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使SPARQL的细粒度HTTP查询结果缓存有可能Enabling ne-grained HTTP caching of SPARQL query results |
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| 课程网址: | http://videolectures.net/iswc2011_todd_williams_results/ |
| 主讲教师: | Gregory Todd Williams |
| 开课单位: | 伦斯勒理工学院 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | As SPARQL endpoints are increasingly used to serve linked data, their ability to scale becomes crucial. Although much work has been done to improve query evaluation, little has been done to take advantage of caching. E ffective solutions for caching query results can improve scalability by reducing latency, network IO, and CPU overhead.We show that simple augmentation of the database indexes found in common SPARQL implementations can directly lead to e effective caching at the HTTP protocol level. Using tests from the Berlin SPARQL benchmark, we evaluate the potential of such caching to improve overall efficiency of SPARQL query evaluation. |
| 关 键 词: | 扩展能力; 缓存查询; 数据库索引; HTTP协议 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-05：cwx |
| 阅读次数: | 40 |