Characterizing Distributed Systems: Multiple autonomous computers with CPUs, memory, storage, and I/O paths, interconnected geographically, shared state, global invariants. Classifying Distributed Systems: Based on synchrony, communication medium, fault models like crash and Byzantine failures. Comp

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In this technical document, we delve into the calculation of fault current and fault apparent power in symmetrical three-phase short circuit scenarios within power systems. Through detailed equivalent circuit diagrams, reactance calculations, and per unit value derivations, the fault current and app

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Distributed Operating Systems (DOS) manage computer resources and provide users with convenient interfaces. Unlike centralized systems, DOS runs on multiple independent CPUs and prioritizes software over hardware. It ensures transparency and fault tolerance, with a focus on software error handling.

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Byzantine fault tolerance is crucial in ensuring the reliability of distributed systems, especially in the presence of malicious nodes. This concept deals with normal faults, crash faults, and the challenging Byzantine faults, where nodes can exhibit deceptive behaviors. The Byzantine Generals Probl

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This course, led by Assistant Professor Marco Canini, delves into the technical aspects of blockchain technologies, distributed consensus, and secure software engineering. Students will engage in flipped classroom-style classes and paper presentations, critiquing research papers, defending research

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Autoimmunity is a condition where the body's immune cells mistakenly attack its own tissues, leading to damage. Immunological tolerance helps prevent this by mechanisms like central and peripheral tolerance. Central tolerance involves deleting self-reactive immune cells during maturation in key orga

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This guide by British Telecommunications plc provides detailed instructions on raising a Customer Controlled Special Faults Investigation (CCSFI) fault. It covers topics such as Version Control, Best Practices for Knowledge Based Diagnostics (KBD) and CCSFI, logging in, and step-by-step guidance for

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Byzantine Fault Tolerance (BFT) is a critical concept in computer science, addressing faults in distributed systems. This summary covers the types of faults (normal, crash, Byzantine), implications of Byzantine faults, Byzantine Generals Problem, impossibility results, and the complexity of solving

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MapReduce is a powerful paradigm that enables distributed processing of large datasets by dividing the workload among multiple machines. It tackles challenges such as scaling, fault tolerance, and parallel processing efficiently. Through a series of operations involving mappers and reducers, MapRedu

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This study delves into Byzantine Fault Tolerance (BFT) protocols in the realm of distributed ledgers, exploring the complexities of achieving consensus in trusted adversarial environments. The research examines the classic problem in computer science where distributed nodes communicate to reach agre

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Economic and technical aspects of Byzantine Fault Tolerance (BFT) protocols for achieving consensus in distributed ledger systems are explored. The discussion delves into the challenges of maintaining trust in adversarial environments and the strategies employed by non-Byzantine nodes to mitigate un

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Raft is a consensus algorithm designed for replicated state machines to ensure fault tolerance and reliable service in distributed systems. It provides leader election, log replication, safety mechanisms, and client interactions for maintaining consistency among servers. The approach simplifies oper

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Raft is a consensus algorithm designed for fault-tolerant replication of logs in distributed systems. It ensures that multiple servers maintain identical states for fault tolerance in various services like file systems, databases, and key-value stores. Raft employs a leader-based approach where one

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Fast and accurate fault detection and location are crucial in power grid management, especially in smart grids with bidirectional power flow. This study explores various fault location methods including impedance-based and travelling waves-based approaches. It also discusses the use of Intelligent E

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The Fault Localization (Pinpoint) project proposal aims to pinpoint the exact source of failures within a cloud NFV networking environment by utilizing a set of algorithms and APIs. The proposal includes an overview of the fault localization process, an example scenario highlighting the need for fau

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RAID 5 is a popular technology for managing multiple storage devices within a single array, providing fault tolerance through data striping and parity blocks. This article discusses the principles of fault tolerance in RAID 5, the calculation of parity blocks, handling degraded mode in case of disk

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Distributed software engineering plays a crucial role in modern enterprise computing systems where large computer-based systems are distributed over multiple computers for improved performance, fault tolerance, and scalability. This involves resource sharing, openness, concurrency, and fault toleran

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PSync is a language designed by Cezara Drăgoi, Thomas A. Henzinger, and Damien Zufferey to simplify the implementation and reasoning of fault-tolerant distributed algorithms. It introduces a DSL with key elements like communication-closed rounds, an adversary environment model, and efficient runtim

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This lecture covers the concept of Paxos and achieving consensus in distributed systems. It discusses the availability of P/B-based RSM, RSM via consensus, the context for today's lecture, and desirable properties of solutions. The analogy of the US Senate passing laws is used to explain the need fo

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Consensus algorithms play a vital role in distributed systems like Paxos. Paxos is a protocol that aims to achieve consensus among a majority of participants. It defines roles for nodes like proposers, acceptors, and learners, each serving a specific purpose in reaching agreement on a single value.

