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Varying the query staleness in TP-Grid

Darius Š idlauskas Aarhus University. Christian S. Jensen Aarhus University. Simonas Š altenis Aalborg University. Processing of Extreme Moving-Object Update and Query Workloads in Main Memory. Main Data Structures. Semantics. Timeslice. Freshness. Two-phase switching in TP-Grid.

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Varying the query staleness in TP-Grid

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  1. Darius ŠidlauskasAarhus University Christian S. JensenAarhus University Simonas ŠaltenisAalborg University Processing of Extreme Moving-Object Update and Query Workloads in Main Memory Main Data Structures Semantics Timeslice Freshness Two-phase switching in TP-Grid Up-to-date Query Results Stale/delayed • Includes four diverse multi-core platforms • Studies eight grid-based index variants • Exercises the indexes under massive workloads containing tens of millions of moving vehicles simulated in a road network of Germany • All figures show results obtained on a 16-core Intel E5-2670 machine with 32 hardware threads in total Optimal Grid Cell Size Multi-threaded Scalability Varying the query staleness in TwinGrid Varying the query staleness in TP-Grid Results from a micro-benchmark that measures CPU Cycles per 128-bit read/write using different synchronization methods. Varying T0 Varying RQ Size Varying #objects Varying U/Q Ratio MADALGO – Center for Massive Data Algorithmics, a Center of the Danish National Research Foundation

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