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<span class="elementToProof">Hello,</span></div>
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<span style="font-family: Ariel, serif; font-size: 15pt; color: rgb(36, 36, 36);" class="elementToProof">My name is Lior Brown, a research assistant from Ariel University, and contributer of squid-cache.</span></p>
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<pre style="width: 50em;" class="elementToProof" id="comment_text_0"><div style="direction: ltr; text-align: left; text-indent: 0px; white-space: pre-wrap; font-family: Ariel, serif; font-size: 15pt; color: rgb(36, 36, 36);" class="elementToProof">I am currently working on a research project involving request dispatching and peer selection within the Squid-cache core.</div><div style="direction: ltr; text-align: left; text-indent: 0px; white-space: normal; font-family: Ariel, serif; font-size: 20px; color: rgb(36, 36, 36);" class="elementToProof"><br></div><div style="direction: ltr; text-align: left; text-indent: 0px; font-family: Ariel, serif; font-size: 15pt; color: rgb(36, 36, 36);" class="elementToProof"><span class="elementToProof">During my development, I have encountered several mechanisms and logic blocks within the source code that deliberately prevent or queue parallel HTTP requests for the same URL, effectively serializing them.
I would like to understand the fundamental design rationale behind these restrictions. Specifically:
Are these blocks in place due to specific architectural constraints (such as memory management or Store Entry state transitions)?
Are there known side effects or risks I should be aware of if I attempt to implement parallel requesting for identical objects in a research environment?
I want to ensure I fully understand the system's design philosophy before proceeding with any modifications.
</span></div><div style="direction: ltr; text-align: left; text-indent: 0px; font-family: Ariel, serif; font-size: 15pt; color: rgb(36, 36, 36);" class="elementToProof"><span class="elementToProof">Thank you for your time and insights.</span></div></pre>
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best regards,</div>
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