COPE-04 Data Structures.indd 23 9 D at a S tr u ct u re s © 2 0 2 1 U w e R . Z im m er , T h e A u st ra li an N at io n al U n iv er si ty p ag e 2 3 […]
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COMP2300/6300 Final Exam 2018 Student ID: u Reading time: 15 minutes Writing time: 180 minutes Permittedmaterials: one A4 page with notes on both sides Make sure you read eachquestion carefully. Somewords have footnotes1 to clarify what they mean in the context of the question. Questions are not equally weighted, and the size of the answer
single.dvi 14 Interlude: Memory API In this interlude, we discuss the memory allocation interfaces in UNIX systems. The interfaces provided are quite simple, and hence the chapter is short and to the point1. The main problem we address is this: CRUX: HOW TO ALLOCATE AND MANAGE MEMORY In UNIX/C programs, understanding how to allocate and
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single.dvi 56 Protecting Information With Cryptography Chapter by Peter Reiher (UCLA) 56.1 Introduction In previous chapters, we’ve discussed clarifying your security goals, determining your security policies, using authentication mechanisms to identify principals, and using access control mechanisms to enforce poli- cies concerning which principals can access which computer resources in which ways. While we identified
COPE-04 Data Structures.indd 4 Data Structures Uwe R. Zimmer – The Australian National University Computer Organisation & Program Execution 2021 Data Structures © 2021 Uwe R. Zimmer, The Australian National University page 234 of 487 (chapter 4: “Data Structures” up to page 253) References for this chapter [Patterson17] David A. Patterson & John L. Hennessy
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single.dvi G Laboratory: Systems Projects NOTE: Projects are slowing being added to https://github.com/ remzi-arpacidusseau/ostep-projects, which includes project descriptions and a simple testing framework. Please be sure to check that out if interested. This chapter presents some ideas for systems projects. We usually do about six or seven projects in a 15-week semester, meaning one every
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single.dvi 13 The Abstraction: Address Spaces In the early days, building computer systems was easy. Why, you ask? Because users didn’t expect much. It is those darned users with their expectations of “ease of use”, “high performance”, “reliability”, etc., that really have led to all these headaches. Next time you meet one of those computer
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single.dvi 39 Interlude: Files and Directories Thus far we have seen the development of two key operating system ab- stractions: the process, which is a virtualization of the CPU, and the ad- dress space, which is a virtualization of memory. In tandem, these two abstractions allow a program to run as if it is in
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single.dvi 10 Multiprocessor Scheduling (Advanced) This chapter will introduce the basics of multiprocessor scheduling. As this topic is relatively advanced, it may be best to cover it after you have studied the topic of concurrency in some detail (i.e., the second major “easy piece” of the book). After years of existence only in the high-end
single.dvi 9 Scheduling: Proportional Share In this chapter, we’ll examine a different type of scheduler known as a proportional-share scheduler, also sometimes referred to as a fair-share scheduler. Proportional-share is based around a simple concept: instead of optimizing for turnaround or response time, a scheduler might instead try to guarantee that each job obtain a
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