Data-intensive Spatial Indexing on the Clouds

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• 作者：Abdelmounaam Rezgui^a ; ^{rezgui@cs.nmt.edu} ; Zaki Malik^b ; ^{zaki@wayne.edu} ; Jizhe Xia^c ; ^{jxia3@gmu.edu} ; Kai Liu^c ; ^{kliu4@gmu.edu} ; Chaowei Yang^c ; ^{yang3@gmu.edu}
• 关键词：Cloud computing ; Data-intensive spatial indexing ; R-Trees
• 刊名：Procedia Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：18
• 期：Complete
• 页码：2615-2618
• 全文大小：470 K

文摘

In this paper, we investigate the potential of cloud computing for data-intensive spatial indexing. We assess the benefits in performance and cost. Specifically, we consider a data- and compute-intensive spatial application, namely, the construction of very large R-tree spatial indexes. We selected this application because of its high computing and memory requirements. We implemented this application and deployed it on various types of cloud configurations. We report our findings and provide insights useful when considering cloud computing for data- and compute-intensive spatial applications.