Products related to Computing:
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Fashion Computing : Drawing Techniques and CAD
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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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Cloud Computing
Why cloud computing represents a paradigm shift for business, and how business users can best take advantage of cloud services. Most of the information available on cloud computing is either highly technical, with details that are irrelevant to non-technologists, or pure marketing hype, in which the cloud is simply a selling point.This book, however, explains the cloud from the user's viewpoint-the business user's in particular.Nayan Ruparelia explains what the cloud is, when to use it (and when not to), how to select a cloud service, how to integrate it with other technologies, and what the best practices are for using cloud computing.Cutting through the hype, Ruparelia cites the simple and basic definition of cloud computing from the National Institute of Science and Technology: a model enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources.Thus with cloud computing, businesses can harness information technology resources usually available only to large enterprises. And this, Ruparelia demonstrates, represents a paradigm shift for business.It will ease funding for startups, alter business plans, and allow big businesses greater agility.Ruparelia discusses the key issues for any organization considering cloud computing: service level agreements, business service delivery and consumption, finance, legal jurisdiction, security, and social responsibility.He introduces novel concepts made possible by cloud computing: cloud cells, or specialist clouds for specific uses; the personal cloud; the cloud of things; and cloud service exchanges.He examines use case patterns in terms of infrastructure and platform, software information, and business process; and he explains how to transition to a cloud service.Current and future users will find this book an indispensable guide to the cloud.
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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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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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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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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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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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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.
Price: 44.99 £ | Shipping*: 0.00 £
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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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