<?xml version="1.0" encoding="utf-8" standalone="yes"?>&lt;?xml-stylesheet type="text/xsl" href="https://academic-works.astrareconslabs.com/feed.xsl"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research — Parth Sinha</title><link>https://academic-works.astrareconslabs.com/research/</link><description>Academic homepage of Parth Sinha, researcher in Computer Science.</description><language>en-gb</language><managingEditor> (Parth Sinha)</managingEditor><lastBuildDate>Sat, 16 May 2026 10:34:04 +0000</lastBuildDate><atom:link href="https://academic-works.astrareconslabs.com/research/index.xml" rel="self" type="application/rss+xml"/><item><title>Adaptive Consensus Protocols Under Partial Synchrony</title><link>https://academic-works.astrareconslabs.com/research/~/adaptive-consensus-protocols-under-partial-synchrony/</link><pubDate>Sun, 15 Sep 2024 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/research/~/adaptive-consensus-protocols-under-partial-synchrony/</guid><description>We present AdaptRaft, a variant of the Raft consensus algorithm that dynamically adjusts its timing parameters using a lightweight online learning model, reducing tail latency by up to 34% in geo-distributed deployments.</description></item><item><title>Byzantine Fault Tolerance in Practice: A Survey of Modern BFT Protocols</title><link>https://academic-works.astrareconslabs.com/research/~/byzantine-fault-tolerance-in-practice-a-survey-of-modern-bft-protocols/</link><pubDate>Fri, 01 Mar 2024 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/research/~/byzantine-fault-tolerance-in-practice-a-survey-of-modern-bft-protocols/</guid><description>A structured survey of Byzantine fault-tolerant consensus protocols deployed since 2015, identifying the practical trade-offs between safety, liveness, and throughput that are often obscured in theoretical treatments.</description></item><item><title>Learned Indices for Distributed Key-Value Stores</title><link>https://academic-works.astrareconslabs.com/research/~/learned-indices-for-distributed-key-value-stores/</link><pubDate>Sat, 10 Jun 2023 00:00:00 +0000</pubDate><guid>https://academic-works.astrareconslabs.com/research/~/learned-indices-for-distributed-key-value-stores/</guid><description>We explore the applicability of learned index structures to distributed key-value stores, demonstrating that model-based indices can reduce lookup latency by 22% with a modest increase in memory footprint on skewed workloads.</description></item></channel></rss>