SpatialSSJP

Nov 1, 2018

Overview

  • SpatialSSJP is a QoS-aware adaptive stream-static join processor that exploits a custom geospatial online sampling method for selecting proportionate sampling fraction through the application of an embedded rate controller and serve it to SAOS using a feedback loop mechanism.
  • SpatialSSJP is an approximation framework that is designed to efficiently tradeoff miniscule error-bounded accuracy for low-latency, thereby assisting SpatialDSMS to survive during brutal burst spikes in data arrival rates.
    • SpatialSSJP achieves that in a circadian rhythm without counteracting the benifits of its controller

publication: Manuscript submitted to an IEEE Transactions journal

geospatial big data management geospatial AQP big data streams unibo
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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