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Buffers: Buffer Capacity01:09

Buffers: Buffer Capacity

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Buffer capacity is the quantitative measure of a buffer to resist the change in pH. As shown in the following equation, the buffer capacity, denoted by 'beta', is expressed as the number of moles of acid or base needed to change the pH of a one-liter buffer solution by 1 unit. Here, Ca and Cb indicate the number of moles of acid and base, respectively. Note that dpH represents the change in pH.
In the graph, pH is plotted as a function of the number of moles of base (Cb) added to a weak...
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Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised.
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Chemical buffers play a critical role in the body's regulation of pH levels. These systems contain one or more compounds that stabilize pH changes by neutralizing strong acids or bases. When pH levels drop, hydrogen ions bind to a weak base; when pH levels rise, hydrogen ions are released. This dynamic process helps maintain pH within a narrow and stable range essential for normal physiological function.
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Buffers: Overview01:30

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Buffers play a crucial role in stabilizing the pH of a solution by mitigating the effects of small amounts of added acid or base. They consist of a weak acid and its conjugate base or a weak base and its conjugate acid. A solution of acetic acid and sodium acetate is an example of a buffer that consists of a weak acid and its salt: CH3COOH (aq) + CH3COONa (aq). An example of a buffer that consists of a weak base and its salt is a solution of ammonia and ammonium chloride: NH3 (aq) + NH4Cl (aq).
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Correction: Kang et al. Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester. <i>Micromachines</i> 2024, <i>15</i>, 581.

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Early Dirty Buffer Flush with Second Chance for SSDs.

Ilhoon Shin1

  • 1Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.

Micromachines
|July 8, 2023
PubMed
Summary

This study introduces a selective early flush policy for Solid State Drives (SSDs) using NAND flash memory. It optimizes buffer management to reduce NAND write operations and improve I/O request response times.

Keywords:
NAND flash memoryNVRAMSSDbuffer cacheearly flushsecond chance

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Data Storage Technologies

Background:

  • High-performance server applications drive demand for advanced storage solutions.
  • Solid State Drives (SSDs) with NAND flash memory are replacing hard disks due to superior performance.
  • Buffer caching in SSDs using internal memory is crucial for enhancing performance.

Purpose of the Study:

  • To address the performance limitations of existing early flush policies in SSDs.
  • To reduce the negative side effect of increased NAND write operations caused by early flushing.
  • To propose and evaluate a selective early flush policy for improved SSD performance.

Main Methods:

  • Implementing a selective early flush policy that evaluates buffer rewrite likelihood.
  • Comparing the proposed policy against existing early flush methods using mixed trace data.
  • Analyzing the impact on NAND write operations and I/O request response times.

Main Results:

  • The selective early flush policy reduced NAND write operations by up to 18.0% compared to the standard early flush policy.
  • The proposed policy demonstrated improved I/O request response times across most tested configurations.
  • This selective approach effectively mitigates the performance trade-offs of traditional early flushing.

Conclusions:

  • The selective early flush policy offers a significant improvement over existing methods for SSD buffer management.
  • This optimization is vital for high-performance server-based applications demanding efficient data storage.
  • Further research can explore adaptive algorithms for even greater efficiency in NAND flash memory utilization.