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State-of-the-art research on Janus protocol that aims to enhance distributed transactions by consolidating concurrency control and consensus mechanisms, minimizing wide-area round trips, and improving fault tolerance for commit operations. The protocol addresses latency and throughput limitations ca

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The discussion revolves around achieving consensus in the presence of dense Byzantine faults on an unknown torus. Various challenges and impossibility theorems are explored, highlighting the complexities of reaching an agreement in such fault-prone environments. The content delves into the limitatio

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This document provides an insightful introduction to consensus with the Raft algorithm, explaining its key concepts, including distributed system availability versus consistency, the importance of eliminating single points of failure, the need for consensus in building consistent storage systems, an

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Consensus in distributed systems involves getting multiple servers to agree on a state. The Raft Consensus Algorithm, designed by Diego Ongaro and John Ousterhout from Stanford University, aims to make achieving consensus easier compared to other algorithms like Paxos. Raft utilizes a leader-based a

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The Raft Consensus Protocol, introduced by Prof. Smruti R. Sarangi, offers a more understandable and easier-to-implement alternative to Paxos for reaching agreement in distributed systems. Key concepts include replicated state machine model, leader election, and safety properties ensuring data consi

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Addressing challenges in distributed systems, this study proposes a novel approach by combining PBFT and Raft consensus mechanisms to enhance scalability and fault tolerance. The research highlights the importance of secure data storage and identifies new attack mechanisms in today's digital landsca

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Strong consistency and the CAP theorem play a crucial role in the design and implementation of distributed systems. This content explores different consistency models such as 2PC, consensus, eventual consistency, Paxos, and Raft, highlighting the importance of maintaining ordering and fault-toleranc

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Exploring the intricacies of distributed systems and fault tolerance in online services, from black box implementations to centralized systems, sharding, and replication strategies. Dive into the advantages and shortcomings of each approach to data storage and processing.

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Explore the realm of Byzantine fault tolerance through protocols like State Machine Replication and HotStuff, discussing safety, liveness, forensic support, and the impact of Byzantine faults. Dive into decades of research on achieving fault tolerance and examining forensic support in the face of By

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Various fault localization techniques in software debugging are discussed, including black-box models, spectrum evaluation, comparison of artificial and real faults, failure modes, and design considerations. The importance of effective fault localization and improving fault localization tools is hig

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Ceph is a scalable, high-performance distributed file system designed for excellent performance, reliability, and scalability in very large systems. It employs innovative strategies like distributed dynamic metadata management, pseudo-random data distribution, and decoupling data and metadata tasks

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Google's Pregel is a large-scale graph-parallel distributed analytics framework designed for graph processing tasks. It offers high scalability, fault tolerance, and flexibility in expressing graph algorithms. Inspired by the Bulk Synchronous Parallel (BSP) model, Pregel operates in super-steps, ena

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Explore the intricacies of fault modeling and fault simulation in VLSI design, covering topics such as testing philosophy, role of testing in VLSI, technology trends affecting testing, fault types, fault equivalence, dominance, collapsing, and simulation methods. Understand the importance of testing

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This research discusses the design and implementation of FT-MRMPI for HPC clusters, focusing on fault tolerance and reliability in MapReduce applications. It addresses challenges, presents the fault tolerance model, and highlights the differences in fault tolerance between MapReduce and MPI. The stu

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Explore the advanced features of Hadoop Distributed File System (HDFS) including Highly Available NameNode setup, HA NameNode Failover, ZooKeeper lock management, HDFS Federation benefits, and Federated NameNodes scalability beyond heap size. Learn about ensuring fault tolerance, performance, and sc

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Explore the concept of fault tolerance in distributed systems, focusing on system design that can recover from failures. Learn about failure types, characteristics, and the importance of addressing specified behavior to ensure proper system operation. Discover how transient and persistent failures i

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Quantum error correction and fault tolerance are essential for realizing quantum computers due to the challenge of decoherence. Various approaches, including concatenated quantum error correcting codes and topological codes like the surface code, are being studied for fault-tolerant quantum computin

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This technical note delves into the impact of air gap tolerance on inductance tolerance in transformer manufacturing. It explains how controlling the core's air gap dimension is crucial for maintaining desired inductance levels within manufacturing constraints. The text discusses the small scale of

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Addressing the challenge of soft errors in supercomputers, this paper introduces algorithm-based fault tolerance methods to enhance the resilience of systems like BLIS. By integrating Application-Based Fault Tolerance (ABFT) into BLIS, the study aims to improve error detection and correction mechani

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This study focuses on enabling fault tolerance for stream machine learning through erasure coding. Fault tolerance is crucial in distributed environments due to worker failures, and existing approaches like reactive fault tolerance and proactive replication have drawbacks. The use of erasure coding

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