Computing

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

Digital has already drastically changed our lives in areas from music, food, travel television and even social relationships. Health is also now experiencing a strong influence from the digital realm, which will change our way of thinking about healthcare and how we approach it. The recent past has already brought on changes to health that can be considered disruptive, and it will be even more so in the near future Yet, thanks to technology, disruption will also have a very positive face, as health services will also become more humane, reintroducing a level of empathy that almost disappeared from the field of medicine in the last century. In the area of devices we have gone from heavy and very expensive laptops with computing capabilities that would be considered ridiculous by today's standards, to extremely powerful handheld computers, smartphones, tablets, wearable devices... and this process is continuing with the ever increasing levels of miniaturization and affordability. We are

Walter Isaacson的《Steve Jobs》以大量第一手訪談為基礎，描繪出這位蘋果創辦人複雜而鮮明的生命軌跡。Jobs結合科技與美學，推動從個人電腦到智慧型手機的革命，也以強烈的理想與個性影響整個產業。書中不僅呈現他創新的天賦，也揭示其強勢與矛盾的人格，使這部傳記成為理解創新領導者的重要作品。Walter Isaacson's "enthralling" (The New Yorker) worldwide bestselling biography of Apple cofounder Steve Jobs. Based on more than forty interviews with Steve Jobs conducted over two years--as well as interviews with more than 100 family members, friends, adversaries, competitors, and colleagues--Walter Isaacson has written a riveting story of the roller-coaster life and searingly intense personality of a creative entrepreneur whose passion for perfection and ferocious drive revolutionized six industries: personal computers, animated movies, music, phones, tablet computing, and digital publishing. At a time when America is seeking ways to sustain its innovative edge, Jobs stands as the ultimate icon of inventiveness and applied imagination. He knew that the best way to create value in 21st century was to connect creativity with technol

That everyone has a human right to enjoy the benefits of the progress of science and its applications comes as a surprise to many. Nevertheless, this right is pertinent to numerous issues at the intersection of science and society: open access; 'dual use' science; access to ownership and dissemination of data, knowledge, methods and the affordances and applications thereof; as well as the role of international co-operation, human dignity and other human rights in relation to science and its products. As we advance towards superintelligence, quantum computing, drone swarms, and life-extension technology, serious policy decisions will be made at the national and international levels. The human right to science provides an ideal tool to do so, backed up as it is by international law, political heft, and normative weight. This book is the first sustained attempt at turning this wonder of foresight into an actionable and justiciable right. This title is also available as Open Access on Camb

雲計算（cloud computing），分布式計算技術的一種，其 基本的概念，是透過網絡將龐大的計算處理程序自動分拆成無數個較小的子程序，再交由多部服務器所組成的龐大系統經搜尋、計算分析之後將處理結果回傳給用戶。稍早之前的大規模分布式計算技術即為“雲計算”的概念起源。本書分別從雲計算的基礎概念和發展、雲計算的關鍵技術、雲計算開源軟件介紹、雲計算中虛擬化技術及發展、雲計算中的容器技術、分布式軟件定義存儲技術、數據中心網絡技術、桌面雲接入技術、OpenStack架構體系、華為雲計算架構體系、雲計算與大數據技術、雲服務技術、雲原生共十三個章節進行介紹。 本書既適合各高等院校計算機或其他相關專業學生使用，又適合雲計算初學者、社會培訓班學員及對雲計算感興趣的人員使用。

From the bestselling author of The Everything Store, an unvarnished picture of Amazon's unprecedented growth and its billionaire founder, Jeff Bezos, revealing the most important business story of our time. Almost ten years ago, Bloomberg journalist Brad Stone captured the rise of Amazon, an internet pioneer quietly changing the way we shop online, in his bestseller The Everything Store. But ever since, Amazon has expanded exponentially, inventing novel products like Alexa and disrupting countless industries, while its workforce has quintupled in size and its valuation has soared to well over a trillion dollars. Jeff Bezos's empire, once housed in a garage, now spans the globe. Between services like Whole Foods, Prime Video, and Amazon's cloud computing unit, AWS, plus Bezos's ownership of The Washington Post, it's impossible to go a day without encountering its impact. We live in a world run, supplied, and controlled by Amazon and its iconoclast founder. In Amazon Unbound, Brad Stone

The field of ultracold atomic physics has developed rapidly during the last two decades, and currently encompasses a broad range of topics in physics, with a variety of important applications in topics ranging from quantum computing and simulation to quantum metrology, and can be used to probe fundamental many-body effects such as superconductivity and superfluidity. Beginning with the underlying and including the most cutting-edge experimental developments, this textbook covers essential topics such as Bose-Einstein condensation of alkali atoms, studies of BEC-BCS crossover in degenerate Fermi gas, synthetic gauge fields and Hubbard models, and many-body localization and dynamical gauge fields. Key physical concepts, such as symmetry and universality highlight the connections between different systems, and theory is developed with plain derivations supported by experimental results. This self-contained and modern text will be invaluable for researchers, graduate students and advanced

The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix theory and the study of large sample covariance matrices can efficiently process these big data sets and help make sense of modern, deep learning algorithms. Presenting an introductory calculus course for random matrices, the book focusses on modern concepts in matrix theory, generalising the standard concept of probabilistic independence to non-commuting random variables. Concretely worked out examples and applications to financial engineering and portfolio construction make this unique book an essential tool for physicists, engineers, data analysts, and economists.

Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.jsKey FeaturesLearn the fundamentals of NoSQL databases with MongoDBCreate, manage, and optimize a MongoDB database in the cloud using AtlasUse a real-world dataset to gain practical experience of handling big dataBook DescriptionMongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently.Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start - showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster.