Optimizing JVM Performance in Medical Alert Systems through Pattern Pre-compilation
Author(s): Anupam Ojha
Publication #: 2603027
Date of Publication: 06.12.2021
Country: United States
Pages: 1-3
Published In: Volume 7 Issue 6 December-2021
DOI: https://doi.org/10.62970/IJIRCT.v7.i6.2603027
Abstract
In hospital telemetry and medical alert systems, real-time performance is a critical prerequisite for patient safety. High-frequency physiological data streams require immediate, deterministic pattern matching to trigger life-critical alerts. However, standard Java Virtual Machine (JVM) implementations often encounter significant performance degradation during string-based operations due to the overhead of repeated regular expression compilation and inefficient heap allocation. This paper presents an experiment-driven methodology for optimizing JVM performance by implementing pattern precompilation during the system bootstrap phase. By shifting the computational load from the critical data path to the initialization phase, we achieved a 3x throughput improvement and a 65% reduction in P99 latency. Our findings demonstrate that pre-allocated deterministic finite automata (DFA) structures significantly mitigate Garbage Collection (GC) pressure and CPU spikes, ensuring clinical reliability in high-concurrency environments.
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