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As parallel computing has become increasingly common, the need for scalable and efficient ways of storing and locating data has become increasingly acute. For years, both grid and cloud computing have distributed data across machines and even clusters at different geographic locations (sites). However not all sites need all of the data in a particular data set, or have the (perhaps specialized) processing...
A spatio-temporal database manages both space and time data, whose position or extent may change over time. It is widely used in Transportation Management Systems and Geographic Information Systems to answer queries for objects at a particular position during a period of time. In this paper, we build a spatio-temporal database prototype by implementing a space-filling curve and R-tree inside a relational...
This paper describes a design and implementation of a distributed high-performance partial spatial replica location service. Our replica location service identifies the set of partial replicas that intersect with a region of interest, an important component of partial spatial replica selection. We find that using an R-Tree data structure is superior to relying on a relational database alone when handling...
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