66 lines
3.0 KiB
TeX
66 lines
3.0 KiB
TeX
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% 02_field.tex
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% Field of the Invention
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% ===========================================
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\section{Field of the Invention}
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The present invention relates generally to computer systems and software
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execution technologies, and more particularly to virtual machines,
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interpreters, runtime engines, and adaptive execution environments that modify
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their internal behavior based on continuously observed workload conditions.
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More specifically, the invention concerns systems and methods for:
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\begin{itemize}
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\item dynamically adjusting internal runtime parameters in response to
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real-time signals such as execution heat, entropy, variance,
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temporal decay, and pipeline pressure;
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\item coordinating multiple interacting feedback loops to regulate lookup
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strategies, cache behavior, statistical inference weighting,
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window stabilization, and decay functions;
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\item characterizing workloads into behavioral families---including
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stable, temporal, volatile, transitional, and mixed-pattern
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execution---based on statistical and thermal-like metrics observed
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during interpretation;
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\item autonomously selecting among multiple validated execution modes
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without manual tuning, compile-time configuration, or external
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intervention;
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\item achieving shape-invariant performance across heterogeneous input
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waveforms, ensuring consistent behavior for sinusoidal, square,
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triangular, burst-like, random, mixed, and transitional workloads;
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\item and maintaining bounded, non-oscillatory adaptation through the use
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of supervisory control, hysteresis behavior, and stability
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constraints derived from the runtime state vector.
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\end{itemize}
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The field of the invention encompasses adaptive virtual machines, software
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interpreters, threaded execution engines, embedded runtimes, real-time systems,
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simulation frameworks, microkernel subsystems, and hybrid environments that
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combine statistical inference, decay-based temporal modeling, and feedback-loop
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coordination. The disclosed technology applies to systems requiring stable,
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predictable, and self-optimizing performance across changing or unpredictable
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workloads, including but not limited to:
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\begin{itemize}
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\item embeddable interpreters and stack-based VMs;
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\item just-in-time compilation frameworks incorporating adaptive heuristics;
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\item microkernel-based or message-driven execution environments;
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\item lightweight runtimes for constrained devices or soft real-time tasks;
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\item and high-reliability computing environments that demand reduced
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execution variance and rapid convergence to steady-state behavior.
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\end{itemize}
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This field further includes control-theoretic approaches to runtime management,
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performance stabilization through statistical analysis, and techniques for
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reducing jitter, variance, latency irregularities, and instability caused by
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heterogeneous or shape-varying workloads. The invention establishes an
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integrated architecture for self-regulating execution engines capable of
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continuously optimizing themselves based on real-time workload signals.
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\newpage
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