图 书 馆
分布式RDF存储中数据放置策略对查询工作的影响分析Impact analysis of data placement strategies on query efforts in distributed RDF stores |
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| 课程网址: | http://videolectures.net/iswc2018_janke_impact_distributed_rdf/ |
| 主讲教师: | Daniel Janke |
| 开课单位: | 科布伦茨-朗道大学网络科学与技术研究所（WeST） |
| 开课时间: | 2018-11-22 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In the last years, scalable RDF stores in the cloud have been developed, where graph data is distributed over compute and storage nodes for scaling efforts of query processing and memory needs. One main challenge in these RDF stores is the data placement strategy that can be formalized in terms of graph covers. These graph covers determine whether (a) the triples distribution is well-balanced over all storage nodes (storage balance) (b) different query results may be computed on several compute nodes in parallel (vertical parallelization) and (c) individual query results can be produced only from triples assigned to few — ideally one — storage node (horizontal containment). We analyse the impact of three most commonly used graph cover strategies in these terms and found out that balancing query workload reduces the query execution time more than reducing data transfer over network. To this end, we present our novel benchmark and open source evaluation platform Koral. |
| 关 键 词: | 云中的可扩展RDF存储; 常用的图覆盖策略; 网络上的数据传输 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-20：cyh |
| 最后编审: | 2022-12-23：cyh |
| 阅读次数: | 8 |