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Abstrak :
Blogs and tweets, texting and friending : social media and online professionalism in health care summarizes the most common mistakes, and their legal and ethical ramifications, made in social media by busy health care professionals. It gives best practices for using social media while maintaining online professionalism. The book goes on to identify categories of caution, from confidentiality of patient information and maintaining the professional's privacy to general netiquette in tweeting, texting, blogging, and friending. And it guides you in setting up a faculty page (or choosing not to) and managing your online footprint. The connected generation regularly uses social media, including health care professionals, but what happens when a patient wants to friend you? Or when you've already posted a rant on a patient that gets viewed by others? What information may already be floating on the Internet that a patient may find about you in a Google search and that might impact your therapeutic relationship?

Abstrak :
Cloud computing : theory and practice provides students and IT professionals with an in-depth analysis of the cloud from the ground up. Beginning with a discussion of parallel computing and architectures and distributed systems, the book turns to contemporary cloud infrastructures, how they are being deployed at leading companies such as Amazon, Google and Apple, and how they can be applied in fields such as healthcare, banking and science. The volume also examines how to successfully deploy a cloud application across the enterprise using virtualization, resource management and the right amount of networking support, including content delivery networks and storage area networks. Developers will find a complete introduction to application development provided on a variety of platforms.

Abstrak :
Mastering cloud computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won?t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout.

Abstrak :
Abstract: To guide you through this broad ecosystem, this popular guide provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.

Abstrak :
Cloud networking : understanding cloud-based data center networks explains the evolution of established networking technologies into distributed, cloud-based networks. Starting with an overview of cloud technologies, the book explains how cloud data center networks leverage distributed systems for network virtualization, storage networking, and software-defined networking. The author offers insider perspective to key components that make a cloud network possible such as switch fabric technology and data center networking standards. The final chapters look ahead to developments in architectures, fabric technology, interconnections, and more. By the end of the book, readers will understand core networking technologies and how they’re used in a cloud data center.

Abstrak :
Computation and storage in the cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users. Describes several novel strategies for storing application datasets in the cloud. Includes real-world case studies of scientific research applications.