Requests per second

USAGE SUMMARY

The phrase "Requests per second" is correct and usable in written English.
It is typically used in technical contexts, particularly in computing and networking, to measure the number of requests processed in one second. Example: "The server can handle up to 1000 requests per second without any performance degradation."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Site performance should be improved after this update, as PHP 7 boasts remarkably optimized memory usage, and WordPress running under PHP 7 can run twice as many requests per second as the same platform running PHP 5.6.

Princeton University

There have been more than 22m views of the webpage, peaking at some 50,000 requests per second on 3 August, as readers rushed to become one of the million users chosen to receive early access and a chance to shape the website's development.

The Guardian

Based upon the stress testing of 10 m1.medinstancesnces the mean maximum requests per second an instance could fulfil was 2431 requests per second.

Journal of Cloud Computing

If you look at the peak request rate, it's more than 70,000 requests per second.

Forbes

Windows Azure Storage, says Microsoft, currently processes an average of 270,000 requests per second, with peaks of around 880,000 requests per second.

TechCrunch

At one point, said Beaumont, connections to his domain peaked at five requests per second.

Forbes

Amazon S3 holds trillions of objects and regularly peaks at 1.5 million requests per second.

Forbes

80 % CPU utilisation was exceeded upon handling around 2000 requests per second.

Journal of Cloud Computing

The corresponding RA then needs to be able to dispatch thousands of requests per second.

EURASIP Journal on Wireless Communications and Networking

That is, λ corresponds to the average number of new user session requests per second.

EURASIP Journal on Wireless Communications and Networking

The highest performance was demonstrated by instance E which achieved 3052 requests per second.

Journal of Cloud Computing

Expert writing Tips

Best practice

Use “requests per second” in conjunction with other metrics like latency and error rate to provide a holistic view of system health and performance.

Common error

Be specific about the type of requests being measured (e.g., API requests, HTTP requests) to avoid ambiguity. Generalizing without context can lead to miscommunication.

Linguistic Context

The phrase "requests per second" functions as a technical term, quantifying the rate at which a system processes requests. It is commonly used in performance analysis and system design, as Ludwig's examples demonstrate.

Expression frequency: Very common

Frequent in

Science

39%

News & Media

54%

Formal & Business

7%

Less common in

Academia

2%

Wiki

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "requests per second" is a common metric for measuring system performance, particularly in computing and networking contexts. As Ludwig AI confirms, it is grammatically correct and widely used. Its primary function is to quantify the rate at which a system processes requests, serving as a benchmark for comparison and optimization. While alternatives like "queries per second" and "transactions per second" exist, the key is to maintain specificity and avoid ambiguity. When discussing system performance, use this metric alongside others like latency to get a comprehensive understanding of system health. The phrase appears frequently in scientific publications, news media, and formal business documents.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Request rate

A more generic term referring to the frequency of requests.

Queries per second

Focuses specifically on database queries rather than general requests.

Transactions per second

Emphasizes completed transactions, implying a higher level of processing than a simple request.

Operations per second

Highlights the number of operations a system can handle, covering a broad range of tasks.

Hits per second

Refers to the number of hits a server receives, typically in web contexts.

Processing rate

Highlights the speed at which requests are processed by a system.

Calls per second

Used in API or telecommunications contexts to measure the rate of calls processed.

Messages per second

Relevant in messaging systems, indicating the rate at which messages are processed.

Events per second

Emphasizes the processing of events, suitable for event-driven architectures.

Throughput

A general term for the rate of data or requests processed over a period of time.

FAQs

How do I effectively use "requests per second" in a sentence?

To effectively use "requests per second", quantify the performance of a system. For example: "The server handles 10,000 "requests per second" at peak times."

What are some alternatives to saying "requests per second"?

Alternatives include "queries per second", "transactions per second", or "operations per second", depending on the context. These alternatives specify the type of action being measured.

Is it better to measure "requests per second" or latency?

Both are important. "Requests per second" measures throughput, while latency measures response time. Use both to get a comprehensive view of system performance; high throughput with high latency might indicate bottlenecks.

What factors can affect the "requests per second" a system can handle?

Factors include hardware resources (CPU, memory), network bandwidth, software efficiency, and database performance. Optimizing any of these can improve the "requests per second" a system can process.