Modern Operating Systems by Herbert Bos ...
Modern_Operating_Systems_by_Herbert_Bos_and_Andrew_S._Tanenbaum_4th_Ed.pdf-M ODERN O PERATING S YSTEMS
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Modern Operating Systems by Herbert Bos and Andrew...
Modern_Operating_Systems_by_Herbert_Bos_and_Andrew_S._Tanenbaum_4th_Ed.pdf-M ODERN O PERATING S YSTEMS
Modern Operating Systems by Herbert...
Modern_Operating_Systems_by_Herbert_Bos_and_Andrew_S._Tanenbaum_4th_Ed.pdf-M ODERN O PERATING S YSTEMS
Page 1066
SEC. 13.1
SUGGESTIONS FOR FURTHER READING
1035
Touch screens have become ubiquitous in a short time span. This article traces
the history of the touch screen through history with easy-to-understand explana-
tions and nice vintage pictures and videos. Fascinating stuff!
Walker and Cragon, ‘‘Interrupt Processing in Concurrent Processors’’
Implementing precise interrupts on superscalar computers is a challenging
activity. The trick is to serialize the state and do it quickly.
A number of the design
issues and trade-offs are discussed here.
13.1.6 Deadlocks
Coffman et al., ‘‘System Deadlocks’’
A short introduction to deadlocks, what causes them, and how they can be pre-
vented or detected.
Holt, ‘‘Some Deadlock Properties of Computer Systems’’
A discussion of deadlocks. Holt introduces a directed graph model that can be
used to analyze some deadlock situations.
Isloor and Marsland, ‘‘The Deadlock Problem: An Overview’’
A tutorial on deadlocks, with special emphasis on database systems.
A variety
of models and algorithms are covered.
Levine, ‘‘Defining Deadlock’’
In Chap. 6 of this book, we focused on resource deadlocks and barely touched
on other kinds.
This short paper points out that in the literature, various definitions
have been used, differing in subtle ways. The author then looks at communication,
scheduling, and interleaved deadlocks and comes up with a new model that tries to
cover all of them.
Shub, ‘‘A Unified Treatment of Deadlock’’
This short tutorial summarizes the causes and solutions to deadlocks and sug-
gests what to emphasize when teaching it to students.
13.1.7 Virtualization and the Cloud
Portnoy, ‘‘Virtualization Essentials’’
A gentle introduction to virtualization. It covers the context (including the rela-
tion between virtualization and the cloud), and covers a variety of solutions (with a
bit more emphasis on VMware).
Erl et al.,
Cloud Computing: Concepts, Technology & Architecture
A book devoted to cloud computing in a broad sense. The authors explain in


Page 1067
1036
READING LIST AND BIBLIOGRAPHY
CHAP. 13
detail what is hidden behind acronyms likeIAAS, PAAS, SAAS, and similar ‘‘X’’
As A Service family members.
Rosenblum and Garfinkel, ‘‘Virtual Machine Monitors: Current Technology and
Future Trends’’
Starting with a history of virtual machine monitors, this article then goes on to
discuss the current state of CPU, memory, and I/O virtualization. In particular, it
covers problem areas relating to all three and how future hardware may alleviate
the problems.
Whitaker et al., ‘‘Rethinking the Design of Virtual Machine Monitors’’
Most computers have some bizarre and difficult to virtualize aspects.
In this
paper, the authors of the Denali system argue for paravirtualization, that is, chang-
ing the guest operating systems to avoid using the bizarre features so that they need
not be emulated.
13.1.8 Multiple Processor Systems
Ahmad, ‘‘Gigantic Clusters: Where Are They and What Are They Doing?’’
To get an idea of the state-of-the-art in large multicomputers, this is a good
place to look.
It describes the idea and gives an overview of some of the larger
systems currently in operation. Given the working of Moore’s law, it is a reason-
able bet that the sizes mentioned here will double about every two years or so.
Dubois et al., ‘‘Synchronization, Coherence, and Event Ordering in Multiproces-
sors’’
A tutorial on synchronization in shared-memory multiprocessor systems. How-
ever, some of the ideas are equally applicable to single-processor and distributed
memory systems as well.
Geer, ‘‘For Programmers, Multicore Chips Mean Multiple Challenges’’
Multicore chips are happening—whether the software folks are ready or not.
As it turns out, they are not ready, and programming these chips offers many chal-
lenges, from getting the right tools, to dividing up the work into little pieces, to
testing the results.
Kant and Mohapatra, ‘‘Internet Data Centers’’
Internet data centers are massive multicomputers on steroids.
They often con-
tain tens or hundreds of thousands of computers working on a single application.
Scalability, maintenance, and energy use are major issues here.
This article forms
an introduction to the subject and introduces four additional articles on the subject.


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