Practical Unix & Internet Security, 3rd Edition

Transactions of the world's most important business runs on a Unix machine, which means the machines running those transactions attract evildoers. In addition, many machines have Internet connections, which means it is always possible that some malicious remote user will find its way into the third edition of Practical Unix & Internet Security contains - to a greater extent even than the famous ancestor of all large-amount policies accumulated about how to protect Internet-connected Unix machines from intrusion and other forms of attack. This book is fat with practical advice on specific defensive measures (to defeat known attacks) and generally wise policies (to prevent people who have not been found). Authors approach to Unix security is holistic and clever, they devote much space to the security philosophy to advice about closing TCP ports and disable unnecessary services. 

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Data Structures and Algorithm Analysis in C++, Third Edition

A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses  in algorithmic analysis.

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Advanced Data Structures

Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of the data structure as a special topic in applied algorithms. Data structures are how data is stored in the computer, and how people can go about looking for data within. This text discusses efficient ways to find and update the set of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or a piece-wise constant functions, orthogonal range search structures, piles, union-find structure , dynamization and persistence of structures, structures for strings, and hash tables. 

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C++ Plus Data Structures, Third Edition

C + + Plus Data Structures is designed for the course Data Structures where C + + is a programming language. The authors emphasize the theory of computer science and software engineering principles, including modularization, data encapsulation, information hiding, data abstraction, object-oriented decomposition, functional decomposition, analysis algorithms, and methods of life-cycle software engineering verification. 

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Practical Data Structures in C++

C + + is a language that the up-and-coming 90's major real-world problems provides an elegant way to code algorithms and data structures and solve. All the elements needed to implement algorithms or data structures will be completely closed so that readers can use the material directly. 

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Data Structures and Problem Solving Using C++

Data Structures and Problem Solving Using C + + provides introductory data structures and algorithms from the viewpoint of abstract thinking and problem solving, and the use of C + +. C + + allows programmers to write the interface and implementation separately, to place them in separate files and compile separately, and to hide implementation details. This book is a step further: The interface and implementation are discussed in separate sections of this book. Part I (Objects and C + +), Part II (Algorithms and Building Blocks), and Part III (Applications) lay the groundwork by discussing basic concepts and tools and gives some practical examples, but implementation of data structures are not shown until Part IV (implementation). 

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Data Structures and Algorithm Analysis in C

Mark Allen Weiss' successful book provides a modern approach to algorithms and data structures using the C programming language. The book's conceptual presentation focuses on ADTs and the analysis of algorithms for efficiency, with a particular concentration on performance and running time. The second edition contains a new chapter that examines advanced data structures such as red black trees, top down splay trees, treaps, k-d trees, and pairing heaps among others. All code examples now conform to ANSI C and coverage of the formal proofs underpinning several key data structures has been strengthened. 

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Algorithms + Data Structures = Programs

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Algorithms in a Nutshell

Algorithm in the short to explain a large number of existing algorithms for solving various problems, and help you choose and implement the right algorithm for your needs - with just enough math to let you understand and analyze algorithm performance. With this book, you will: Solve a particular coding problem or improve the performance of existing solutions to quickly find the algorithm associated with the problems you want to solve, and determine why a particular algorithm is the right to use the Get algorithmic solutions in C, C + +, Java, and Ruby Learn tips implementation of performance expected from an algorithm, and the conditions needed to make the best decisions that impact Discover that a similar design to a different algorithm Learn advanced data structures to improve the efficiency of algorithms With the algorithm in short, you will learn how to improve the performance of key algorithms essential for the success of your software applications. 

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Data Structures and Algorithms in C++

Offers a unique multimedia format for learning the basics of data structures and algorithms Allows you to visualize the key analytic concepts, learn about the latest insights in the field, and approach to data structures design Provides programs Features develop clear, clear easy to understand writing style that breaks even the concept -most difficult math concepts Building on the success of the first edition, this new version offers an innovative approach to basic data structures and algorithms.

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Algorithms and Data Structures

Every computer scientist and every professional programmer should know about basic algorithm toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems. The algorithm is presented in a modern way, with explicitly formulated invariants, and comment on the latest trends such as algorithm engineering, memory hierarchy, algorithms and algorithm library certification. The author uses pictures, words and high-level pseudocode to explain the algorithm, and then they present more detailed implementation efficiently by using a real programming language like C + + and Java. The author has extensive experience teaching these subjects for students and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some relationship to the real world. Most chapters have the same basic structure: the motivation for this problem, comment on the most important applications, and then simple solutions presented as informally as possible and formally required. 

