Overcome common issues and find answers to cloud-related questions through real enterprise scenarios, characters, and dialogue Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn cloud concepts from AWS certified trainers using common analogies from real life Get to grips with the most commonly used services in the AWS cloud Understand how your knowledge from classical on premises IT can be applied to the Cloud Book Description This book makes understanding cloud computing easy by providing relatable examples that simplify the complex technology. By drawing parallels between cloud concepts and everyday scenarios, we will demystify cloud tech, and once you start to understand it, learning cloud computing will be more enjoyable. This book will help you learn about cloud computing in general and AWS specifically, as you follow the journey of TrendyCorp—a fictitious company gearing up to move from traditional IT to cloud computing. You'll shape your understanding of the cloud through scenarios of interactions between TrendyCorp's new hires, seasoned IT professionals, external consultants, and the board of directors engaged in modernizing their applications. These characters' discussions and actions are focused on learning about cloud services by drawing comparisons between the technology and examples taken from real life. Through this book, you'll realize that cloud computing concepts have more in common with your day-to-day scenarios and situations than you've ever imagined. This book offers a conversational and entertaining narrative that anyone working in IT and looking to understand how the cloud works will be able to follow. By the end of it, you'll have developed a clear and simplified perspective of cloud technologies. What you will learn Implement virtual servers in the cloud Identify the best cloud storage options for a specific solution Explore best practices for networking and databases in the cloud Enforce security with authentication and authorization in the cloud Effectively monitor applications in the cloud Leverage scalability and automation in the cloud Get the hang of decoupled and serverless architecture Grasp the fundamentals of containers and Blockchain in the cloud Who this book is for This book is for anyone who wants to learn AWS cloud computing. It explains all the foundational concepts and mechanisms in detail. So basic knowledge of IT systems or terminologies (like server, storage, IP address, and web applications) is all that you need to get started with this book.
Overcome common issues and find answers to cloud-related questions through real enterprise scenarios, characters, and dialogue Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn cloud concepts from AWS certified trainers using common analogies from real life Get to grips with the most commonly used services in the AWS cloud Understand how your knowledge from classical on premises IT can be applied to the Cloud Book Description This book makes understanding cloud computing easy by providing relatable examples that simplify the complex technology. By drawing parallels between cloud concepts and everyday scenarios, we will demystify cloud tech, and once you start to understand it, learning cloud computing will be more enjoyable. This book will help you learn about cloud computing in general and AWS specifically, as you follow the journey of TrendyCorp—a fictitious company gearing up to move from traditional IT to cloud computing. You'll shape your understanding of the cloud through scenarios of interactions between TrendyCorp's new hires, seasoned IT professionals, external consultants, and the board of directors engaged in modernizing their applications. These characters' discussions and actions are focused on learning about cloud services by drawing comparisons between the technology and examples taken from real life. Through this book, you'll realize that cloud computing concepts have more in common with your day-to-day scenarios and situations than you've ever imagined. This book offers a conversational and entertaining narrative that anyone working in IT and looking to understand how the cloud works will be able to follow. By the end of it, you'll have developed a clear and simplified perspective of cloud technologies. What you will learn Implement virtual servers in the cloud Identify the best cloud storage options for a specific solution Explore best practices for networking and databases in the cloud Enforce security with authentication and authorization in the cloud Effectively monitor applications in the cloud Leverage scalability and automation in the cloud Get the hang of decoupled and serverless architecture Grasp the fundamentals of containers and Blockchain in the cloud Who this book is for This book is for anyone who wants to learn AWS cloud computing. It explains all the foundational concepts and mechanisms in detail. So basic knowledge of IT systems or terminologies (like server, storage, IP address, and web applications) is all that you need to get started with this book.
Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.
Spatializing Social Media charts the theoretical and methodological challenges in analyzing and visualizing social media data mapped to geographic areas. It introduces the reader to concepts, theories, and methods that sit at the crossroads between spatial and social network analysis to unpack the conceptual differences between online and face-to-face social networks and the nonlinear effects triggered by social activity that overlaps online and offline. The book is divided into four sections, with the first accounting for the differences between space (the geometrical arrangements that structure and enable forms of interaction) and place (the mechanisms through which social meanings are attached to physical locations). The second section covers the rationale of social network analysis and the ontological differences, stating that relationships, more than individual and independent attributes, are key to understanding of social behavior. The third section covers a range of case studies that successfully mapped social media activity to geographically situated areas and considers the inflection of homophilous dependencies across online and offline social networks. The fourth and last section of the book explores a range of networks and discusses methods for and approaches to plotting a social network graph onto a map, including the purpose-built R package Spatial Social Media. The book takes a non-mathematical approach to social networks and spatial statistics suitable for postgraduate students in sociology, psychology and the social sciences.
This ground-breaking book offers a deep and original analysis of the Mafia – in particular Cosa Nostra – as a distinct form of politics. Marco Santoro breaks with criminal and economic approaches which see the Mafia as an industry of private protection and rationally calculating wealth accumulation. Instead he argues that it represents an alternative way of organizing political relations, the exercise of power, and the struggle for prestige. Nor is this a distortion or failure of the modern Western state, based on the rule of law: the Mafia is best understood as an older, alternative tradition of politics, a distinctly Southern institutional arrangement of social life focused on personal ties and obligations. Today, the Mafia still thrives among subaltern classes and in regions that the modern state has not yet incorporated, as a conservative counter-politics of prestige. Pivotal to understanding this world is a cultural sociology of the Mafia, offering the tools and concepts necessary to penetrate the symbolism and structures of Mafia life. Blending diverse theoretical strands with folk sources and the voices of Mafiosi themselves, Santoro develops a political theory of the Mafia, shedding new light on this captivating, global, and remarkably resilient phenomenon.
Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.
This book documents the state of the art in combinatorial optimization, presenting approximate solutions of virtually all relevant classes of NP-hard optimization problems. The wealth of problems, algorithms, results, and techniques make it an indispensible source of reference for professionals. The text smoothly integrates numerous illustrations, examples, and exercises.
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