L-2.3: First Come First Serve(FCFS) CPU Scheduling Algorithm with Example
Published May 19, 2018
At a glance
Views
4,387,630
Likes
62,124
Comments
1,264
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Complete OS Roadmap 🚀: https://www.gatesmashers.com/roadmaps/operating-systems In this video, Varun sir will explain First Come First Serve (FCFS) which is an operating system scheduling algorithm that automatically executes queued requests and processes in order of their arrival. It is the easiest and simplest CPU sc…
- Published
- May 19, 2018
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How L-2.3: First Come First Serve(FCFS) CPU Scheduling Algorithm with Example is doing
It has 4.38M views in total. It ranks #1,808,383 among tracked YouTube videos by views.
Key facts about L-2.3: First Come First Serve(FCFS) CPU Scheduling Algorithm with Example
- Total views
- 4.38M
- Total likes
- 62.1K
- Total comments
- 1.26K
- Published
- May 19, 2018
- Global rank by views
- #1,808,383
Frequently asked questions
How many views does L-2.3: First Come First Serve(FCFS) CPU Scheduling Algorithm with Example have?
L-2.3: First Come First Serve(FCFS) CPU Scheduling Algorithm with Example has 4,387,630 views, 62,124 likes and 1,264 comments, ranking #1,808,383 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
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