This book addresses the question of how system software should be designed to account for faults, and which fault tolerance features it should provide for highest reliability. With this second edition of Software Design for Resilient Computer Systems the book is thoroughly updated to contain the newest advice regarding software resilience. With additional chapters on computer system performance and system resilience, as well as online resources, the new edition is ideal for researchers and industry professionals. The authors first show how the system software interacts with the hardware to tolerate faults. They analyze and further develop the theory of fault tolerance to understand the different ways to increase the reliability of a system, with special attention on the role of system software in this process. They further develop the general algorithm of fault tolerance (GAFT) with its three main processes: hardware checking, preparation for recovery, and the recovery procedure. For each of the three processes, they analyze the requirements and properties theoretically and give possible implementation scenarios and system software support required. Based on the theoretical results, the authors derive an Oberon-based programming language with direct support of the three processes of GAFT. In the last part of this book, they introduce a simulator, using it as a proof of concept implementation of a novel fault tolerant processor architecture (ERRIC) and its newly developed runtime system feature-wise and performance-wise. Due to the wide reaching nature of the content, this book applies to a host of industries and research areas, including military, aviation, intensive health care, industrial control, and space exploration.

This volume constitutes the refereed proceedings of the 27th European Conference on Systems, Software and Services Process Improvement, EuroSPI conference, held in Dusseldorf, Germany, in September 2020*. The 50 full papers and 13 short papers presented were carefully reviewed and selected from 100 submissions. They are organized in topical sections on visionary papers, SPI manifesto and improvement strategies, SPI and emerging software and systems engineering paradigms, SPI and standards and safety and security norms, SPI and team performance & agile & innovation, SPI and agile, emerging software engineering paradigms, digitalisation of industry, infrastructure and e-mobility, good and bad practices in improvement, functional safety and cybersecurity, experiences with agile and lean, standards and assessment models, recent innovations, virtual reality. *The conference was partially held virtually due to the COVID-19 pandemic.

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

Start building Java-based web applications now, even if you're a complete newcomer to Java. Comprehensive and example-driven, this book is all you need to develop dynamic Java-based web applications using JSP, connect to databases with JSF, and put them into action using the popular open source Java web server, Apache Tomcat. Beginning Jakarta EE Web Development is a comprehensive introduction to building Java-based web applications using JSP, JSF, MySQL, and the Apache Tomcat web application server. Other APIs including JSON, JSTL, and XML parser are covered along the way. Key concepts are made easy to grasp with numerous working examples and a walk-through of the development of a complete ecommerce project. This book is written for professionals by practicing Java web application professionals and experts. What You Will Learn Build Java-based web applications using JSP and JSF with Eclipse Jakarta EE Configure your database with MySQL Define XML documents for your applications Use the Apache MyFaces APIs to create JSF applications Integrate and implement JSF and JSP together Build an online ecommerce web application Who This Book Is For Programmers new to programming in Java and programming in general.

This book constitutes the refereed proceedings of the 9th International Conference on Design, User Experience, and Usability, DUXU 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in Copenhagen, Denmark, in July 2020. The conference was held virtually due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters has been accepted for publication in the HCII 2020 proceedings. The 50 papers included in this volume were organized in topical sections on interactions in intelligent and IoT environments, usability aspects of handheld and mobile devices, designing games and immersive experiences, and UX studies in automotive and transport.

This book teaches system programming with the latest versions of C through a set of practical examples and problems. It covers the development of a handful of programs, implementing efficient coding examples. Practical System Programming with C contains three main parts: getting your hands dirty with multithreaded C programming; practical system programming using concepts such as processes, signals, and inter-process communication; and advanced socket-based programming which consists of developing a network application for reliable communication. You will be introduced to a marvelous ecosystem of system programming with C, from handling basic system utility commands to communicating through socket programming. With the help of socket programming you will be able to build client-server applications in no time. The "secret sauce" of this book is its curated list of topics and solutions, which fit together through a set of different pragmatic examples; each topic is covered from scratch in an easy-to-learn way. On that journey, you'll focus on practical implementations and an outline of best practices and potential pitfalls. The book also includes a bonus chapter with a list of advanced topics and directions to grow your skills. What You Will Learn Program with operating systems using the latest version of C Work with Linux Carry out multithreading with C Examine the POSIX standards Work with files, directories, processes, and signals Explore IPC and how to work with it Who This Book Is For Programmers who have an exposure to C programming and want to learn system programming. This book will help them to learn about core concepts of operating systems with the help of C programming. .

