云计算课程学习内容包括了云基础架构，虚拟化技术，容器技术，云存储，服务器虚拟化，自动化运维等等。过往代写案例大部分云计算平台用的是Amazon的AWS, 少部分用到Google Cloud.
A walkthrough Computer Science Tutoring • Emulate a link layer and a network layer protocol • 2 Independent Sections –Go Back N (link layer) –Distance Vector Protocol (network layer) •Will combine the 2 sections such that both algorithms working in tandem • Implement the Go-Back-N (GBN) protocol on top of UDP to guarantee that all […]
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MSML 650: Cloud Computing Fall 2023 Project Ideas 1. Compare and contrast no-SQL databases In this project, you will study and use/test different no-SQL databases: • DynamoDB (https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction. html) • MongoDB (https://docs.mongodb.com/) • Cassandra (http://cassandra.apache.org/doc/latest/) Use the above docs (and possibly other sources, books or online) to learn about the above no- SQL database solutions,
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Introduction to Computer Security – G6077 Weighting: 50% of marks for the module Version Information: Version 1, Oct 2023 Submission deadline: Check deadline on Sussex direct. e-submission to Canvas You must work on this assignment on your own. The standard Informatics rules for collusion, plagiarism and lateness apply. Any cases of potential misconduct discovered will
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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
COMP603/ENSE600 Program Design & Construction / Software Construction – Assessment Software Development Project 2 2023 Semester 2 Introduction …………………………………………………………………………………………………………………………………………2 Important dates…………………………………………………………………………………………………………………………………….2 Overview of the Assessments ……………………………………………………………………………………………………………….2 Requirements of Assignment 2……………………………………………………………………………………………………………..2 ChatGPT …………………………………………………………………………………………………………………………………………….. 3 Project Code Submission ……………………………………………………………………………………………………………………..4 Important Notes …………………………………………………………………………………………………………………………………..4 Marking Guideline – Assessment 2……………………………………………………………………………………………………….6 Computer Science Tutoring Introduction In Assignment 2, you/your group will
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COMPX527 – Technology Assessment Report Total Marks: 20 Due: 11 October 2023 Objectives The main objectives of this assignment are as follows: • Gain experience preparing a technology assessment report • Understand cloud data security and cloud application security requirements • Understand legal and compliance concerns of cloud computing You have joined a company that
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RMIT Classification: Trusted COSC 2637/2633 Big Data Processing Assignment 2 – Handling Big Data with Apache Pig Due Date 23:59, 24 Sep Marks 25 Write Apache Pig scripts which give you a chance to develop a basic understanding of principles when handling queries on large data stored on HDFS. Learning Outcomes The key course learning
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COMP5216/4216 Mobile Computing 2023S2 Assignment 2 – Develop a media recording app Total: 5 marks Due date: 11.59 pm 24th September 2023 Submission: 1. Submit all project files as one zipped file. 2. A one-page document explaining the cloud synchronisation strategies. 3. Record a demo of your project and upload to canvas. Your tutor may
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Preliminaries and Lecture 1 CS6033 Homework Assignment∗1 Due Sunday, September 17th at 11:00 p.m. No late assignments accepted Turn in this assignment as a PDF file on Gradescope. All answers must be typed onto Gradescope in the designated text box. If any question requires supplementary material as part of the answer, you will be given
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As an ESG data engineer, you will support our users by bringing the required data into Snowflake. 1. DATA RETRIEVAL Data will be retrieved from http://data.footprintnetwork.org/#/api 2. DESIGN PIPELINE ARCHITECTURE Propose a high-level AWS architecture schema for the ingestion pipeline. Requirements: • Triggering system (schedule, API, …) • Raw data must be stored in a