Products related to Computing:
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Cloud Computing
A concise and useful analysis of the legal issues facing both cloud providers and their customers.The technical awareness of the legal system with regards to cloud technologies is increasing.The courts are beginning to take a useful, pragmatic and well balanced approach to evaluating the fairness and effectiveness of service provider T&C's in meeting customer information security requirements and obligations.The concept of what is reasonable is central to this balance.It is also nothing new. This after all is what corporate diligence is all about.However, achieving this reasonableness requires real understanding of well known terms such as: vulnerability, threat, risk and exposure within a new technical landscape.
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Humanities Computing
Humanities Computing provides a rationale for a computing practice that is of and for as well as in the humanities and the interpretative social sciences.It engages philosophical, historical, ethnographic and critical perspectives to show how computing helps us fulfil the basic mandate of the humane sciences to ask ever better questions of the most challenging kind.It strengthens current practice by stimulating debate on the role of the computer in our intellectual life, and outlines an agenda for the field to which individual scholars across the humanities can contribute.
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Forensic Computing
In the second edition of this very successful book, Tony Sammes and Brian Jenkinson show how information held in computer systems can be recovered and how it may be deliberately hidden or subverted for criminal purposes. "Forensic Computing: A Practitioner's Guide" is illustrated by plenty of case studies and worked examples, and will help practitioners and students gain a clear understanding of: - how to recover information from computer systems in such a way as to ensure that its integrity cannot be challenged and that it will be accepted as admissible evidence in court the principles involved in password protection and data encryption- the evaluation procedures used in circumventing these safeguards- the particular legal issues associated with computer-generated evidence and how to ensure admissibility of such evidence. This edition is fully expanded and updated with treatment of metadata files, NFTS systems, CHS and LBA addressing, and alternate data streams.
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Urban Computing
An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications. Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion.Using today's large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework.This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications. Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research.The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques.Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field.
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How can I outsource computing power?
You can outsource computing power by utilizing cloud computing services offered by companies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. These services allow you to rent computing resources on a pay-as-you-go basis, giving you access to scalable computing power without the need to invest in expensive hardware. By leveraging these cloud services, you can easily scale your computing resources up or down based on your needs, making it a cost-effective and flexible solution for outsourcing computing power.
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How can the computing power be improved?
Computing power can be improved through advancements in hardware and software technologies. This includes the development of faster and more efficient processors, increased memory and storage capacities, and improved cooling systems to prevent overheating. Additionally, optimizing software algorithms and programming techniques can also enhance computing power by making better use of available resources. Furthermore, advancements in parallel processing and distributed computing can also contribute to improved computing power by allowing tasks to be divided and processed simultaneously across multiple processors or systems.
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How can one earn money with computing power?
One way to earn money with computing power is through cryptocurrency mining. By using your computer's processing power to solve complex mathematical equations, you can earn cryptocurrency as a reward. Another way is by participating in distributed computing projects, where you can lend your computing power to help solve scientific research problems in exchange for payment. Additionally, you can offer your computing skills and services on freelance platforms or by starting your own tech consulting business to earn money.
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What is the computing power of the blender?
The computing power of a blender is not typically measured in the same way as a computer or other electronic device. Instead, the performance of a blender is often evaluated based on its motor power, which is measured in watts. The higher the wattage, the more powerful the blender is likely to be, and the more efficiently it can blend ingredients. Additionally, some blenders may also have advanced features such as variable speed settings and preset programs that can affect their overall performance.
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Productizing Quantum Computing : Bring Quantum Computing Into Your Organization
Leverage the benefits of quantum computing by identifying business use cases and understanding how to design and develop quantum products and services.This book will guide you to effectively productize quantum computing, including best practices, recommendations, and proven methods to help you navigate the challenges and risks of this emerging technology. The book starts with a thorough introduction to quantum computing, followed by its various algorithms and applications.You will then learn how to build a strong foundation in classical computing, seek practical experience, and stay up-to-date with the latest developments in the field.Moving forward, you will gain an understanding of how to conduct market research to identify business opportunities for quantum computing products and services.The authors then guide you through the process of developing a quantum roadmap and integrating quantum computing into an existing system.This is concluded by a demonstration of howto manage quantum computing projects and how to address their risks and challenges.After reading this book, you will understand quantum computing and how it can be applied to real-world business problems. What You Will LearnIdentify business use cases for quantum computing and understand the potential benefits and risks of quantum applicationsDesign and develop quantum products and services by identifying quantum algorithms, programming in quantum languages, and leveraging quantum simulators and hardwareIntegrate quantum computing into existing systemsIntegrate quantum algorithms with classical algorithmsWho This Book Is ForProduct managers, developers, and entrepreneurs who wish to use the potential of quantum computing for their businesses.
