Overview of Distributed Systems: Characteristics, Classification, Computation, Communication, and Fault Models
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
9 views • 126 slides
Understanding Byzantine Fault Tolerance in Distributed Systems
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
0 views • 29 slides
Understanding CS 394B: Blockchain Systems and Distributed Consensus
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
0 views • 65 slides
Expert Consensus Statement on Exercise for Type 2 Diabetes
This expert consensus statement provides an update on exercise recommendations for individuals with type 2 diabetes (T2D), emphasizing the benefits of physical activity in improving glycemic management, insulin sensitivity, cardiovascular health, and overall disease risk reduction. The document high
0 views • 16 slides
Understanding Parallel and Distributed Computing Systems
In parallel computing, processing elements collaborate to solve problems, while distributed systems appear as a single coherent system to users, made up of independent computers. Contemporary computing systems like mobile devices, IoT devices, and high-end gaming computers incorporate parallel and d
1 views • 11 slides
Understanding Remote Method Invocation (RMI) in Distributed Systems
A distributed system involves software components on different computers communicating through message passing to achieve common goals. Organized with middleware like RMI, it allows for interactions across heterogeneous networks. RMI facilitates building distributed Java systems by enabling method i
1 views • 47 slides
Distributed DBMS Reliability Concepts and Measures
Distributed DBMS reliability is crucial for ensuring continuous user request processing despite system failures. This chapter delves into fundamental definitions, fault classifications, and types of faults like hard and soft failures in distributed systems. Understanding reliability concepts helps i
0 views • 58 slides
Enhancing IoT Systems with Blockchain and Distributed Ledger Technologies
Explore the potential of blockchain and distributed ledger technologies in enhancing IoT systems, focusing on privacy, security, and safety. The workshop discusses the benefits and challenges of implementing DLT, as well as a reference IoT scenario in the manufacturing industry. Discover how DLT ena
0 views • 16 slides
Economic Models of Consensus on Distributed Ledgers in Blockchain Technology
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
0 views • 34 slides
Distributed Consensus Models in Blockchain Networks
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
0 views • 34 slides
Raft Consensus Algorithm Overview for Replicated State Machines
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
0 views • 32 slides
Understanding Blockchains: Solving Trust Issues in Distributed Systems
Blockchains, as explained by John Kelsey from NIST, are essential for achieving mutual agreement in distributed systems without complete trust among participants. The analogy of chess-by-mail illustrates the need for consensus on the state of the board, similar to how blockchains ensure agreement on
2 views • 34 slides
Distributed Algorithms for Leader Election in Anonymous Systems
Distributed algorithms play a crucial role in leader election within anonymous systems where nodes lack unique identifiers. The content discusses the challenges and impossibility results of deterministic leader election in such systems. It explains synchronous and asynchronous distributed algorithms
2 views • 11 slides
Raft Consensus Algorithm Overview
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
0 views • 34 slides
Exploring GASPER and LMD-GHOST in Blockchain Consensus Protocols
Delve into the world of blockchain consensus with GASPER and LMD-GHOST, two innovative approaches combining safety and liveness properties. Learn about GHOST, Casper FFG, and the progress made in achieving probabilistic safety and liveness in distributed systems.
0 views • 33 slides
Understanding the Chubby Lock Service for Distributed Systems
The Chubby Lock Service, based on the research by Mike Burrows from Google, provides a mechanism for synchronizing activities in loosely-coupled distributed systems. It allows clients to agree on basic information, such as choosing a leader, with the help of advisory locks and event notifications. T
0 views • 38 slides
Overview of Distributed Systems, RAID, Lustre, MogileFS, and HDFS
Distributed systems encompass a range of technologies aimed at improving storage efficiency and reliability. This includes RAID (Redundant Array of Inexpensive Disks) strategies such as RAID levels, Lustre Linux Cluster for high-performance clusters, MogileFS for fast content delivery, and HDFS (Had
0 views • 23 slides
Distributed Software Engineering Overview
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
0 views • 66 slides
Understanding Paxos and Consensus in Distributed Systems
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
0 views • 46 slides
Challenges in Detecting and Characterizing Failures in Distributed Web Applications
The final examination presented by Fahad A. Arshad at Purdue University in 2014 delves into the complexities of failure characterization and error detection in distributed web applications. The presentation highlights the reasons behind failures, such as limited testing and high developer turnover r
0 views • 53 slides
Google Spanner: A Distributed Multiversion Database Overview
Represented at OSDI 2012 by Wilson Hsieh, Google Spanner is a globally distributed database system that offers general-purpose transactions and SQL query support. It features lock-free distributed read transactions, ensuring external consistency of distributed transactions. Spanner enables property
0 views • 27 slides
Understanding Consensus Algorithms in Paxos
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.
