Distributed network - PowerPoint PPT Presentation


Modeling and Generation of Realistic Network Activity Using Non-Negative Matrix Factorization

The GHOST project focuses on the challenges of modeling, analyzing, and generating patterns of network activity. By utilizing Non-Negative Matrix Factorization (NMF), realistic network activity patterns can be created and injected into live wireless networks. Understanding and predicting user behavi

4 views • 28 slides


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



Overview of Distributed Operating Systems

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.

0 views • 36 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


Understanding Distributed Mutual Exclusion in Operating Systems

In distributed systems, the problem of mutual exclusion arises when multiple sites/processes need to access shared resources concurrently. Unlike in single-computer systems, distributed systems lack shared memory, leading to the need for communication-based approaches rather than shared variables li

0 views • 49 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


Designing Distributed and Internet Systems

Learn about the design considerations for distributed and internet systems, including file server versus client/server environments, cloud computing trends, internet standards, and system development life cycle. Explore designing systems for local area networks (LANs) and the process of creating dis

2 views • 51 slides


Network Compression Techniques: Overview and Practical Issues

Various network compression techniques such as network pruning, knowledge distillation, and parameter quantization are discussed in this content. The importance of pruning redundant weights and neurons in over-parameterized networks is highlighted. Practical issues like weight pruning and neuron pru

0 views • 37 slides


Network Slicing with OAI 5G CN Workshop Overview

Overview of Network Slicing with OAI 5G CN workshop focusing on the crucial role of network slicing in realizing the service-oriented 5G vision. This workshop covers topics like multiple logical networks creation on shared infrastructure, different types of network slices, preparation and instantiat

1 views • 6 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


Understanding Snort: An Open-Source Network Intrusion Detection System

Snort is an open-source Network Intrusion Detection System (NIDS) developed by Cisco, capable of analyzing network packets to identify suspicious activities. It can function as a packet sniffer, packet logger, or a full-fledged intrusion prevention system. By monitoring and matching network activity

0 views • 23 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 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


Transportation Network Modeling and Analysis with C.Coupled SE Platform

This content outlines the features and functionalities of the C.Coupled SE Platform (CSET Platform) developed by the Connetics Transportation Group. It covers aspects such as interface design, inputs merging, purposes, platform development using Cube, TAZs merging, and network attributes. The platfo

0 views • 11 slides


Understanding Distributed Hash Tables in Peer-to-Peer Systems

Distributed Hash Tables (DHTs) are a fundamental component in organizing nodes in peer-to-peer networks. By using hash functions to assign keys to peers, DHTs enable efficient storage and retrieval of objects. Peers in a DHT are responsible for storing and managing key-value pairs, with each key bei

0 views • 31 slides


Understanding Network Time Protocol (NTP) for Clock Synchronization in Distributed Systems

Dive into the intricacies of Network Time Protocol (NTP) and its role in achieving precise clock synchronization in distributed systems. Explore concepts such as hierarchical organization of NTP servers, NTP protocol operation, and the significance of accurate time tracking for seamless system coord

1 views • 38 slides


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

0 views • 17 slides


Distributed Biconnectivity in Graph Analysis for Efficient Network Solutions

Graph biconnectivity is a crucial concept in network analysis, ensuring connectivity even when vertices are removed. Efficient distributed biconnectivity algorithms have practical applications in identifying single points of failure in networks. Leveraging previous work on Ice Sheet Connectivity, a

0 views • 35 slides


Challenges of Time Synchronization in Distributed Systems

Distributed systems face challenges in synchronizing physical time due to varying network paths and clock drifts. While physical time synchronization is useful for tasks like file timestamps, it involves complexities such as estimating communication latency and improving time estimation algorithms l

0 views • 30 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


Meridian: An SDN Platform for Cloud Network Services

Meridian is an SDN platform developed by Mohammad Banikazemi, David Olshefski, Anees Shaikh, John Tracey, and GuohuiWang at IBM T. J. Watson Research Center. The platform focuses on providing cloud network services efficiently. It encompasses an architecture that enables faster and more convenient n

0 views • 21 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 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


LD-Sketch: Distributed Sketching Design for Anomaly Detection in Network Data Streams

LD-Sketch is a novel distributed sketching design for accurate and scalable anomaly detection in network data streams, addressing challenges such as tracking heavy keys in real-time across a vast key space. By combining high accuracy, speed, and low space complexity, LD-Sketch enables efficient heav

0 views • 25 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


Understanding Network Analysis: Whole Networks vs. Ego Networks

Explore the differences between Whole Networks and Ego Networks in social network analysis. Whole Networks provide comprehensive information about all nodes and links, enabling the computation of network-level statistics. On the other hand, Ego Networks focus on a sample of nodes, limiting the abili

0 views • 31 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


Understanding Computer Networking Basics and Distributed Systems

Computer networks facilitate the sharing of devices and resources like servers, clients, and data, while distributed systems involve components located on different networked computers communicating to achieve common goals. Types of computer networks include LAN, PAN, MAN, and WAN. Distributed syste

0 views • 17 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


Understanding the Layers of Distributed Systems

This content delves into the intricacies of distributed systems, exploring concepts such as establishing communication with applications, managing channels for actual communication, bandwidth versus latency considerations, and the functions of physical, link, and network layers. From the physical la

0 views • 27 slides


Network Function Virtualization (NFV) Overview

Network Function Virtualization (NFV) focuses on virtualizing network functions to improve efficiency and reduce costs in network infrastructure. The lecture discusses key readings, devices that compose a network, specialization of devices, benefits of one-device-does-anything approach, and the goal

0 views • 21 slides


Enhancing Network Stability with Network Monitoring Systems

Network monitoring is crucial for efficient management and proactive issue detection in a network environment. Factors influencing an effective network system include choosing the best OEM, SLA agreements, and selecting a reliable System Integrator. Reactive monitoring can lead to financial losses a

0 views • 12 slides


Distributed Data Flow Language for Multi-Party Protocols

Exploring a Distributed Data Flow Language designed for Multi-Party Protocols, the research by Krzysztof Ostrowski, Ken Birman, and Danny Dolev from Cornell University and Hebrew University showcases innovative solutions for efficient data processing across distributed systems. The work highlights t

0 views • 165 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


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

0 views • 48 slides