Essays about: "Consensus Algorithms"
Showing result 1 - 5 of 41 essays containing the words Consensus Algorithms.
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1. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE
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2. Consensus Algorithms in Blockchain : A survey to create decision trees for blockchain applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blockchain is a decentralized database that is distributed among a computer network. To enable a smooth decision making process without any authority, different blockchain applications use their own consensus algorithms. The problem is that for a new blockchain application, there is limited aid in deciding which algorithm it should implement. READ MORE
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3. Optimizing Consensus Protocols with Machine Learning Models : A cache-based approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Distributed systems offer a reliable and scalable solution for tackling massive and complex tasks that cannot be handled by a single computer. However, standard consensus protocols used in such systems often replicate data without considering the workload, leading to unnecessary retransmissions. READ MORE
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4. Rethinking Execution Layer Front-Running Protection with Threshold Encryption : F3B: A Per-Transaction Front-Running Protection Architecture with Low-Latency Overhead
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blockchain is a decentralized and immutable append-only ledger. Smart contracts, the self-executing programs on blockchain, help build the Decentralized Finance (DeFi) markets. Front-running is the practice of benefiting from advanced knowledge of pending transactions. READ MORE
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5. Resource-efficient and fast Point-in-Time joins for Apache Spark : Optimization of time travel operations for the creation of machine learning training datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A scenario in which modern machine learning models are trained is to make use of past data to be able to make predictions about the future. When working with multiple structured and time-labeled datasets, it has become a more common practice to make use of a join operator called the Point-in-Time join, or PIT join, to construct these datasets. READ MORE