0 views • 24 slides
Understanding the CAP Theorem in Distributed Systems
The CAP Theorem, as discussed by Seth Gilbert and Nancy A. Lynch, highlights the tradeoffs between Consistency, Availability, and Partition Tolerance in distributed systems. It explains how a distributed service cannot provide all three aspects simultaneously, leading to practical compromises and re
0 views • 28 slides
Understanding Distributed Hash Table (DHT) in Distributed Systems
In this lecture, Mohammad Hammoud discusses the concept of Distributed Hash Tables (DHT) in distributed systems, focusing on key aspects such as classes of naming, Chord DHT, node entities, key resolution algorithms, and the key resolution process in Chord. The session covers various components of D
0 views • 35 slides
Distributed Database Management and Transactions Overview
Explore the world of distributed database management and transactions with a focus on topics such as geo-distributed nature, replication, isolation among transactions, transaction recovery, and low-latency maintenance. Understand concepts like serializability, hops, and sequence number vectors in ma
0 views • 17 slides
Byzantine Faults and Consensus on Unknown Torus
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
0 views • 23 slides
Understanding Distributed Ledger Technology Concepts
Distributed Ledger Technology (DLT) involves core concepts like assets, ledgers, transactions, states, conditions, and inferences. It also includes distributed ledgers, cryptographic hash functions, construction of a blockchain, consensus mechanisms like proof of work, and examples of applications s
0 views • 27 slides
An Introduction to Consensus with Raft: Overview and Importance
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
0 views • 20 slides
The Raft Consensus Algorithm: Simplifying Distributed Consensus
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
0 views • 26 slides
Understanding the Raft Consensus Protocol
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
0 views • 27 slides
Enhancing Distributed Consensus: Combining PBFT and Raft for Improved Security
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
0 views • 11 slides
Understanding Strong Consistency and CAP Theorem in Distributed Systems
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
0 views • 29 slides
Comparison of Economic Reform Sequencing in China
Andrew K. Rose from NUS Business School compares China's economic reform sequencing with the Washington Consensus. The optimal reform sequencing includes stabilization before reform, real before financial reform, and domestic before international reform. China's approach aligns oddly with the Washin
0 views • 14 slides
Nordic LCA/PEF Consensus Seminar and Report 2016: Insights and Progress
Nordic Environmental Footprint Group (NEF) is a key Nordic authority cooperation group under the Nordic Council of Ministers dedicated to discussing and exchanging viewpoints on EU Commission testing and uses of Product and Organizational Environmental Footprint. Through workshops and seminars, NEF
0 views • 16 slides
Distributed Computing Systems Project: Distributed Shell Implementation
Explore the concept of a Distributed Shell in the realm of distributed computing systems, where commands can be executed on remote machines with results returned to users. The project involves building a client-server setup for a Distributed Shell, incorporating functionalities like authentication,
0 views • 14 slides
Distributed Consensus and Coordination in Hardware Birds of a Feather Session
Specialists in distributed consensus and hardware coordination gathered at Middleware 18 for a session hosted by Zsolt István and Marko Vukoli. The session covered topics such as specialized hardware, programmable switches and NICs, P4 language for expressing forwarding rules, and deployment exampl
0 views • 33 slides
Overview of Ceph Distributed File System
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
0 views • 42 slides
Overview of Ceph: A Scalable Distributed File System
Ceph is a high-performance distributed file system known for its excellent performance, reliability, and scalability. It decouples metadata and data operations, leverages OSD intelligence for complexity distribution, and utilizes adaptive metadata cluster architecture. Ceph ensures the separation of
0 views • 23 slides
Perspectives on Democratic Institutions: Majoritarian vs. Consensus Vision
Democratic institutions have consequential impacts on political representation, economic policy, ethnic conflict, and democratic survival. Two distinct visions, majoritarian and consensus, shape the distribution of power in governance. The majoritarian vision concentrates power in the hands of the m
0 views • 112 slides
Distributed Transaction Management in CSCI 5533 Course
Exploring transaction concepts and models in distributed systems, Team 5 comprising Dedeepya, Dodla, Ehtheshamuddin, and Hari Kishore under the guidance of Dr. Andrew Yang delve into the intricacies of distributed transaction management in CSCI 5533 Distributed Information Systems.
0 views • 56 slides