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The Cloud Computing Book : The Future of Computing Explained
This latest textbook from bestselling author, Douglas E.Comer, is a class-tested book providing a comprehensive introduction to cloud computing.Focusing on concepts and principles, rather than commercial offerings by cloud providers and vendors, The Cloud Computing Book: The Future of Computing Explained gives readers a complete picture of the advantages and growth of cloud computing, cloud infrastructure, virtualization, automation and orchestration, and cloud-native software design. The book explains real and virtual data center facilities, including computation (e.g., servers, hypervisors, Virtual Machines, and containers), networks (e.g., leaf-spine architecture, VLANs, and VxLAN), and storage mechanisms (e.g., SAN, NAS, and object storage).Chapters on automation and orchestration cover the conceptual organization of systems that automate software deployment and scaling.Chapters on cloud-native software cover parallelism, microservices, MapReduce, controller-based designs, and serverless computing.Although it focuses on concepts and principles, the book uses popular technologies in examples, including Docker containers and Kubernetes.Final chapters explain security in a cloud environment and the use of models to help control the complexity involved in designing software for the cloud. The text is suitable for a one-semester course for software engineers who want to understand cloud, and for IT managers moving an organization’s computing to the cloud.
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Oxford International Computing: Oxford International Computing Student Book 7
A complete three-year lower secondary computing course that takes a real-life, project-based approach to teaching young learners the vital computing skills they will need for the digital world.Each unit builds a series of skills towards the creation of a final project, with topics ranging from designing your own robot to programming simple games and designing and creating web pages. Within each stage, key concepts are covered to give learners not only the skills they need to use technology effectively, but also the knowledge in how to do so creatively, safely and collaboratively:· Understand how modern technology works· Use a wide range of computer hardware and software for analytical and creative tasks· Use the internet safely, respectfully, and selectively· Write computer programs and develop computational thinking
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Cloud Computing
Written in a tutorial style, this comprehensive guide follows a structured approach explaining cloud techniques, models and platforms.Popular cloud services such as Amazon, Google and Microsoft Azure are explained in the text.The security risks and challenges of cloud computing are discussed in detail with useful examples.Emerging trends including mobile cloud computing and internet of things are discussed in the book for the benefit of the readers.Numerous review questions, multiple choice exercises and case studies facilitate enhanced understanding.This textbook is ideal for undergraduate and graduate students of computer science engineering, and information technology.
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Why does OMSI 2 require so much computing power?
OMSI 2 requires a lot of computing power because it is a highly detailed and realistic simulation game. The game features complex and detailed 3D models of buses, cities, and landscapes, as well as realistic physics and AI behaviors. Additionally, OMSI 2 simulates a large open world environment with dynamic weather and traffic conditions, which requires significant processing power to render and simulate in real-time. Overall, the game's high level of detail and realism demands a lot of computing power to provide a smooth and immersive gaming experience.
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How does the computing architecture of stack frames work?
Stack frames are used in computing to store information about function calls and local variables. Each time a function is called, a new stack frame is created and pushed onto the call stack. This stack frame contains information such as the function's parameters, return address, and local variables. When the function finishes executing, its stack frame is popped off the call stack, allowing the program to return to the previous function. This process ensures that each function call has its own isolated space for storing data, preventing interference between different function calls.
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Can the computing power be shared or distributed between computers?
Yes, computing power can be shared or distributed between computers through a process known as distributed computing. This involves breaking down a complex computing task into smaller parts and assigning each part to different computers to work on simultaneously. By distributing the workload in this way, the overall computing power is effectively shared among multiple machines, allowing for faster processing and increased efficiency. This approach is commonly used in tasks such as data processing, scientific research, and networked applications.
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What computing power does a laptop need for studying physics?
The computing power needed for studying physics on a laptop can vary depending on the specific requirements of the tasks involved. Generally, a laptop with at least an Intel Core i5 or AMD Ryzen 5 processor, 8GB of RAM, and a dedicated graphics card would be sufficient for running physics simulations, analyzing data, and running software like MATLAB or Mathematica. It's also important to have a fast and reliable internet connection for accessing online resources and collaborating with peers. Ultimately, the computing power needed will depend on the specific software and simulations required for your physics studies.
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