Operating Systems Lecture 5b Dr Ronald Grau School of Engineering and Informatics Spring term 2020 Previously 1 Process Synchronisation Inter-Process Communication Race conditions Communication models Critical section Software vs. Hardware solutions Condition synchronisation Recap: Synchronisation 2 Questions What are mechanisms with which processes can communicate with each other? […]
Processes Operating Systems Lab Class 2 This lab is about processes. We will use the Linux operating system, which is a unix-style operating system. We can trace its lineage1 back to Multics via Minix2 (which was written by A. Tanenbaum, the author of our textbook). There are plenty of variants of Linux, which all use
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Last name: ________________ First name: _______________ username: __________ CS 061 – Computer Org. & Assembly Language Finalexam –Friday12/9 Time: 3 hours Fall – 2011 total100points Fill in your personal details on the front page, and on all pages of Section II You may have on your desks ONLY this exam, your personalized multiple choice answer
_This is not a lab, nor is it anything specific to writing compilers, but rather a guide to help you debug programs. You should not spend too much time going through this document in a lab session._ It is inevitable that you will bump into bugs in your code (eg: random segmentation faults). It is
Advanced Software Engineering Week 1 – Introduction Lecturer: Dr. Hana Chockler (c) 2007 Mauro Pezzè & Michal Young Ch 1, slide 1 Course assessment • Exam counts towards 100% of your mark – 3 out of 3 questions – 2 hours – questions are either bookwork, taken from the tutorials, or like the questions in
7CCSMBDT – Big Data Technologies Week 9 Grigorios Loukides, PhD (grigorios.loukides@kcl.ac.uk) Spring 2016/2017 1 Today More algorithms for streams: (1) Filtering a data stream: Bloom filters Select elements with property x from stream (2) Counting distinct elements: Flajolet-Martin Number of distinct elements in the last k elements of the stream
Designing and Building Secure Software Slide deck courtesy of Prof. Michael Hicks, University of Maryland, College Park (UMD) Making secure software • Making secure software Flawed approach: Design and build software, and ignore security at first Add security once the functional requirements are • satisfied • Making secure software Flawed approach: Design and build software,
Model based testing (c) 2007 Mauro Pezzè & Michal Young Ch 14, slide 1 Learning Objectives • Understand the role of models in devising test cases • Principles underlying functional and structural test adequacy criteria, as well as model-based testing • Understand some examples of model-based testing techniques • A few of the most common
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Finite Models (c) 2007 Mauro Pezzè & Michal Young Ch 5, slide 1 Learning objectives • Understand goals and implications of finite state abstraction • Learn how to model program control flow with graphs • Learn how to model the software system structure with call graphs • Learn how to model finite state behavior with
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Dependence and Data Flow Models (c) 2007 Mauro Pezzè & Michal Young Ch 6, slide 1 Why Data Flow Models? • Models from Chapter 5 emphasized control • Control flow graph, call graph, finite state machines • We also need to reason about dependence • Where does this value of x come from? • What
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