Managing an engineering team is hard, managing a remote engineering team is even harder-but dedicating effort to setting up a proper remote-first environment will allow for your team to thrive. This book breaks down the most important processes in engineering teams, and demonstrates how to make them work effectively in a remote organization. How do you organize code deployments, onboard new hires, give feedback, and stay up to date with your team when you can't see each other in person every day? This book looks at how building connections and working together to solve problems comes naturally when a team is co-located, but can feel almost impossible when everyone is working remotely and communicating over video calls and messages. Whether you're an experienced engineering manager or just getting started, you'll learn why copying in-office practices to the remote office doesn't work, the communication issues behind the scenes you may not even realize are happening, and how to make every aspect of remote work better for your team. From learning about how to remove new remote-specific biases from your interview process, to understanding what the team really thinks about those daily status update meetings, this book will be your guide in creating the best and most inclusive version of your engineering team. What You'll Learn Recognize where current remote processes are falling short Build up best practices to lead a team with a people-first and empathetic approach Communicate effectively in a remote organization Who This Book is For Engineering managers, team leads, directors, and those hoping to move into a lead role, will get the most value out of the book. Many of the learnings around communication will be applicable to any position in an organization, but there's a focus on processes and job duties most relevant to engineers.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools - data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

Bringing a unique perspective to the burgeoning ethical and legal issues surrounding the presence of artificial intelligence in our daily lives, the book uses theory and practice on animal rights and the rights of nature to assess the status of robots. Through extensive philosophical and legal analyses, the book explores how rights can be applied to nonhuman entities. This task is completed by developing a framework useful for determining the kinds of personhood for which a nonhuman entity might be eligible, and a critical environmental ethic that extends moral and legal consideration to nonhumans. The framework and ethic are then applied to two hypothetical situations involving real-world technology-animal-like robot companions and humanoid sex robots. Additionally, the book approaches the subject from multiple perspectives, providing a comparative study of legal cases on animal rights and the rights of nature from around the world and insights from structured interviews with leading experts in the field of robotics. Ending with a call to rethink the concept of rights in the Anthropocene, suggestions for further research are made. An essential read for scholars and students interested in robot, animal and environmental law, as well as those interested in technology more generally, the book is a ground-breaking study of an increasingly relevant topic, as robots become ubiquitous in modern society. The Open Access version of this book, available at http://www.taylorfrancis.com/books/e/ISBN, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

This book introduces the reader to the fundamentals of contemporary, emerging and future technologies and services in Internet computing. It covers essential concepts such as distributed systems architectures and web technologies, contemporary paradigms such as cloud computing and the Internet of things, and emerging technologies like distributed ledger technologies and fog computing. The book also highlights the interconnection and recombination of these Internet-based technologies, which together form a critical information infrastructure with major impacts on individuals, organizations, governments, economies, and society as a whole. Intended as a textbook for upper undergraduate and graduate classes, it features a wealth of examples, learning goals and summaries for every chapter, numerous recommendations for further reading, and questions for checking students' comprehension. A dedicated author website offers additional teaching material and more elaborate examples. Accordingly, the book enables students and young professionals in IT-related fields to familiarize themselves with the Internet's basic mechanisms, and with the most promising Internet-based technologies of our time.

When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.

Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning-based IoT security solutions. This book brings together state-of-the-art innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate students, researchers in computer science and engineering, communication networking, IoT, machine learning and pattern recognition, this book Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT security solutions and highlights the importance of IoT for industries and smart cities Presents various competitive technologies of Blockchain, especially concerned with IoT security Provides insights into the taxonomy of challenges, issues, and research directions in IoT-based applications Includes examples and illustrations to effectively demonstrate the principles, algorithm, applications, and practices of security in the IoT environment

This book constitutes the refereed proceedings of the Second International Conference on Intelligent Technologies and Applications, INTAP 2019, held in Bahawalpur, Pakistan, in November 2019. The 60 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 224 submissions. Additionally, the volume presents 1 invited paper. The papers of this volume are organized in topical sections on AI and health; sentiment analysis; intelligent applications; social media analytics; business intelligence;Natural Language Processing; information extraction; machine learning; smart systems; semantic web; decision support systems; image analysis; automated software engineering.

