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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization

This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.

Supported Platform

We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there. We haven't done any test in other hardware environment.

Create Cluster

Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:

  1. Log into your own account.

  2. Start an experiment with the link provided in ./script/cloudlab.profile.

Source Code

Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:

git clone https://github.com/dmemsys/CIDER.git

Environment Setup

You have to install the necessary dependencies in order to build CIDER. Note that you should run the following steps on all nodes you have created.

  1. Enter the CIDER directory.

    cd CIDER

  2. Download traces.

    git submodule update --init --recursive

  3. Install Mellanox OFED.

    sudo sh script/installMLNX.sh

  4. Install the required libraries.

    sudo sh script/installLibs.sh;

  5. Reboots.

    reboot

You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected

Getting Started

  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).

    cd CIDER
sudo sh script/hugepage.sh

  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:

    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j

  • Execute the following command on one node to initialize the memcached:

    sudo bash ../script/restartMemc.sh

  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:

    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1

    Example:

    ./array_zipfian_test 8 50 64 0.99 1

  • Results:

    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.

    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:

      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>

      Example:

      python3 ../us_lat/cluster_latency.py 8 2 4

About

This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.

Resources

Readme
MIT license
Activity
Custom properties

Stars

2 stars

Watchers

0 watching

Forks

1 fork
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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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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.
Supported Platform
We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there.
We haven't done any test in other hardware environment.
Create Cluster
Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:
  1. Log into your own account.
  2. Start an experiment with the link provided in ./script/cloudlab.profile.
Source Code
Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:
git clone https://github.com/dmemsys/CIDER.git
Environment Setup
You have to install the necessary dependencies in order to build CIDER.
Note that you should run the following steps on all nodes you have created.
  1. Enter the CIDER directory.
    cd CIDER
  2. Download traces.
    git submodule update --init --recursive
  3. Install Mellanox OFED.
    sudo sh script/installMLNX.sh
  4. Install the required libraries.
    sudo sh script/installLibs.sh;
  5. Reboots.
    reboot
You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected
Getting Started
  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).
    cd CIDER
sudo sh script/hugepage.sh
  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:
    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j
  • Execute the following command on one node to initialize the memcached:
    sudo bash ../script/restartMemc.sh
  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:
    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1 
    Example:
    ./array_zipfian_test 8 50 64 0.99 1
  • Results:
    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.
    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:
      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>
      Example:
      python3 ../us_lat/cluster_latency.py 8 2 4
About
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
0 watching
Forks
1 fork
Report repository
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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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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.
Supported Platform
We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there.
We haven't done any test in other hardware environment.
Create Cluster
Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:
  1. Log into your own account.
  2. Start an experiment with the link provided in ./script/cloudlab.profile.
Source Code
Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:
git clone https://github.com/dmemsys/CIDER.git
Environment Setup
You have to install the necessary dependencies in order to build CIDER.
Note that you should run the following steps on all nodes you have created.
  1. Enter the CIDER directory.
    cd CIDER
  2. Download traces.
    git submodule update --init --recursive
  3. Install Mellanox OFED.
    sudo sh script/installMLNX.sh
  4. Install the required libraries.
    sudo sh script/installLibs.sh;
  5. Reboots.
    reboot
You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected
Getting Started
  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).
    cd CIDER
sudo sh script/hugepage.sh
  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:
    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j
  • Execute the following command on one node to initialize the memcached:
    sudo bash ../script/restartMemc.sh
  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:
    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1 
    Example:
    ./array_zipfian_test 8 50 64 0.99 1
  • Results:
    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.
    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:
      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>
      Example:
      python3 ../us_lat/cluster_latency.py 8 2 4
About
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.
Supported Platform
We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there.
We haven't done any test in other hardware environment.
Create Cluster
Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:
  1. Log into your own account.
  2. Start an experiment with the link provided in ./script/cloudlab.profile.
Source Code
Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:
git clone https://github.com/dmemsys/CIDER.git
Environment Setup
You have to install the necessary dependencies in order to build CIDER.
Note that you should run the following steps on all nodes you have created.
  1. Enter the CIDER directory.
    cd CIDER
  2. Download traces.
    git submodule update --init --recursive
  3. Install Mellanox OFED.
    sudo sh script/installMLNX.sh
  4. Install the required libraries.
    sudo sh script/installLibs.sh;
  5. Reboots.
    reboot
You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected
Getting Started
  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).
    cd CIDER
sudo sh script/hugepage.sh
  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:
    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j
  • Execute the following command on one node to initialize the memcached:
    sudo bash ../script/restartMemc.sh
  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:
    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1 
    Example:
    ./array_zipfian_test 8 50 64 0.99 1
  • Results:
    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.
    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:
      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>
      Example:
      python3 ../us_lat/cluster_latency.py 8 2 4
About
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, '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" + '

