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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 2, 2025.
Abstract: Optimization of application performance is a critical aspect of software development, especially when dealing with high-throughput operations such as handling HTTP requests. In modern C#, structures Span<T> and Memory<T> provide powerful tools for working with memory more efficiently, reducing heap allocations, and improving overall performance. This paper explores the practical applications of Span<T> and Memory<T> in the context of optimizing HTTP request processing. Real-world examples and approaches that demonstrate how these types can minimize memory fragmentation are presented, avoid unnecessary data copying, and enable high-performance parsing and transformation of HTTP request data. By leveraging these advanced memory structures, developers can significantly enhance the throughput and responsiveness of their applications, particularly in resource-constrained environments or systems handling many concurrent requests. This paper aims to provide developers with actionable insights and strategies for integrating these techniques into their .NET applications for improved performance.
Daniel Damyanov and Ivaylo Donchev, “Performance Optimization with Span<T> and Memory<T> in C# When Handling HTTP Requests: Real-World Examples and Approaches” International Journal of Advanced Computer Science and Applications(IJACSA), 16(2), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160220
@article{Damyanov2025,
title = {Performance Optimization with Span<T> and Memory<T> in C# When Handling HTTP Requests: Real-World Examples and Approaches},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160220},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160220},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {2},
author = {Daniel Damyanov and Ivaylo Donchev}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.