Concurrency for Software Development Presented by Dr. Shuaiwen Leon Song USYD Future System Architecture Lab (FSA) https://shuaiwen-leon-song.github.io/ Tips for students joining online – Remember that you are still in a space with other students. – Mute your microphone when not speaking. – Use earphones or headphones – the mic is better and you’ll disturb others […]
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Lecture 1: Introduction Introduction Agents and Multi-Agent Systems 1 Basics Lecturer: Dr. plus Prof. (1 class) Time: Tuesdays 900 – 1200 weekly except reading week Classes: Each is a mix of lecture and tutorial Materials: Slides, useful links, etc. all on KEATS (soon) Assessment: 100% multiple choice exam in January Questions: Use the KEATS discussion
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Cloud Computing INFS3208/INFS7208 Re-cap – Lecture 7 • Database Background • Relational Data Bases – Revisit Relational DBs – ACID Properties * – Clustered RDBMs • Non-relational Data Bases – NoSQL concepts – CAP Theorem *** – MongoDB – Cassandra – HBase CRICOS code 00025B 2 Outline • Background of Distributed File Systems – Big
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Cloud Computing INFS3208 Recap • Cloud Delivery Models • Cloud Deploy Models • Cloud-EnablingTechnologies – Broadband Networks and Internet Architecture – Virtualisation Technology (VT) – Data Centre Technology – Web Technology – Multitenant Technology • Goals and Benefits • Risks and Challenges • Cloud-based Applications in the World CRICOS code 00025B 2 18/08/2021 2 Outline
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2 Cloud Computing INFS3208 Updates: On-Campus Teaching&Learning • Carry a mask with you at all times. • Masks must be worn – indoors* even when physical distancing is possible (unless alone) and outdoors if you cannot physically distance from others. This includes libraries, retail outlets, buses, work spaces and research and teaching environments. Masks can
Recap – Course Structure This course includes 13 lectures and 10 tutorial/practical sessions Lecture 1 Introduction Lecture 2 Adv. topics&appl Lecture 3 Networks & Load Balancing Concepts Orchestration Storage Computation Others Programming and Linux experiences required! Lecture 4 VT: Docker I Lecture 5 VT: Docker II Lecture 6 VT: Docker III Lecture 7 DBs in
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Consensus Mechanisms This week, we are going to look at some different mechanisms by which a collection of agents can reach consensus on some question. There are three parts to the lecture: – Part A is an Introduction given by me – Part B is Voter Models (aka Flag Colouring) given by Dr
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6CCS3AIN Week 10: AI and Ethics: Tutorial Questions and Solutions Q1. In the lectures, we mention that for model-driven (or symbolic) AI systems it is usually straightforward to generate explanations of the reasoning used by the AI system in each particular case where the system is applied. An expert system which uses IF-THEN rules is
Outline Software agents Agent Communication Languages (ACLs) Syntax of ACLs Semantics of ACLs Dialog Game Protocols Machine Languages 2 Software Agents We are on the verge of a revolution . . . Computational devices and systems will soon be: – Everywhere – Interconnected – Always active – Intelligent and
Introduction This is Part C of the lecture for Week 9. The topic for this week is consensus mechanisms, which are an important part of automated decision-making in decentralized and distributed systems. In this lecture, we look at the type of mechanisms used to reach consensus in Blockchain systems, as in the