Although computer networks are inherently parallel systems, the parallel execution of network simulations on interconnected processors frequently yields only limited benefits. In this thesis, methods are proposed to estimate and understand the parallelization potential of network simulations. Further, mechanisms and architectures for exploiting the massively parallel processing resources of modern graphics cards to accelerate network simulations are proposed and evaluated.

Although computer networks are inherently parallel systems, the parallel execution of network simulations on interconnected processors frequently yields only limited benefits. In this thesis, methods are proposed to estimate and understand the parallelization potential of network simulations. Further, mechanisms and architectures for exploiting the massively parallel processing resources of modern graphics cards to accelerate network simulations are proposed and evaluated. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing. - Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing - Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more - Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery - Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online

Provides a broad working knowledge of all the major security issues affecting today's enterprise IT activities. Multiple techniques, strategies, and applications are examined, presenting the tools to address opportunities in the field. For IT managers, network administrators, researchers, and students.

Papers from the October 1996 symposium combine perspectives on architecture applications and systems, with special focus on future systems concepts, especially petaflops computing. Includes sections on scheduling and routing, applications and algorithms, petaflops computing and point design studies, SIMD, I/O techniques, memory management, synchronization, networks, and performance analysis. Specific subjects include a quasi-barrier technique to improve performance of an irregular application, hardware-controlled prefeching in directory-based cache coherent systems, and point designs for 100 TF computers using PIM technologies. No index. Annotation copyrighted by Book News, Inc., Portland, OR.

Over the past two decades, there has been a huge amount of innovation in both the principles and practice of operating systems Over the same period, the core ideas in a modern operating system - protection, concurrency, virtualization, resource allocation, and reliable storage - have become widely applied throughout computer science. Whether you get a job at Facebook, Google, Microsoft, or any other leading-edge technology company, it is impossible to build resilient, secure, and flexible computer systems without the ability to apply operating systems concepts in a variety of settings. This book examines the both the principles and practice of modern operating systems, taking important, high-level concepts all the way down to the level of working code. Because operating systems concepts are among the most difficult in computer science, this top to bottom approach is the only way to really understand and master this important material.

Since Professor Hoare's book Communicating Sequential Processes was first published, his notation has been extensively used for teaching and applying concurrency theory. The most significant development since then has been the emergence of tools to support the teaching and industrial application of CSP. This has turned CSP from a notation used mainly for toy examples into one which can and does support the description of industrial-sized problems. In order to understand the tools you need a good grasp of the fundamental concepts of CSP, therefore the book is, in the first instance, a text on the principles of the language rather than being a manual on how to apply its tools. The Theory and Practice of Concurrency is divided into 3 sections. Part I is a foundation course on CSP, covering essentially the same material as the Hoare book, except that most of the mathematical theory has been omitted. It introduces the ideas behind the operational, denotational and algebraic models of CSP. Parts II and III go into more detail about the theory and practice of CSP. Either of them would make a one semester course or though they are independent of each other. This book assumes no mathematical knowledge except for a basic understanding of sets, sequences and functions. Part I and III use no sophisticated mathematics, and the extra amount needed for Part II is contained within Appendix A (which introduces the theory of partial order and metric/restriction spaces). The book brings substantial new insights into the important subjects of computer security, fault tolerance, real-time modelling, communications protocols and distributed databases. Each of these is supported by a case study and guidance on how to apply automated analysis to verify systems.