Dataarkitektur og logisk design

Updated to cover Docker version 1.10Docker is quickly changing the way that organizations are deploying software at scale. But understanding how Linux containers fit into your workflowand getting the integration details rightare not trivial tasks. With this practical guide, youll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production.Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced.Learn how Docker simplifies dependency management and deployment workflow for your applicationsStart working with Docker images, containers, and command line toolsUse practical techniques to deploy and test Docker-based Linux containers in productionDebug containers by understanding their composition and internal processesDeploy production containers at scale inside your data center or cloud environmentExplore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration

Today's healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data.Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses onMachine-learning algorithms for health data securityFog computing in IoT-based health careMedical imaging and healthcare applications using fog IoT networksDiagnostic imaging and associated servicesImage steganography for medical informaticsThis book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.

Blockchain and distributed ledger technology (DLT) have been identified as emerging technologies that can enhance global supply chain management processes. Given the embryonic nature of the technology, use cases pertaining to how it can be adopted and deployed in supply chain contexts are scarce. This book shares blockchain supply chain use cases across a range of industries including smart cities, food imports, product traceability, decentralised finance, procurement, energy management, consensus mechanism security, and industry 4.0. Given its scope, it is primarily intended for academics, students, researchers, and practitioners who want to learn more about how blockchain can digitally transform global supply chains.

The aim of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students' points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects.

5G technology is the next step in the evolution of wireless communication. However, it also introduces new cyber risks. 5G networks are expected to be much more complex, making them harder to secure. Fortunately, artificial intelligence can play a key role in mitigating these risks.

Invasive computing is a paradigm for designing and programmingfuture parallel computing systems. For systems with 1,000 or more cores on a chip, resource-aware programming is of utmost importance to obtain high utilisation as well as computational, energy and power efficiency. Invasive computing provides a programmer explicit handles to specify and argue about resource requirements desired or required in different phases of execution: In an invade phase, an application asks the operating system to allocate a set of processor, memory and communication resources to be claimed. In a subsequent infect phase, the parallel workload is spread and executed on the obtained claim of resources. Finally, if the degree of parallelism should be lower again, a retreat operation frees the claim again, and the application resumes a sequential execution. To support this idea of self-adaptive and resource-aware programming, not only new programming concepts, languages, compilers, and operating systems were needed to be developed, but also revolutionary architectural changes in the design of MPSoCs (multiprocessor systems-on-a-chip) to efficiently support invasion, infection, and retreat operations. This book gives a comprehensive overview of all aspects of invasive computing.

Dieses Buch beschreibt einen umfassenden Ansatz für die Synthese und Optimierung von Logic-in-Memory-Computing-Hardware und -Architekturen mit memristiven Bauelementen, der eine solide Grundlage für praktische Anwendungen schafft. Die Leser werden mit einer neuen Generation von Computerarchitekturen vertraut gemacht, die potenziell schneller arbeiten können, da die Notwendigkeit der Kommunikation zwischen Prozessor und Speicher überwunden wird. Die Diskussion umfasst verschiedene Synthesemethoden und Optimierungsalgorithmen, die auf Implementierungskostenmetriken wie Latenzzeit und Flächen abzielen, sowie das Problem der Zuverlässigkeit, das durch die kurze Lebensdauer des Speichers verursacht wird. Präsentiert einen umfassenden Synthesefluss für das aufkommende Feld des Logic-in-Memory-Computings; Beschreibt die automatische Kompilierung von programmierbaren Logik-in-Memory-Computerarchitekturen; Enthält mehrere effektive Optimierungsalgorithmen, die auch auf die klassische Logiksynthese anwendbar sind; Untersucht den unausgewogenen Schreibverkehr in Logic-in-Memory-Architekturen und beschreibt Ansätze zum Verschleißausgleich, um diesen zu verringern.

There is a need to keep track of advancements related to the network technologies and further investigate several research challenges to overcome for the ease of users. With this goal, the book provides most recent and prominent research works have been done related to the network technologies.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers.Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.

This book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 - 3 April 2021. The book primarily focuses on developing artificial intelligence-based algorithms and methodologies for enabling intelligent hardware and software systems. This book brings together the latest findings on efficient technological solutions for developing intelligent and hybrid systems, intelligent software architecture, machine intelligence-based analytical tools and also smart sensors and networks. The prime focus is on solving technological problems using state-of-the-art research finding like fuzzy computing, evolutionary and hybrid frameworks, neuro-computing, etc., along with other AI-based computation platforms. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence.  

This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems.

Starting with the historical evolution of computer and communications networks and their security, the book then arrives at the main definitions of cryptography and network security. Next, the basics of information theory, how to measure information, the information associated with a certain source are also discussed. Source codes are presented, along with the concepts of information transmission, joint information, conditional entropy, mutual information and channel capacity. Computer networks are discussed, including the main protocols and network architectures, and the important TCP/IP protocol. Network security, a topic intrinsically connected to computer networks and the Internet, is presented, along with information about basic hacker attacks, alternatives to prevent attacks, data protection and secure protocols. The information theoretical aspects of cryptography are described including the hash function. An appendix includes a review of probability theory. Illustrations and graphics will help the reader understand the theory.