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
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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
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Enhanced Security in Multiparty Computation
Explore the improved black-box constructions of composable secure computation, focusing on definitions, objectives, and the formalization basics of multiparty computation (MPC). Learn about the motivating security aspects in MPC and the real/ideal paradigm. Discover how MPC security involves compari
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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
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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
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Secure Computation Techniques in RAM Models with Efficient Automation
Explore the automation of efficient RAM-model secure computation techniques, including examples such as secure binary search. Discover how traditional solutions using circuit abstractions can be improved for sub-linear time computation through methods like Oblivious RAM. Learn about techniques such
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Secure Multiparty Computation for Department of Education Data Sharing
This report discusses the use of Secure Multiparty Computation (SMC) to enable sharing of sensitive Department of Education data across organizational boundaries. The application of SMC allows for joint computation while keeping individual data encrypted, ensuring privacy and security within the Nat
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Advancements in Active Secure Multiparty Computation (MPC)
Delve into the realm of secure multiparty computation under 1-bit leakage, exploring the intersection of DP algorithms, MPC, and the utilization of leakage for enhanced performance. Discover the overhead implications of achieving active security, as well as the evolution of secure computation protoc
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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
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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
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COMET: Code Offload by Migrating Execution - OSDI'12 Summary
The research paper discusses COMET, a system for transparently offloading computation from mobile devices to network resources to improve performance. It outlines the goals of COMET, its design, and evaluation, focusing on distributed shared memory and bridging computation disparity through offloadi
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Actively Secure Arithmetic Computation and VOLE Study
Exploring actively secure arithmetic computation and VOLE with constant computational overhead at Tel Aviv University. Understanding how functions are represented in secure computation using arithmetic circuits over boolean circuits. Efficiently evaluating arithmetic circuits over large finite field
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Distributed Graph Algorithms: Introduction and Tree Coloring
This class introduces the fundamentals of distributed graph algorithms focusing on network modeling, complexity measures, solving graph problems, and comparing distributed vs. centralized algorithms. It covers topics such as the LOCAL model, synchronous rounds, communication rounds, computation time
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Enhancing Multi-Party Computation Efficiency Through ORAM Techniques
Explore the realm of efficient random access in multi-party computation through the reevaluation of classic schemes and the introduction of new approaches. Discover the potential of ORAM in improving performance and reducing costs in various computational tasks, such as secure multi-party computatio
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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
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Exploring Secure Computation in the Age of Information
Welcome to Secure Computation Lecture 1 by Arpita Patra. The course covers evaluation policies, projects, and references in the realm of secure computation. The content delves into the significance of information security across various sectors, emphasizing the importance of safeguarding sensitive d
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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
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Secure Two-Party Computation and Basic Secret-Sharing Concepts
In today's lecture of "Foundations of Cryptography," the focus is on secure two-party and multi-party computation, emphasizing semi-honest security where Alice and Bob must compute without revealing more than necessary. Concepts such as real-world vs. ideal-world scenarios, the existence of PPT simu
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Linear Communication in Secure Multiparty Computation for Efficient and Fast Processing
The research focuses on achieving perfectly secure multiparty computation (MPC) with linear communication and constant expected time. It explores efficient approaches using a broadcast-hybrid model and P2P communication, aiming to balance speed and efficiency in MPC. The study highlights the importa
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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
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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
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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
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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
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Communication Costs in Distributed Sparse Tensor Factorization on Multi-GPU Systems
This research paper presented an evaluation of communication costs for distributed sparse tensor factorization on multi-GPU systems. It discussed the background of tensors, tensor factorization methods like CP-ALS, and communication requirements in RefacTo. The motivation highlighted the dominance o
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Secure Computation Challenges and Solutions in Data Mining
Exploring the intersection of secure computation and data mining, this content uncovers key challenges such as improving algorithms, converting programs for secure computation, and addressing parallelizability issues. It highlights the importance of cryptography in ensuring data privacy and presents
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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
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Covert Computation: Ensuring Undetectable Engagement
Covert computation aims to conceal the fact that computation is occurring and hide engagement in certain tasks like secure computation, authenticated key exchange, and more. By making messages indistinguishable and utilizing steganographic channels, it becomes possible to keep the activities covert
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Overview of Turing Machines: Introduction, Tape, and Computation
Turing Machines are fundamental in the theory of computation, capable of recognizing all computable languages. They consist of a Finite State Machine combined with an infinite tape. The tape is initialized with input on the left end, and a TM's computation can either halt by entering special accept
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Computation for Real Estate Sector in Bangalore Branch of ICAI
Practical overview of GST computation for real estate transactions in Bangalore, with details on old rates with ITC and new rate regime effective from April 1, 2019. The content discusses different transactions, conditions for new rates without ITC, and provides insights on the 80:20 computation met
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Fides: A System for Verifiable Computation Using Smart Contracts
Fides presents a system for verifiable computation using smart contracts, focusing on blockchain basics, Ethereum, smart contracts, and outsourcing computation. It explores key components of blockchain, Ethereum's decentralized computing platform, properties of smart contracts, and the concept of ve
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Insights into Secure Computation with Minimal Interaction
This paper revisits the concept of secure computation with minimal interaction, focusing on the challenges and possibilities of achieving secure multiparty computation in 2 rounds. Specifically exploring scenarios with 3 and 4 parties, the study delves into the reasons for choosing n=3, n=4, and t=1
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Overview of Income Computation and Disclosure Standards (ICDS)
The Income-tax Act, 1961 introduced Income Computation and Disclosure Standards (ICDS) to be followed by certain assesses for computation of income. ICDS applies to taxpayers using the mercantile system of accounting from the Assessment Year 2016-17 onwards. Non-compliance with ICDS can lead to Best
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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,
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Blackbox Verifiable Computation Scheme Overview
This summarized content discusses the concept of blackbox verifiable computation, focusing on the challenges faced by clients and servers, the role of helper oracles, positive results utilizing homomorphic encryption, and background information on Random Self Reducible (RSR) functions. The protocol
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Parallel Computation for Matrix Multiplication
Matrix multiplication is a fundamental operation with diverse applications across scientific research. Parallel computation for matrix multiplication involves distributing the computational workload over multiple processors, improving efficiency. Different algorithms have been developed for multiply
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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
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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
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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.
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Concurrency Control and Coordinator Election in Distributed Systems
This content delves into the key concepts of concurrency control and coordinator election in distributed systems. It covers classical concurrency control mechanisms like Semaphores, Mutexes, and Monitors, and explores the challenges and goals of distributed mutual exclusion. Various approaches such
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Quantum Distributed Proofs for Replicated Data
This research explores Quantum Distributed Computing protocols for tasks like leader election, Byzantine agreement, and more. It introduces Quantum dMA protocols for verifying equality of replicated data on a network without shared randomness. The study discusses the need for efficient protocols wit
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