Figure 1.1. An outdoor scene "A bus is passing three cars which are parking between trees at the side of the road. Houses having two storeys are lined up at the street. 3 4 Introduction Figure 1.2. An assembly scene There seems to be a small open place between the group of houses in the foreground and the store in the background." In such or a similar way the content of the natural scene shown above can be described. It is quite easy to give such a short description. The problem is somewhat more complex for the second image. First of all, it can be stated that the image does not show an everyday scene. It appears as a kind of man made surrounding. But everyone can accept the following statements about this image: 1. The image shows a snapshot of an assembly line. 2. The robot in front is screwing. 3. There is no person in the working area of the robots. 4. All objects on the conveyor belt are worked on by robots. There are no free objects on the belt.

Blockchain technology is defined as a decentralized system of distributed registers that are used to record data transactions on multiple computers. The reason this technology has gained popularity is that you can put any digital asset or transaction in the blocking chain, the industry does not matter. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. Cybersecurity is an industry that has been significantly affected by this technology and may be more so in the future. Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications is an invaluable resource to discover the blockchain applications for cybersecurity and privacy. The purpose of this book is to improve the awareness of readers about blockchain technology applications for cybersecurity and privacy. This book focuses on the fundamentals, architectures, and challenges of adopting blockchain for cybersecurity. Readers will discover different applications of blockchain for cybersecurity in IoT and healthcare. The book also includes some case studies of the blockchain for e-commerce online payment, retention payment system, and digital forensics. The book offers comprehensive coverage of the most essential topics, including: Blockchain architectures and challenges Blockchain threats and vulnerabilities Blockchain security and potential future use cases Blockchain for securing Internet of Things Blockchain for cybersecurity in healthcare Blockchain in facilitating payment system security and privacy This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in the fields of blockchain technology and cybersecurity. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on the blockchain for cybersecurity and privacy.

This book constitutes the refereed proceedings of the 12h International Symposium on Business Modeling and Software Design, BMSD 2022, which took place in Fribourg, Switzerland, in June 2022. The 12 full and 9 short papers included in this book were carefully reviewed and selected from a total of 56 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2022 theme is: Information Systems Engineering and Trust.

Software is important because it is used by a great many people in companies and institutions. This book presents engineering methods for designing and building software. Based on the author's experience in software engineering as a programmer in the defense and aerospace industries, this book explains how to ensure a software that is programmed operates according to its requirements. It also shows how to develop, operate, and maintain software engineering capabilities by instilling an engineering discipline to support programming, design, builds, and delivery to customers. This book helps software engineers to: Understand the basic concepts, standards, and requirements of software engineering. Select the appropriate programming and design techniques. Effectively use software engineering tools and applications. Create specifications to comply with the software standards and requirements. Utilize various methods and techniques to identify defects. Manage changes to standards and requirements. Besides providing a technical view, this book discusses the moral and ethical responsibility of software engineers to ensure that the software they design and program does not cause serious problems. Software engineers tend to be concerned with the technical elegance of their software products and tools, whereas customers tend to be concerned only with whether a software product meets their needs and is easy and ready to use. This book looks at these two sides of software development and the challenges they present for software engineering. A critical understanding of software engineering empowers developers to choose the right methods for achieving effective results. Effective Methods for Software Engineering guides software programmers and developers to develop this critical understanding that is so crucial in today's software-dependent society.

This book constitutes the proceedings of the Second International Workshop on Dynamic Logic, DALI 2019, held in Porto, Portugal in October 2019. The workshop was held in Porto, Portugal, on October 9, 2019, as part of the Formal Methods Week which hosted the 3rd World Congress on Formal Methods. The 12 full papers presented together with 2 short papers were carefully reviewed and selected from 26 submissions. The workshop is based on the project DaLi - Dynamic logics for cyber-physical systems: towards contract based design.

Advances in Computers, Volume 119, presents innovations in computer hardware, software, theory, design, and applications, with this updated volume including new chapters on Fast Execution of RDF Queries Using Apache Hadoop, A Study of DVFS Methodologies for Multicore Systems with Islanding Feature, Effectiveness of State-of-the-art Dynamic Analysis Techniques in Identifying Diverse Android Malware and Future Enhancements, Eyeing the Patterns: Data Visualization Using Doubly-Seriated Color Heatmaps, Eigenvideo for Video Indexing.

