SpatialSPE

Overview

  • SpatialSPE accepts a continuous query and QoS budgets (expressed as latency and accuracy targets) and employs our spatial-aware sampling method (that we dub as SAOS, which is an integral part of SpatialSPE) to select an appropriate sample,
  • then it computes an approximate answer and serves it to the user incrementally, together with rigorous error bounds.
  • We have implemented SpatialSPE on top of Spark Structured Streaming

publication: IEEE CAMAD2020 & IEEE GLOBECOM2019

Isam Al Jawarneh
Isam Al Jawarneh
Assistant Professor

My research interests include big data management (Cloud & Edge), large-scale geospatial database systems,context-aware recommender systems, data warehousing & data lakes.

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