. The simulation results show that, the algorithm can extract the feature in?formation of high precision, variance estimation accuracy, minimum variance over heuristic cloud computing access charac?teristics of multi-source information resource system accurate estimation, using the common user terminal node contains many idle on the huge computing and storage resources, it can flexibly set the backup size, it has high robustness and supe?rior performance.