用户兴趣感知的内容副本优化放置算法
TP393; 提出了用户兴趣感知的内容副本优化放置算法.该算法首先基于聚类算法从用户访问日志提取各用户的群体内容兴趣主题,依据其所辖用户的个体兴趣度加权得其群体兴趣度,并对其进行实时更新;然后在非线性优化模型下,以最小化平均响应时间为目标,优先放置群体兴趣度较大的副本,以实现被放置副本与用户内容兴趣主题的最大匹配.在平均响应时间、请求响应匹配度、负载均衡和邻近副本利用率等方面,与1-Greedy-Insert等算法进行对比,仿真结果显示各性能指标平均提升了约30％,验证了算法的有效性....
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| Published in | 通信学报 Vol. 35; no. 12; pp. 21 - 27 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
北京科技大学计算机与通信工程学院,北京,100083%重庆邮电大学移动通信技术重点实验室,重庆,400065
2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1000-436X |
| DOI | 10.3969/j.issn.1000-436x.2014.12.003 |
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| Abstract | TP393; 提出了用户兴趣感知的内容副本优化放置算法.该算法首先基于聚类算法从用户访问日志提取各用户的群体内容兴趣主题,依据其所辖用户的个体兴趣度加权得其群体兴趣度,并对其进行实时更新;然后在非线性优化模型下,以最小化平均响应时间为目标,优先放置群体兴趣度较大的副本,以实现被放置副本与用户内容兴趣主题的最大匹配.在平均响应时间、请求响应匹配度、负载均衡和邻近副本利用率等方面,与1-Greedy-Insert等算法进行对比,仿真结果显示各性能指标平均提升了约30％,验证了算法的有效性. |
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| AbstractList | TP393; 提出了用户兴趣感知的内容副本优化放置算法.该算法首先基于聚类算法从用户访问日志提取各用户的群体内容兴趣主题,依据其所辖用户的个体兴趣度加权得其群体兴趣度,并对其进行实时更新;然后在非线性优化模型下,以最小化平均响应时间为目标,优先放置群体兴趣度较大的副本,以实现被放置副本与用户内容兴趣主题的最大匹配.在平均响应时间、请求响应匹配度、负载均衡和邻近副本利用率等方面,与1-Greedy-Insert等算法进行对比,仿真结果显示各性能指标平均提升了约30％,验证了算法的有效性. |
| Author | 隆克平 阳小龙 黄琼 王欣欣 张敏 |
| AuthorAffiliation | 北京科技大学计算机与通信工程学院,北京,100083%重庆邮电大学移动通信技术重点实验室,重庆,400065 |
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| Author_FL | HUANG Qiong YANG Xiao-long ZHANG Min LONG Ke-ping WANG Xin-xin |
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| Keywords | 兴趣感知 clustering algorithm 聚类算法 副本放置 兴趣主题 replica placement subjects of interest interest-aware |
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| Title | 用户兴趣感知的内容副本优化放置算法 |
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