https://community.element14.com/technologies/wireless/w/documents/7516/pageen-USTelligent Community 12https://community.element14.com/technologies/wireless/w/documents/7516/pageThu, 07 Oct 2021 07:39:45 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:2e734b83-9ea6-4100-b44e-d9f7b1908065sophie0lovehttps://community.element14.com/technologies/wireless/w/documents/7516/page#commentsCurrent Revision posted to Documents by sophie0love on 10/7/2021 7:39:45 AM<br /> <p style="margin:0;">数据流本质上是分布的,很多时候必须考虑通信开销.基于滑动窗口模型,考虑分布式数据流上的精确连续极值查询问题,对降低通信开销的策略进行了研究.分析了滑动窗口和极值查询的特性,提出了一种数据裁剪策略,系统只需保存少量数据即可满足极值查询的需求,并从理论上证明了该裁剪是存储最优的.远程节点在保证全局结果正确性的前提下尽量延迟数据传递,从而尽可能对局部数据流进行裁剪过滤,达到降低通信量的目的.理论分析和实验结果证明了上述方法的有效性. </p> <div class="migration-injected-attachments"><div style="font-weight:bold;margin:15px 0 5px 0;">Attachments:</div><div></div><table style="border:0;"><tbody><tr><td width="160"><span class="_se_attachment" id="attid_https://www.element14.com/community/api/core/v3/attachments/20387"><a href="https://community.element14.com/cfs-file/__key/communityserver-wikis-components-files/00-00-00-00-05/_0652035E0F5F70656E63416D0A4E4E4F1A90E14F005F00958476DE8FED7E81673C50E567E28BB965D56C1478767A_.pdf">community.element14.com/.../_0652035E0F5F70656E63416D0A4E4E4F1A90E14F005F00958476DE8FED7E81673C50E567E28BB965D56C1478767A_.pdf</a></span></td><td><span style="font-size:80%;">分布式数据流上低通信开销的连续极值查询方法研究.pdf</span></td></tr></tbody></table></div><div style="clear:both;"></div>