" Whether by design, accident or merely synchronicity, Checkland appears to have developed a habit of writing seminal publications near the start of each decade which establish the basis and framework for systems methodology research for that decade." Hamish Rennie, Journal of the Operational Research Society, 1992 Thirty years ago Peter Checkland set out to test whether the Systems Engineering (SE) approach, highly successful in technical problems, could be used by managers coping with the unfolding complexities of organizational life. The straightforward transfer of SE to the broader situations of management was not possible, but by insisting on a combination of systems thinking strongly linked to real-world practice Checkland and his collaborators developed an alternative approach - Soft Systems Methodology (SSM) - which enables managers of all kinds and at any level to deal with the subtleties and confusions of the situations they face. This work established the now accepted distinction between ‘ hard’ systems thinking, in which parts of the world are taken to be ‘ systems’ which can be ‘ engineered’ , and ‘ soft’ systems thinking in which the focus is on making sure the process of inquiry into real-world complexity is itself a system for learning. Systems Thinking, Systems Practice (1981) and Soft Systems Methodology in Action (1990) together with an earlier paper Towards a Systems-based Methodology for Real-World Problem Solving (1972) have long been recognized as classics in the field. Now-Peter Checkland has looked back over the three decades of SSM development, brought the account of it up to date, and reflected on the whole evolutionary process which has produced a mature SSM. SSM: A 30-Year Retrospective, here included with Soft Systems Methodology in Action closes a chapter on what is undoubtedly the most significant single research programme on the use of systems ideas in problem solving. Now retired from full-time university work, Peter Checkland continues his research as a Leverhulme Emeritus Fellow.

Software testing is needed to assess the quality of developed software. However, it consumes a critical amount of time and resources, often delaying the software release date and increasing the overall cost. The answer to this problem is effective test automation, which is expected to meet the need for effective software testing while reducing amount of required time and resources. Advanced Automated Software Testing: Frameworks for Refined Practice discusses the current state of test automation practices, as it includes chapters related to software test automation and its validity and applicability in different domains. This book demonstrates how test automation can be used in different domains and in the different tasks and stages of software testing, making it a useful reference for researchers, students, and software engineers.

The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including: A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.

This book contains the refereed proceedings of the Cybernetics Perspectives in Systems session of the 11th Computer Science On-line Conference 2022 (CSOC 2022), which was held in April 2022 online. Papers on modern cybernetics and informatics in the context of networks and systems are an important component of current research issues. This volume contains an overview of recent method, algorithms and designs.

How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes. This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. "Beautiful Code" is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International. The book includes the following contributions: "Beautiful Brevity: Rob Pike's Regular Expression Matcher" by Brian Kernighan, Department of Computer Science, Princeton University; "Subversion's Delta Editor: Interface as Ontology" by Karl Fogel, editor of "QuestionCopyright.org", Co-founder of Cyclic Software, the first company offering commercial CVS support; "The Most Beautiful Code I Never Wrote" by Jon Bentley, Avaya Labs Research; "Finding Things" by Tim Bray, Director of Web Technologies at Sun Microsystems, co-inventor of XML 1. 0; "Correct, Beautiful, Fast (In That Order): Lessons From Designing XML Validators" by Elliotte Rusty Harold, Computer Science Department at Polytechnic University, author of "Java I/O, Java Network Programming", and "XML in a Nutshell" (O'Reilly); and, "The Framework for Integrated Test: Beauty through Fragility" by Michael Feathers, consultant at Object Mentor, author of "Working Effectively with Legacy Code" (Prentice Hall). It also includes: "Beautiful Tests" by Alberto Savoia, Chief Technology Officer, Agitar Software Inc; "On-the-Fly Code Generation for Image Processing" by Charles Petzold, author "Programming Windows and Code: The Hidden Language of Computer Hardware and Software" (both Microsoft Press); "Top Down Operator Precedence" by Douglas Crockford, architect at Yahoo! Inc, Founder and CTO of State Software, where he discovered JSON; "Accelerating Population Count" by Henry Warren, currently works on the Blue Gene petaflop computer project Worked for IBM for 41 years; "Secure Communication: The Technology of Freedom" by Ashish Gulhati, Chief Developer of Neomailbox, an Internet privacy service Developer of Cryptonite, an OpenPGP-compatible secure webmail system; and, "Growing Beautiful Code in BioPerl" by Lincoln Stein, investigator at Cold Spring Harbor Laboratory - develops databases and user interfaces for the Human Genome Project using the Apache server and its module API. It also includes: "The Design of the Gene Sorter" by Jim Kent, Genome Bioinformatics Group, University of California Santa Cruz; "How Elegant Code Evolves With Hardware: The Case Of Gaussian Elimination" by Jack Dongarra, University Distinguished Professor of Computer Science in the Computer Science Department at the University of Tennessee, also distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) and Piotr Luszczek, Research Professor at the University of Tennessee; "Beautiful Numerics" by Adam Kolawa, co-founder and CEO of Parasoft; and, "The Linux Kernel Driver Model" by Greg Kroah-Hartman, SuSE Labs/Novell, Linux kernel maintainer for driver subsystems, author of "Linux Kernel in a Nutshell", co-author of "Linux Device Drivers, 3rd Edition" (O'Reilly). It also includes: "Another Level of Indirection" by Diomidis Spinellis, Associate Professor at the Department of Management Science and Technology at the Athens University of Economics and Business, Greece; "An Examination of Python's Dictionary Implementation" by Andrew Kuchling, longtime member of the Python development community, and a director of the Python Software Foundation; "Multi-Dimensional Iterators in NumPy" by Travis Oliphant, Assistant Professor in the Electrical and Computer Engineering Department at Brigham Young University; and, "A Highly Reliable Enterprise System for NASAs Mars Rover Mission" by Ronald Mak, co-founder and CTO of Willard & Lowe Systems, Inc, formerly a senior scientist at the Research Institute for Advanced Computer Science on contract to NASA Ames. It also includes: "ERP5: Designing for Maximum Adaptability" by Rogerio de Carvalho, researcher at the Federal Center for Technological Education of Campos (CEFET Campos), Brazil and Rafael Monnerat, IT Analyst at CEFET Campos, and an offshore consultant for Nexedi SARL; "A Spoonful of Sewage" by Bryan Cantrill, Distinguished Engineer at Sun Microsystems, where he has spent most of his career working on the Solaris kernel; "Distributed Programming with MapReduce" by Jeff Dean and Sanjay Ghemawat, Google Fellows in Google's Systems Infrastructure Group; "Beautiful Concurrency" by Simon Peyton Jones, Microsoft Research, key contributor to the design of the functional language Haskell, and lead designer of the Glasgow Haskell Compiler (GHC); and, "Syntactic Abstraction: The syntax-case expander" by Kent Dybvig, Developer of Chez Scheme and author of the Scheme Programming Language. It also includes: "Object-Oriented Patterns and a Framework for Networked Software" by William Otte, a Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) at Vanderbilt University and Doug Schmidt, Full Professor in the Electrical Engineering and Computer Science (EECS) Department, Associate Chair of the Computer Science and Engineering program, and a Senior Research Scientist at the Institute for Software Integrated Systems (ISIS) at Vanderbilt University; "Integrating Business Partners the RESTful Way" by Andrew Patzer, Director of the Bioinformatics Program at the Medical College of Wisconsin; and, "Beautiful Debugging" by Andreas Zeller, computer science professor at Saarland University, author of "Why Programs Fail: A Guide to Systematic Debugging" (Morgan Kaufman). It also includes: "Code That's Like an Essay" by Yukihiro Matsumoto, inventor of the Ruby language; "Designing Interfaces Under Extreme Constraints: the Stephen Hawking editor" by Arun Mehta, professor and chairman of the Computer Engineering department of JMIT, Radaur, Haryana, India; "Emacspeak: The Complete Audio Desktop" by TV Raman, Research Scientist at Google where he focuses on web applications; "Code in Motion" by Christopher Seiwald, founder and CTO of Perforce Software and Laura Wingerd, vice president of product technology at Perforce Software, author of "Practical Perforce" (O'Reilly); and, "Writing Programs for 'The Book'" by Brian Hayes who writes the Computing Science column in American Scientist magazine, author of "Infrastructure: A Field Guide to the Industrial Landscape"(W.W. Norton).

This book constitutes the proceedings of the 12th International Conference on Internet and Distributed Systems held in Naples, Italy, in October 2019. The 47 revised full papers presented were carefully reviewed and selected from 145 submissions. This conference desires to look for inspiration in diverse areas (e.g. infrastructure & system design, software development, big data, control theory, artificial intelligence, IoT, self-adaptation, emerging models, paradigms, applications and technologies related to Internet-based distributed systems) to develop new ways to design and manage such complex and adaptive computation resources.