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Data Structures and Their Algorithms

Data structures and algorithms they cover algorithms, not the algorithm expression in a particular programming language syntax. The authors have adopted the pseudocode notation easily understandable to the programmer but have a simpler syntax. 

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Algorithms, 4th Edition

See algs4.cs.princeton.edu/code. Completely Revised Code New Java implementation written in accessible style of modular programming, where all the affected code reader and ready for use. Involved with the Application The algorithms studied in the context of important scientific engineering, and commercial applications. Clients and algorithms are presented in real code, not the pseudo-code that is found in other books. Stimulating Intellectual Involve the reader interested in the text a clear, concise, detailed with a visual example, with careful code, historical and scientific context, and training at all levels. Scientific Approach Develop precise statement about its performance, supported by appropriate mathematical models and empirical studies validate the models. Integrated with the Web Visit algs4.cs.princeton.edu for the site, freely accessible Web a comprehensive, including digesting the text, code, test data, programming projects, exercises, lecture slides, and other resources.

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Introduction to Algorithms

Several books on algorithms that tight but incomplete; others, includes the mass of material but lack rigor. The second edition featuring a new chapter on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. It includes two completely new chapters, on the van Emde Boas tree and multithreaded algorithm, and large additions to the chapter on recurrences (now called "Divide-and-Conquer"). Features improved handling of dynamic programming and greedy algorithms and new ideas from the edge of the flow on the network based on material flow.

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Operating Systems In Depth

Programmers don't want to just read about the core concepts of operating systems. They want to learn how to apply the material by actually building applications. This new book motivates them by presenting numerous programming exercises at the code level. They are not only introduced to the OS concepts and abstractions, but also the implementation. Two design projects are integrated throughout the book that they?ll be able to follow to get them into the code. Self-assessment and review material is presented at the end of each chapter to reinforce concepts. These features help to make this an excellent resource for programmers to gain invaluable experience. 

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Modern Operating Systems

For the professional software development and computer science students, Modern Operating Systems gives a solid conceptual design of operating systems, including detailed case studies of Unix / Linux and Windows 2000. What makes a modern operating system? The development of faster hardware and more progress has been encouraging progress in the software, including enhancements to the operating system. It is one thing to run older operating system on current hardware, and another to effectively utilize the best hardware to serve modern software applications. His earlier book came bundled with the source code for the operating system called Minux, a simple variant of Unix and the platform used by Linus Torvalds to develop Linux. Although this book does not come with source code, he illustrates many points with code fragments (C, usually with Unix system calls). The first half of Modern Operating Systems focuses on the concepts of traditional operating systems: processes, deadlock, memory management, I / O, and file systems. It is enlightening to read Tanenbaum explanation about the design decisions made by the teacher operating system of the past, including his view that additional research on the problem of deadlock is impractical except for "keeping otherwise unemployed graph theorists from the street." This is the second part of the book that differentiates itself from the operating system texts are older. Finally, the importance of security is discussed - an enumeration of living of the score the way the operating system could be vulnerable to attack, from password security to computer viruses and Internet worms. Included at the end of this book of case studies of two popular operating systems: Unix / Linux and Windows 2000. Both operating systems are dissected, describing how each implements processes, file systems, memory management, and other operating system fundamentals. Tanenbaum mantra is simple, accessible operating system design. 

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Distributed Operating System

As computer systems become more widely distributed, there is a need for a book that explains how the operating system they designed and implemented:. KEY TOPICS It includes material from the original book, including communication, synchronization, processes and system files, and adds new material on distributed shared memory. 

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Introduction to Operating System Design and Implementation

This book is unique finish just that: to teach introductory courses in design and implementation of the OS through hands-on engagement with OSP 2, the next generation of courseware OSP very popular. This book exposes students to many important features of the operating system while at the same time isolating them from low level, depending on the engine problem. Provide opportunity to practice OS design and implementation skills in a realistic system environment, flexible, and easy to use programming that promotes "active learning" and reinforce the course material.  Contains many teaching tools: chapter goals, internet support for students and instructors; OSP 2 courseware and an instructors manual ', which includes tips for the instructor course and sample tasks, available at www.springer.com/978-1-84628- 842 - 5. Each chapter independently of the OS concepts underlying explanation student project for that chapter. Written for undergraduate courses in a first operating system, this text provides essential foundations through the environment, user-friendly, highly flexible OSP 2 courseware. 

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Operating Systems

This book covers concepts, structure, and mechanism of the operating system. A basic reference for those interested to learn more about operating systems, also suitable for self-study. 

