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Operating Systems: Internals and Design Principles, 6/e

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TLDR
This book presents the nature and characteristics of modern-day operating systems clearly and completely, and serves as both a basic reference and an up-to-date survey of the state of the art.
Abstract
Serving as both a basic reference and an up-to-date survey of the state of the art, this book covers the concepts, structure, and mechanisms of operating systems. Stallings presents the nature and characteristics of modern-day operating systems clearly and completely. Updated treatment of Windows as a case study to cover Windows Vista. Online animations with references incorporated throughout. A new chapter on Embedded Operating Systems. Part Six (Distributed Systems and Security) moved online, reducing the cost and size of the book without loss of content. Expanded coverage of security. New figures added, with many existing figures updated to enhance clarity. A useful reference for programmers, systems engineers, network designers and others involved in the design of computer products, information system and computer system personnel.

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Proceedings ArticleDOI

Generating Efficient Distributed Deadlock Avoidance Controllers

TL;DR: This paper shows that the algorithm for computing acyclic annotations is complete, and shows that, given a cyclic annotation and a fixed set of resources, checking whether deadlocks are reachable is NP-complete.
Proceedings ArticleDOI

Towards a more reliable and robust Cloud Meta-Operating System based on heterogeneous kernels: A novel approach based on containers and microservices

TL;DR: This work proposes the architecture of a Meta-OS based on heterogeneous monolithic kernels in order to ensure reliability and performance and two contemporary technologies are used to implement this solution: Virtualization (hardware and OS based) and Web Services.

Machine Perception and Learning from the Evolutionary Viewpoint: The Hyperball Algorithms (Take Two)

Vlad Wojcik, +1 more
TL;DR: A set of highly parallel (fine grain), general pattern classification algorithms aimed at mimicking pattern identification, classification and learning skills of animals and using only the basic concepts of mathematics: set theory and theory of metric spaces is presented.

Model-Based Design and Adaptive Scheduling of Distributed Real-Time Systems

TL;DR: A modular real-time scheduler based on a novel search-tree pruning technique, which consumes less time (compared to the state-of-the-art) in order to schedule tasks on large distributed time-triggered systems and extends to provide end-to-end guarantees.

Utility driven grid scheduling framework

TL;DR: Results achieved are significantly improved in terms of job execution control, capable of increasing resource utilization and achieving significant runtime reduction (up to 50%), and each job submission is being tailored specifically to an individual user and their respective job, delivering significantly higher QoS to the user.