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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

About

Asynchronous file copy operation on Linux using POSIX Asynchronous I/O (AIO)

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

About

Asynchronous file copy operation on Linux using POSIX Asynchronous I/O (AIO)

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

About

Asynchronous file copy operation on Linux using POSIX Asynchronous I/O (AIO)

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1 star

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

About

Asynchronous file copy operation on Linux using POSIX Asynchronous I/O (AIO)

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

About

Asynchronous file copy operation on Linux using POSIX Asynchronous I/O (AIO)

Topics

Resources

Stars

1 star

Watchers

1 watching

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

About

Asynchronous file copy operation on Linux using POSIX Asynchronous I/O (AIO)

Topics

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

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Asynchronous File Copying for Linux

🐛 Features

  • Asynchronous I/O operations for non-blocking file copying.
  • Customizable block size for copying, set by the user.
  • The number of simultaneous asynchronous operations can be specified by the user.
  • Timing of the copy operation to determine the duration of the process.

⚙️ Requirements

  • A Linux environment with support for POSIX AIO.
  • GCC or another compatible C compiler.
sudo apt update
sudo apt install gcc git -y

🛠️ Compilation and Usage

1. To compile the program, use the following commands:

Clone the repo:
git clone https://github.com/a13xe/LinuxAsyncCopying.git
Navigate to the directory:
cd LinuxAsyncCopying
Compile the executable (choose one):
gcc -o async_copy async_copy_aio_error.c -lrt
gcc -o async_copy async_copy_aio_suspend.c -lrt
Execute the program:
./async_copy

2. The program will prompt you for these inputs (Example):

ScreenshotScreenshot

🔖 Comparing Performance: aio_suspend vs. aio_error

  • The performance difference between using aio_suspend and active waiting with aio_error can be explained by the differences in waiting mechanisms and processing of asynchronous operations.

  • When you use aio_suspend, the program pauses and waits for a notification from the kernel about the completion of at least one of the asynchronous operations, which can lead to some delay since the program "wakes up" only after receiving such a notification. This means there can be some time between the completion of the operation and the resumption of the program's work during which the CPU is not occupied with processing other copying operations.

  • On the other hand, active waiting with aio_error leads to the program constantly checking the status of each asynchronous operation in a loop. Although this might seem less efficient in terms of CPU usage, such an approach can allow for a quicker response to the completion of operations, especially if the operations finish at different speeds. This can lead to an earlier start of new read or write operations, which, in turn, can speed up the overall copying process.

  • It is also important to consider that the performance of asynchronous I/O can greatly depend on the system characteristics, such as disk performance, system load, block size, and the number of concurrent asynchronous operations. In some cases, active waiting might be more preferable if it allows for a more efficient use of the available I/O bandwidth, despite the higher CPU consumption.

  • Ultimately, the choice between aio_suspend and active waiting with aio_error should be based on the specific performance and resource requirements of your application, as well as the characteristics of the target system. In some cases, it might be useful to conduct your own performance testing to determine the most efficient approach.

  • In my case, when using aio_suspend, a 4 GB file is copied in 16 seconds using an 8 KB block size and 8 operations, whereas using aio_error for active waiting, the same operation takes only 9 seconds

About

Asynchronous file copy operation on Linux using POSIX Asynchronous I/O (AIO)

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages