计算机网络课程的内容通常包括网络技术和协议，包括网络层、数据链路层、物理层和应用层, 本地网络（LAN）和广域网（WAN), 路由器和交换机, 网络安全和网络管理.
FIT3168 IT forensics – S2 2023 To complete this assessment you need to download the following memory dump file which is available via google drive. Please note that you must be logged in with your Monash email account on the browser you are using for this quiz to access the google drive. Make sure you […]
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15-440/15-640 Project 2 Project 2: The Raft Consensus Algorithm 1 Overview Important Dates: Please read all pages before writing code. Project release: Thursday, October 26, 2023 Checkpoint due: Monday, November 6, 2023 at 11:59pm Full project due: Thursday, November 16, 2023 at 11:59pm Submission limits: 15 Gradescope submissions per checkpoint In this project, you’ll implement
FIT3143 – ASSIGNMENT 2 ELECTRIC VEHICLE CHARGING GRID: OPERATED BY A DISTRIBUTED WIRELESS SENSOR NETWORK (WSN) Unit learning outcomes (LO) for this assignment: a) Design and develop parallel algorithms for various parallel computing architectures (LO3). b) Analyse and evaluate the performance of parallel algorithms (LO4). c) Apply technical writing and presentation to effectively communicate parallel
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ASSESSOR’S NAME: STUDENT’S DETAILS First name: Last name: Email address: Lab Group: Date of assessment: SUB-SECTION MAX. SCORE NOTE FOR EACH COLUMN BELOW: I) FULL OR MAXIMUM SCORE IS GIVEN IF THE CRITERIA IS MET. II) PARTIAL SCORE IS GIVEN IF THE CRITERIA IS NOT FULLY MET. III) ZERO SCORE IS GIVEN IF THE CRITERIA
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Frequent item set mining in E- commerce transaction logs Background: Frequent item set mining is a fundamental task in data mining. It involves identifying sets of items (or elements) that frequently occur together in a given dataset. This technique is widely used in various applications, including market basket analysis, recommendation systems, bioinformatics, and network analysis.
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Project 1: Distributed Bitcoin Miner 1 Overview This project will consist of the following two parts: • Part A: Implement the Live Sequence Protocol, a homegrown protocol for providing reliable communication with simple client and server APIs on top of the Internet UDP protocol. • Part B: Implement a Distributed Bitcoin Miner. Schedule: • Part
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Big Data Analytics Options on AWS Erik Swensson December 2014 Amazon Web Services – Big Data Analytics Options on AWS December 2014 Introduction The AWS Advantage in Big Data Analytics Amazon Redshift Amazon Kinesis Amazon Elastic MapReduce Amazon DynamoDB Application on Amazon EC2 Solving Big Data Problems Example 1: Enterprise Data Warehouse Example 2: Capturing
Project 2: Efficient Dense Matrix Multiplication This project weights 12.5% for your final grade (4 Projects for 50%) Release Date: October 11th£¬2023 (Beijing Time, UTC+08:00) Deadline: 11:59 P.M., October 27th, 2023 (Beijing Time, UTC+08:00) TA In Charge of This Assignment Mr. Yang Yufan for Parallel Program Implementation Mr. Liu Yuxuan for Profiling Prologue For the
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2023/10/10 03:26 Assignment 2 Assignment 2 Due No due date Points 100 Submitting an external tool Available until 13 Oct at 23:59 Handin Dates 25th of August at 5:00 pm – Submit a design sketch (https://myuni.adelaide.edu.au/courses/85272/assignments/344547) via Canvas (PDF) 16th of September at 5:00 pm – Submit draft revision 1 on Gradescope. Extended to 23rd
Home Lectures Labs Assessments Resources Problems Policies Help COMP2310 / Assessments / Assignment 2: Distributed Web Search Assignment 2: Distributed Web Search Implement a distributed inverted index using client-server programming On this page Outline Introduction Requirements System Overview Lab Specification Due date: 1 November 2023, 23:59 Mark weighting: 20% Submission: Submit your assignment through GitLab
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