The volume of spatio-temporal data is growing at a rapid pace due to advances in location-
aware devices, eg, smartphones, and the popularity of location-based services, eg …

With the widespread use of mobile and sensing devices, and the popularity of online map-
based services, such as navigation services, the volume of spatio-temporal data is growing …

Vast amounts of trajectory data have been collected due to the popularity of GPS devices.
Analyzing this wealth of data is important, thus highlighting the need to efficiently index and …

To optimize the processing of spatial queries, there is an increasing interest in combining
spatial index structures with modern storage devices like flash-based Solid State Drives …

Given a set of user-specified locations and a massive trajectory dataset, the task of mining
spatio-temporal reachable regions aims at finding which road segments are reachable from …

In this article, we propose a novel indexing and querying method for trajectories constrained
in a road network. We aim to provide efficient algorithms for various types of spatiotemporal …

Representing the movements of objects (trips) over a network in a compact way while
retaining the capability of exploiting such data effectively is an important challenge of real …

Flash memory is featured with salient advantages over conventional hard disks for massive
data storage and efficient on-board data processing. A flash translation layer (FTL) is a …

In column stores, which ingest large amounts of data into multiple column groups, query
performance deteriorates. Commercial column stores use log-structured merge (LSM) tree …

The use of flash-based storage devices has become popular in both research and practice
due to their intrinsic advantages over traditional magnetic counterparts. Many advanced …