Skip to content
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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.
Supported Platform
We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there.
We haven't done any test in other hardware environment.
Create Cluster
Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:
  1. Log into your own account.
  2. Start an experiment with the link provided in ./script/cloudlab.profile.
Source Code
Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:
git clone https://github.com/dmemsys/CIDER.git
Environment Setup
You have to install the necessary dependencies in order to build CIDER.
Note that you should run the following steps on all nodes you have created.
  1. Enter the CIDER directory.
    cd CIDER
  2. Download traces.
    git submodule update --init --recursive
  3. Install Mellanox OFED.
    sudo sh script/installMLNX.sh
  4. Install the required libraries.
    sudo sh script/installLibs.sh;
  5. Reboots.
    reboot
You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected
Getting Started
  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).
    cd CIDER
sudo sh script/hugepage.sh
  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:
    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j
  • Execute the following command on one node to initialize the memcached:
    sudo bash ../script/restartMemc.sh
  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:
    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1 
    Example:
    ./array_zipfian_test 8 50 64 0.99 1
  • Results:
    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.
    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:
      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>
      Example:
      python3 ../us_lat/cluster_latency.py 8 2 4
About
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
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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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.
Supported Platform
We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there.
We haven't done any test in other hardware environment.
Create Cluster
Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:
  1. Log into your own account.
  2. Start an experiment with the link provided in ./script/cloudlab.profile.
Source Code
Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:
git clone https://github.com/dmemsys/CIDER.git
Environment Setup
You have to install the necessary dependencies in order to build CIDER.
Note that you should run the following steps on all nodes you have created.
  1. Enter the CIDER directory.
    cd CIDER
  2. Download traces.
    git submodule update --init --recursive
  3. Install Mellanox OFED.
    sudo sh script/installMLNX.sh
  4. Install the required libraries.
    sudo sh script/installLibs.sh;
  5. Reboots.
    reboot
You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected
Getting Started
  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).
    cd CIDER
sudo sh script/hugepage.sh
  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:
    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j
  • Execute the following command on one node to initialize the memcached:
    sudo bash ../script/restartMemc.sh
  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:
    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1 
    Example:
    ./array_zipfian_test 8 50 64 0.99 1
  • Results:
    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.
    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:
      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>
      Example:
      python3 ../us_lat/cluster_latency.py 8 2 4
About
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
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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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.
Supported Platform
We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there.
We haven't done any test in other hardware environment.
Create Cluster
Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:
  1. Log into your own account.
  2. Start an experiment with the link provided in ./script/cloudlab.profile.
Source Code
Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:
git clone https://github.com/dmemsys/CIDER.git
Environment Setup
You have to install the necessary dependencies in order to build CIDER.
Note that you should run the following steps on all nodes you have created.
  1. Enter the CIDER directory.
    cd CIDER
  2. Download traces.
    git submodule update --init --recursive
  3. Install Mellanox OFED.
    sudo sh script/installMLNX.sh
  4. Install the required libraries.
    sudo sh script/installLibs.sh;
  5. Reboots.
    reboot
You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected
Getting Started
  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).
    cd CIDER
sudo sh script/hugepage.sh
  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:
    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j
  • Execute the following command on one node to initialize the memcached:
    sudo bash ../script/restartMemc.sh
  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:
    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1 
    Example:
    ./array_zipfian_test 8 50 64 0.99 1
  • Results:
    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.
    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:
      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>
      Example:
      python3 ../us_lat/cluster_latency.py 8 2 4
About
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.
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Readme
MIT license
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CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization. This artifact provides the source code of CIDER and scripts to reproduce all the experiment results in our paper.
Supported Platform
We strongly recommend you to run CIDER using the r650 instances on CloudLab as the code has been thoroughly tested there.
We haven't done any test in other hardware environment.
Create Cluster
Follow the steps below to create an experimental cluster with 8 r650 nodes on CloudLab:
  1. Log into your own account.
  2. Start an experiment with the link provided in ./script/cloudlab.profile.
Source Code
Now you can log into all the CloudLab nodes. Using the following command to clone this github repo in the home directory (e.g., /users/TempUser) of all nodes:
git clone https://github.com/dmemsys/CIDER.git
Environment Setup
You have to install the necessary dependencies in order to build CIDER.
Note that you should run the following steps on all nodes you have created.
  1. Enter the CIDER directory.
    cd CIDER
  2. Download traces.
    git submodule update --init --recursive
  3. Install Mellanox OFED.
    sudo sh script/installMLNX.sh
  4. Install the required libraries.
    sudo sh script/installLibs.sh;
  5. Reboots.
    reboot
You can reboot all nodes in the cluster via your experiment in CloudLab|-->List View|-->Reboot Selected
Getting Started
  • Hugepages setting on all nodes (This step should be re-execute every time you reboot the nodes).
    cd CIDER
sudo sh script/hugepage.sh
  • Return to the root directory of CIDER and execute the following commands on all nodes to compile CIDER:
    mkdir -p build;cd build; cmake -DSTATIC_MN_IP=on -DENABLE_CORO=OFF -DUSE_MCS_WCV=ON -DUSE_ST=ON -DDELAY_WRITE=ON ..; make -j
  • Execute the following command on one node to initialize the memcached:
    sudo bash ../script/restartMemc.sh
  • Execute the following command on all nodes to conduct a zipfian evaluation on the pointer array:
    ./array_zipfian_test <CN_num><read_ratio><client_num_per_CN><zipfian> 1 
    Example:
    ./array_zipfian_test 8 50 64 0.99 1
  • Results:
    • Throughput: the throughput of CIDER of the whole cluster will be shown in the terminal of the first node.
    • Latency: execute the following command on one node to calculate the latency results of the whole cluster:
      python3 ../us_lat/cluster_latency.py <CN_num><epoch_start><epoch_num>
      Example:
      python3 ../us_lat/cluster_latency.py 8 2 4
About
This is the implementation repository of our VLDB'26 paper: CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization.
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages