Download or read book Data Flow written by Robert Klanten and published by Dgv. This book was released on 2008 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The eight comprehensive chapters in Data Flow 2 expand the definition of contemporary information graphics. Wide-ranging examples introduce new techniques and forms of expression. In addition to the inspiring visuals, interviews with the New York Times's Steve Duenes, Infosthetic's Andrew Vande Moere, Visualcomplexity's Manuel Lima, Art+Com's Joachim Sauter, and passionate cartographer Menno-Jan Kraak as well as text features by Johannes Schardt provide insight into the challenges of creating effective work."--Cover.
Download or read book Data Flow Analysis written by Uday Khedker and published by CRC Press. This book was released on 2017-12-19 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to software engineering and verification. Modern compilers apply it to produce performance-maximizing code, and software engineers use it to re-engineer or reverse engineer programs and verify the integrity of their programs. Supplementary Online Materials to Strengthen Understanding Unlike most comparable books, many of which are limited to bit vector frameworks and classical constant propagation, Data Flow Analysis: Theory and Practice offers comprehensive coverage of both classical and contemporary data flow analysis. It prepares foundations useful for both researchers and students in the field by standardizing and unifying various existing research, concepts, and notations. It also presents mathematical foundations of data flow analysis and includes study of data flow analysis implantation through use of the GNU Compiler Collection (GCC). Divided into three parts, this unique text combines discussions of inter- and intraprocedural analysis and then describes implementation of a generic data flow analyzer (gdfa) for bit vector frameworks in GCC. Through the inclusion of case studies and examples to reinforce material, this text equips readers with a combination of mutually supportive theory and practice, and they will be able to access the author’s accompanying Web page. Here they can experiment with the analyses described in the book, and can make use of updated features, including: Slides used in the authors’ courses The source of the generic data flow analyzer (gdfa) An errata that features errors as they are discovered Additional updated relevant material discovered in the course of research
Download or read book Control Flow and Data Flow Concepts of Distributed Programming written by Manfred Broy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a time of multiprocessor machines, message switching networks and process control programming tasks, the foundations of programming distributed systems are among the central challenges for computing sci enti sts. The foundati ons of di stributed programming compri se all the fasci nating questions of computing science: the development of adequate com putational , conceptual and semantic model s for distributed systems, specification methods, verification techniques, transformation rules, the development of suitable representations by programming languages, evaluation and execution of programs describing distributed systems. Being the 7th in a series of ASI Summer Schools at Marktoberdorf, these lectures concentrated on distributed systems. Already during the previous Summer School s at Marktoberdorf aspects of di stributed systems were important periodical topics. The rising interest in distributed systems, their design and implementation led to a considerable amount of research in this area. This is impressively demonstrated by the broad spectrum of the topics of the papers in this vol ume, although they are far from being comprehensive for the work done in the area of distributed systems. Distributed systems are extraordinarily complex and allow many distinct viewpoints. Therefore the literature on distributed systems sometimes may look rather confusing to people not working in the field. Nevertheless there is no reason for resignation: the Summer School was able to show considerable convergence in ideas, approaches and concepts for distributed systems.
Download or read book Data Flow Analysis written by Uday Khedker and published by CRC Press. This book was released on 2017-12-19 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to software engineering and verification. Modern compilers apply it to produce performance-maximizing code, and software engineers use it to re-engineer or reverse engineer programs and verify the integrity of their programs. Supplementary Online Materials to Strengthen Understanding Unlike most comparable books, many of which are limited to bit vector frameworks and classical constant propagation, Data Flow Analysis: Theory and Practice offers comprehensive coverage of both classical and contemporary data flow analysis. It prepares foundations useful for both researchers and students in the field by standardizing and unifying various existing research, concepts, and notations. It also presents mathematical foundations of data flow analysis and includes study of data flow analysis implantation through use of the GNU Compiler Collection (GCC). Divided into three parts, this unique text combines discussions of inter- and intraprocedural analysis and then describes implementation of a generic data flow analyzer (gdfa) for bit vector frameworks in GCC. Through the inclusion of case studies and examples to reinforce material, this text equips readers with a combination of mutually supportive theory and practice, and they will be able to access the author’s accompanying Web page. Here they can experiment with the analyses described in the book, and can make use of updated features, including: Slides used in the authors’ courses The source of the generic data flow analyzer (gdfa) An errata that features errors as they are discovered Additional updated relevant material discovered in the course of research
Download or read book Visualize This written by Nathan Yau and published by John Wiley & Sons. This book was released on 2011-06-13 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
Download or read book Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements written by Seifermann, Stephan and published by KIT Scientific Publishing. This book was released on 2022-12-09 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software vendors must consider confidentiality especially while creating software architectures because decisions made here are hard to change later. Our approach represents and analyzes data flows in software architectures. Systems specify data flows and confidentiality requirements specify limitations of data flows. Software architects use detected violations of these limitations to improve the system. We demonstrate how to integrate our approach into existing development processes.
Download or read book Data Flow Diagrams Simply Put written by Thomas and Angela Hathaway and published by BA-Experts. This book was released on 2015-03-29 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: WHAT IS THIS BOOK ABOUT? Learn about Data Flow Diagrams (DFDs), Context-level DFDs, and Rigorous Physical Process Models (RPPM), what they are, why they are important, and who can use them. Use Data Flow Diagrams to Visualize Workflows An old Chinese proverb says, “A picture is worth a thousand words.” In the world of Information Technology (IT), we maintain that it may even be worth a whole lot more. For most people, it is difficult or impossible to envision a process flow, especially when someone else is describing it. Understanding current workflows, however, is critical to defining a future IT solution. Just as critical is understanding how data is created and consumed throughout the workflow. To truly understand problems inherent in a business process or workflow, you need to help the practitioners visualize what they do. Visualization lets them identify better ways of working that remove current restrictions. Data Flow Diagrams are phenomenal tools for visualization. Working with business experts, you can help them identify problems and inefficiencies they don’t even know they have. These are not people problems; they are process problems. Understanding when and how to create and use Data Flow Diagrams will help you discover and capture the requirements for improving the use of information technology. Why Should You Take this Course? In “Data Flow Diagrams – Simply Put!”, you will learn the benefits of process visualization for the business community, for the one wearing the BA hat, for those tasked with developing the solution, and ultimately for the entire organization. You will also discover how DFDs are powerful tools for recognizing and eliminating two of the major problems that haunt IT projects, namely Scope Creep and Project Overruns caused by late project change requests. This book uses a concrete business scenario to present a simple, easy-to-learn approach for creating and using Data Flow Diagrams depicting workflow and data manipulation from interviews with Subject Matter Experts. You will learn how to create a Context-Level Data Flow Diagram and explode relevant process(es) to reveal the nitty-gritty detail (i.e., individual process and data specifications) that developers need to create IT solutions that the business community needs. This book answers the following questions: - What is a Data Flow Diagram (DFD)? - What is a Rigorous Physical Process Model? - What is a Context-Level DFD? - Why should I use Data Flow Diagrams? - What symbols can I use on each type of diagram? - How can I drill down into a process? - How can I show internal processes and flows that produce the results? - What does balancing a Data Flow Diagram mean and what is the business value? - What is the most efficient approach to balancing a DFD? - What business value do process specifications offer? - How can I express detailed specifications for processes and data? - What is “metadata" and why do you need it? - What does a fully balanced DFD look like? - What value does a DFD fragment provide? - Regardless of your job title or role, if you are tasked with communicating a workflow or functional requirements to others, this book is for you. WHO WILL BENEFIT FROM READING THIS BOOK? Many distinct roles or job titles in the business community perform business needs analysis for digital solutions. They include: - Product Owners - Business Analysts - Requirements Engineers - Test Developers - Business- and Customer-side Team Members - Agile Team Members - Subject Matter Experts (SME) - Project Leaders and Managers - Systems Analysts and Designers - AND “anyone wearing the business analysis hat”, meaning anyone responsible for defining a future IT solution TOM AND ANGELA’S (the authors) STORY Like all good IT stories, theirs started on a project many years ago. Tom was the super techie, Angela the super SME. They fought their way through the 3-year development of a new policy maintenance system for an insurance company. They vehemently disagreed on many aspects, but in the process discovered a fundamental truth about IT projects. The business community (Angela) should decide on the business needs while the technical team’s (Tom)’s job was to make the technology deliver what the business needed. Talk about a revolutionary idea! All that was left was learning how to communicate with each other without bloodshed to make the project a resounding success. Mission accomplished. They decided this epiphany was so important that the world needed to know about it. As a result, they made it their mission (and their passion) to share this ground-breaking concept with the rest of the world. To achieve that lofty goal, they married and began the mission that still defines their life. After over 30 years of living and working together 24x7x365, they are still wildly enthusiastic about helping the victims of technology learn how to ask for and get the digital (IT) solutions they need to do their jobs better. More importantly, they are more enthusiastically in love with each other than ever before!
Download or read book Guide to DataFlow Supercomputing written by Veljko Milutinović and published by Springer. This book was released on 2015-04-28 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.
Download or read book Spring Cloud Data Flow written by Felipe Gutierrez and published by Apress. This book was released on 2020-12-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work with big data applications by using Spring Cloud Data Flow as a unified, distributed, and extensible system for data ingestion and integration, real-time analytics and data processing pipelines, batch processing, and data export. With this book you will develop a foundation for creating applications that use real-time data streaming by combining different technologies and use the full power of Spring Cloud Data Flow. The first part of Spring Cloud Data Flow introduces the concepts you will need in the rest of the book. It begins with an overview of the cloud, microservices, and big data, before moving on to the Spring projects essential to modern big data applications in Java: Spring Integration, Spring Batch, Spring Cloud Stream, and Spring Cloud Task. The second part of the book covers the internals of Spring Cloud Data Flow, giving you the insights and knowledge required to build the applications you need. You'll learn how to use Spring Data Flow's DSL and how to integrate with third-party cloud platform solutions, such as Kubernetes. Finally, the book covers Spring Cloud Data Flow applications to impart practical, useful skills for real-world applications of the technologies covered throughout the rest of the book. What You Will Learn See the Spring Cloud Data Flow internals Create your own Binder using NATs as Broker Mater Spring Cloud Data Flow architecture, data processing, and DSL Integrate Spring Cloud Data Flow with Kubernetes Use Spring Cloud Data Flow local server, Docker Compose, and Kubernetes Discover the Spring Cloud Data Flow applications and how to use them Work with source, processor, sink, tasks, Spring Flo and its GUI, and analytics via the new Micrometer stack for realtime visibility with Prometheus and Grafana Who This Book Is ForThose with some experience with the Spring Framework, Microservices and Cloud Native Applications. Java experience is recommended.
Download or read book MIPS Pipeline Cryptoprocessor written by Kirat Pal Singh and published by LAP Lambert Academic Publishing. This book was released on 2012-11-01 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and implementation of a crypto processor based on Cryptographic algorithms can be used in wide range of electronic devices, include PCs, PDAs, hardware security modules, web servers etc. The growing problem of breaches in information security in recent years has created a demand for earnest efforts towards ensuring security in electronic processors. The successful deployment of these electronic processors for ecommerce, Internet banking, government online services, VPNs, mobile commerce etc., are dependent on the effectiveness of the security solutions. These security concerns are further compounded when resource-constrained environments and real-time speed requirements have to be considered in next generation applications. Consequently, these IT and Network security issues have been a subject of intensive research in areas of computing, networking and cryptography these last few years. Computational methodologies, computer arithmetic, and encryption algorithms need deep investigation and research to obtain efficient integrations of crypto-processors, with desirable improvements and optimizations. Approaches on silicon achieve high values of speed and bandwidth.
Download or read book Hardware Software Co Design for Data Flow Dominated Embedded Systems written by Ralf Niemann and published by Springer Science & Business Media. This book was released on 1998-10-31 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces different tasks of hardware/software co-design, including system specification, hardware/software partitioning, co-synthesis, and co-simulation. Summarizes and classifies co-design tools and methods for these tasks, and presents the co-design tool COOL, useful for solving co-design tasks for the class of data-flow dominated embedded systems. Primary emphasis is on hardware/software partitioning and the co-synthesis phase and their coupling. A mathematical formulation of the hardware/software partitioning problem is given, and several novel approaches are presented and compared for solving the partitioning problem. Annotation copyrighted by Book News, Inc., Portland, OR
Download or read book The Organization of Reduction Data Flow and Control Flow Systems written by Werner Kluge and published by MIT Press. This book was released on 1992 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: In light of research over the last decade on new ways of representing and performing computations, this book provides a timely reexamination of computer organization and computer architecture. It systematically investigates the basic organizational concepts of reduction, data flow, and control flow (or state transition) and their relationship to the underlying programming paradigms. For each of these concepts, Kluge looks at how princip1es of language organization translate into architectures and how architectural features translate into concrete system implementations, comparing them in order to identify their similarities and differences. The focus is primarily on a functional programming paradigm based on a full-fledged operational &-calculus and on its realization by various reduction systems. Kluge first presents a brief outline of the overall configuration of a computing system and of an operating system kernel, introduce elements of the theory of Petrinets as modeling tools for nonsequential systems and processes, and use a simple form of higher-order Petri nets to identify by means of examples the operational and control disciplines that govern the organization of reduction, data flow, and control flow computations. He then introduces the notions of abstract algorithms and of reductions and includes an overview of the theory of the &-calculus. The next five chapters describe the various computing engines that realize the reduction semantics of a full-fledged &-calculus. The remaining chapters provide self-contained investigations of the G-machine, SKI combinator reduction, and the data flow approach for implementing the functional programming paradigm. This is followed by a detailed description of a typical control flow (or von Neumann) machine architecture (a VAX11 system). Properties of these machines are summarized in the concluding chapter, which classifies them according to the semantic models they support.
Download or read book Google Cloud Platform for Developers written by Ted Hunter and published by Packt Publishing Ltd. This book was released on 2018-07-30 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop, deploy, and scale your applications with Google Cloud Platform Key Features Create and deploy your applications on Google Cloud Platform Store and manage source code and debug Cloud-hosted apps with plugins and IDEs Streamline developer workflows with tools for alerting and managing deployments Book Description Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications. What you will learn Understand the various service offerings on GCP Deploy and run services on managed platforms such as App Engine and Container Engine Securely maintain application states with Cloud Storage, Datastore, and Bigtable Leverage StackDriver monitoring and debugging to minimize downtime and mitigate issues without impacting users Design and implement complex software solutions utilizing Google Cloud Integrate with best-in-class big data solutions such as Bigquery, Dataflow, and Pub/Sub Who this book is for Google Cloud Platform for Developers is for application developers. This book will enable you to fully leverage the power of Google Cloud Platform to build resilient and intelligent software solutions.
Download or read book Transborder Data Flows and Data Privacy Law written by Christopher Kuner and published by OUP Oxford. This book was released on 2013-05-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a renowned expert on data protection law, this work examines the history, policies, and future of transborder data flow regulation, and is the only text to provide a detailed legal analysis of its global implications.
Download or read book A Code Mapping Scheme for Dataflow Software Pipelining written by Guang R. Gao and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph evolved from my Ph. D dissertation completed at the Laboratory of Computer Science, MIT, during the Summer of 1986. In my dissertation I proposed a pipelined code mapping scheme for array operations on static dataflow architectures. The main addition to this work is found in Chapter 12, reflecting new research results developed during the last three years since I joined McGill University-results based upon the principles in my dissertation. The terminology dataflow soft ware pipelining has been consistently used since publication of our 1988 paper on the argument-fetching dataflow architecture model at McGill University [43]. In the first part of this book we describe the static data flow graph model as an operational model for concurrent computation. We look at timing considerations for program graph execution on an ideal static dataflow computer, examine the notion of pipe lining, and characterize its performance. We discuss balancing techniques used to transform certain graphs into fully pipelined data flow graphs. In particular, we show how optimal balancing of an acyclic data flow graph can be formulated as a linear programming problem for which an optimal solution exists. As a major result, we show the optimal balancing problem of acyclic data flow graphs is reduceable to a class of linear programming problem, the net work flow problem, for which well-known efficient algorithms exist. This result disproves the conjecture that such problems are computationally hard.
Download or read book Software Engineering and Testing written by B. B. Agarwal and published by Jones & Bartlett Learning. This book was released on 2010 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for use as an introductory software engineering course or as a reference for programmers. Up-to-date text uses both theory applications to design reliable, error-free software. Includes a companion CD-ROM with source code third-party software engineering applications.
Download or read book Dataflow and Reactive Programming Systems written by Matt Carkci and published by Createspace Independent Publishing Platform. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dataflow concepts are the heart of Reactive Programming, Flow-Based Programming (e.g., NoFlo), Unix pipes, Actors and message passing in general. Dataflow systems are easy to design once you understand the large number of implementation details that could drastically change how the system operates. Understanding these vectors of change is important so you don't waste your time developing the wrong system. By the end of the book you will understand 1. All possible design choices with dataflow-like systems, 2. How their effects interplay, 3. How to develop your own dataflow system.-- Back cover.