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Operating System Concepts, Seventh Edition

With a strong conceptual foundation in place, students can more easily understand the details associated with a particular system.
New Adaptation
* Increased coverage of user perspective in Chapter 1.
* Increased coverage of OS design throughout.
* A new chapter on real-time and embedded systems (Chapter 19).
* A new chapter on multimedia (Chapter 20).
* Additional coverage of security and protection.
* Additional coverage of distributed programming.
* New exercises at the end of each chapter.
* New programming exercises and projects at the end of each chapter.
* New pedagogy that focuses on students and design two new colors to enhance the learning process.

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Operating System Concepts Essentials

Straight forward coverage of the core concepts of operating systems Open-source operating systems, virtual machines, and clustered computing are among the leading fields of operating systems and networking that are rapidly changing. This book covers the core concepts of operating systems without any unnecessary jargon or text. The authors put you on your way to mastering the fundamental concepts of operating systems while you also prepare for today's emerging developments. Covers the core concepts of operating systems By passes unnecessary and wordy text or jargon Encourages you to take your operating system knowledge to the next level Prepares you for today's emerging developments in the field of operating systems Operating Systems Concepts Essentials is a soup-to-nuts guide for all things involving operating systems! 

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Pro Hadoop

 

But what exactly it is, and more importantly, how do you even get a Hadoop cluster up and running? From Apress, you name. Have come to trust to the hands. On the technical knowledge, Pro Hadoop takes you up to speed on Hadoop. You learn the ins and outs of MapReduce, how the cluster structure, design, and implement the Hadoop file system; And how to build the first cloud computing tasks using Hadoop. Learn how to let the Hadoop distribution and parallelizing care of your software you only. Focus on code, Hadoop care of the rest. will be Best of all, you learn from a professional technology that already? Hadoop in the scene since day one. Written from the perspective of a principal engineer with the falls? Trenches knowledge of what to do wrong with Hadoop?, You learn how to avoid, the first common mistake that people make costly by creating their own system Hadoop or inherit someone else' s. Skip the beginner stage repair errors and expensive, difficult? to ... go directly to the frame experienced the hottest pros on the cloud computing with Hadoop Pro?. Your productivity will blow your manager go. What you will learn? Set the stand? Hadoop cluster itself a clever way, laid out a simple and step by step so you can get up and running quickly to build the next data center, collaborative, data? Intensive Internet applications service, Software as a Service (SaaS), and more. Get a detailed explanation of not only how to do something with Hadoop, but also why, from the front line coder? With years in the game Hadoop. IT interested in investigating Hadoop and apply it in their organizations, and existing Hadoop users who want to deepen their professional toolkit professional. About the Apress Pro Series Books Apress Pro series of practical, professional tutorials to keep you on and moving up the professional ladder. You have to get a job, now you need to hone your skills in tough times competitive. 

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Hadoop : The Definitive Guide

Ideal for processing large datasets, framework Apache Hadoop is an open source implementation of MapReduce algorithm that Google built its empire. This suggests that a comprehensive resource on how to use Hadoop to build reliable, scalable, distributed systems: a programmer will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop to solve specific problems, this book helps you: Use the Hadoop Distributed File System (HDFS) to store large datasets, and run a distributed computation on the dataset using MapReduce Become familiar with Hadoop and data I / O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for write a MapReduce program real-world design, build, and manage a dedicated Hadoop cluster, or run Hadoop in a cloud Use the Pig, the demand for high-level language for large scale data processing advantage HBase, Hadoop database for structured and semi-structured data Learn ZooKeeper, primitive toolkit coordination to build a distributed system If you have a lot of data - whether it is gigabytes or petabytes - Hadoop is the perfect solution. 

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An Introduction to Parallel Programming

User-friendly teaching practice studentshow to compile, run and modify the sample program. Main features: Take a tutorial approach, beginning with examples of programming a small and progressive development of more challenging examples Focus on designing, debugging and evaluating program performance distributed shared-memory and Describes how to develop parallel programs using MPI, pthreads, OpenMP programming model.

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Parallel Programming

In just a few years, many standard software products will be based on the concept of parallel programming is implemented in hardware, and various applications will be far more extensive than scientific computing, until now the main application area for parallel computing. Rauber and RR takes the latest developments in processor architecture by providing a detailed description of parallel programming techniques needed to develop efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. their book is organized into three main sections, covering all areas of parallel computing: a parallel system architecture, parallel programming models and environments, and efficient implementation of the algorithm application. The emphasis lies in parallel programming techniques needed for a different architecture. The main purpose of this book is to present a parallel programming techniques that can be used in many situations to the many applications that allow readers to develop programs that correct and efficient parallel. 

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