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Related Concept Videos

Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Restarting Stalled Replication Forks02:37

Restarting Stalled Replication Forks

DNA replication is initiated at sites containing predefined DNA sequences known as origins of replication. DNA is unwound at these sites by the minichromosome maintenance (MCM) helicase and other factors such as Cdc45 and the associated GINS complex.The unwound single strands are protected by replication protein A (RPA) until DNA polymerase starts synthesizing DNA at the 5’ end of the strand in the same direction as the replication fork. To prevent the replication fork from falling apart, a...
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BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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Rational Dosage Regimen: Maintenance Dose and Loading Dose01:24

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Related Experiment Videos

Stabilizing distributed OLTP under high contention via measurement-driven adaptive concurrency control.

R Kanimozhi1, M Arokia Staline Mary2, Sandra Johnson3

  • 1Department of Artificial Intelligence and Data Science, A.V.C. College of Engineering, Mayiladuthurai, Tamil Nadu, India. kanimozhivedharajan@gmail.com.

Scientific Reports
|July 9, 2026
PubMed
Summary
This summary is machine-generated.

Distributed online transaction processing (OLTP) systems face instability due to high contention. Measurement-Driven Adaptive Concurrency Control (MD-ACC) enhances stability and performance by dynamically adjusting policies based on real-time system metrics.

Keywords:
Concurrency controlDistributed OLTPHigh contentionMeasurement-driven adaptationPerformance evaluation

Related Experiment Videos

Area of Science:

  • Computer Science
  • Distributed Systems
  • Database Systems

Background:

  • Distributed online transaction processing (OLTP) systems suffer from instability under high contention, leading to issues like abort cascades and high latency.
  • Traditional concurrency control schemes (2PL, OCC, MVCC) lack flexibility to adapt to dynamic contention patterns, hindering throughput and increasing latency skew.

Purpose of the Study:

  • To propose a Measurement-Driven Adaptive Concurrency Control (MD-ACC) framework for distributed OLTP systems.
  • To interpret concurrency control as a feedback-controlled process for dynamic adaptation to contention levels.

Main Methods:

  • Developed MD-ACC with a control layer that monitors runtime metrics (conflict rate, abort rate, queue length, retry intensity).
  • Implemented real-time contention level determination using a composite contention score and stable adaptation via hysteresis-based transition.
  • Dynamically applied coordinated policies including wait-abort regulation, adaptive retry backoff, and admission throttling.

Main Results:

  • MD-ACC demonstrated up to 2.1x higher throughput compared to classical and hybrid baselines.
  • Achieved significantly lower abort rates and improved execution stability under high contention conditions.
  • Experimental results validated the effectiveness of measurement-based adaptation in distributed transaction processing.

Conclusions:

  • MD-ACC offers a robust solution for managing instability and improving performance in high-contention distributed OLTP systems.
  • The framework's dynamic adaptation capabilities provide better throughput and stability than traditional fixed-policy approaches.
  • MD-ACC shows significant applicability and deployability for current distributed transaction processing systems.