Cloud Computing: A Hands-On Approach

Author: Arshdeep Bahga,Vijay Madisetti

Publisher: CreateSpace Independent Publishing Platform

ISBN: 1494435144

Category: Computers

Page: 454

View: 9467

About the Book Recent industry surveys expect the cloud computing services market to be in excess of $20 billion and cloud computing jobs to be in excess of 10 million worldwide in 2014 alone. In addition, since a majority of existing information technology (IT) jobs is focused on maintaining legacy in-house systems, the demand for these kinds of jobs is likely to drop rapidly if cloud computing continues to take hold of the industry. However, there are very few educational options available in the area of cloud computing beyond vendor-specific training by cloud providers themselves. Cloud computing courses have not found their way (yet) into mainstream college curricula. This book is written as a textbook on cloud computing for educational programs at colleges. It can also be used by cloud service providers who may be interested in offering a broader perspective of cloud computing to accompany their own customer and employee training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. We have tried to write a comprehensive book that transfers knowledge through an immersive "hands-on approach", where the reader is provided the necessary guidance and knowledge to develop working code for real-world cloud applications. Additional support is available at the book's website: www.cloudcomputingbook.info Organization The book is organized into three main parts. Part I covers technologies that form the foundations of cloud computing. These include topics such as virtualization, load balancing, scalability & elasticity, deployment, and replication. Part II introduces the reader to the design & programming aspects of cloud computing. Case studies on design and implementation of several cloud applications in the areas such as image processing, live streaming and social networks analytics are provided. Part III introduces the reader to specialized aspects of cloud computing including cloud application benchmarking, cloud security, multimedia applications and big data analytics. Case studies in areas such as IT, healthcare, transportation, networking and education are provided.

Laboratory Training Guide

Cloud Computing: A Hands-On Approach

Author: Arshdeep Bahga,Vijay Madisetti

Publisher: Vijay Madisetti

ISBN: N.A

Category: Computers

Page: 188

View: 3772

In response to requests for instructional and training material from instructors, we prepared this laboratory training guide as a companion book to the Cloud Computing: A Hands-On Approach ("Cloud Book"). This book is designed to serve two purposes. First, it provides a tutorial for the laboratory training that can accompany traditional or online instruction using the Cloud Book. Second, it provides access to the complete source code used in the examples provided in the Cloud Book. The authors hope that this laboratory training guide will continue to prove useful to instructors and students using the Cloud Book.

Internet of Things: A Hands-On Approach

Author: Arshdeep Bahga,Vijay Madisetti

Publisher: VPT

ISBN: 0996025510

Category: Computers

Page: 446

View: 6319

Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter". Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet. This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications. Additional support is available at the book's website: www.internet-of-things-book.com Organization The book is organized into 3 main parts, comprising of a total of 11 chapters. Part I covers the building blocks of Internet of Things (IoTs) and their characteristics. A taxonomy of IoT systems is proposed comprising of various IoT levels with increasing levels of complexity. Domain specific Internet of Things and their real-world applications are described. A generic design methodology for IoT is proposed. An IoT system management approach using NETCONF-YANG is described. Part II introduces the reader to the programming aspects of Internet of Things with a view towards rapid prototyping of complex IoT applications. We chose Python as the primary programming language for this book, and an introduction to Python is also included within the text to bring readers to a common level of expertise. We describe packages, frameworks and cloud services including the WAMP-AutoBahn, Xively cloud and Amazon Web Services which can be used for developing IoT systems. We chose the Raspberry Pi device for the examples in this book. Reference architectures for different levels of IoT applications are examined in detail. Case studies with complete source code for various IoT domains including home automation, smart environment, smart cities, logistics, retail, smart energy, smart agriculture, industrial control and smart health, are described. Part III introduces the reader to advanced topics on IoT including IoT data analytics and Tools for IoT. Case studies on collecting and analyzing data generated by Internet of Things in the cloud are described.

Big Data Science & Analytics

A Hands-On Approach

Author: Arshdeep Bahga,Vijay Madisetti

Publisher: Vpt

ISBN: 9780996025539

Category:

Page: 544

View: 8377

We are living in the dawn of what has been termed as the "Fourth Industrial Revolution," which is marked through the emergence of "cyber-physical systems" where software interfaces seamlessly over networks with physical systems, such as sensors, smartphones, vehicles, power grids or buildings, to create a new world of Internet of Things (IoT). Data and information are fuel of this new age where powerful analytics algorithms burn this fuel to generate decisions that are expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science and Analytics, and the industrial and academic communities are realizing this as a competitive technology that can generate significant new wealth and opportunity. Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. Big data science and analytics deals with collection, storage, processing and analysis of massive-scale data. Industry surveys, by Gartner and e-Skills, for instance, predict that there will be over 2 million job openings for engineers and scientists trained in the area of data science and analytics alone, and that the job market is in this area is growing at a 150 percent year-over-year growth rate. We have written this textbook, as part of our expanding "A Hands-On Approach"(TM) series, to meet this need at colleges and universities, and also for big data service providers who may be interested in offering a broader perspective of this emerging field to accompany their customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. An accompanying website for this book contains additional support for instruction and learning (www.big-data-analytics-book.com) The book is organized into three main parts, comprising a total of twelve chapters. Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. A novel data science and analytics application system design methodology is proposed and its realization through use of open-source big data frameworks is described. This methodology describes big data analytics applications as realization of the proposed Alpha, Beta, Gamma and Delta models, that comprise tools and frameworks for collecting and ingesting data from various sources into the big data analytics infrastructure, distributed filesystems and non-relational (NoSQL) databases for data storage, and processing frameworks for batch and real-time analytics. This new methodology forms the pedagogical foundation of this book. Part II introduces the reader to various tools and frameworks for big data analytics, and the architectural and programming aspects of these frameworks, with examples in Python. We describe Publish-Subscribe messaging frameworks (Kafka & Kinesis), Source-Sink connectors (Flume), Database Connectors (Sqoop), Messaging Queues (RabbitMQ, ZeroMQ, RestMQ, Amazon SQS) and custom REST, WebSocket and MQTT-based connectors. The reader is introduced to data storage, batch and real-time analysis, and interactive querying frameworks including HDFS, Hadoop, MapReduce, YARN, Pig, Oozie, Spark, Solr, HBase, Storm, Spark Streaming, Spark SQL, Hive, Amazon Redshift and Google BigQuery. Also described are serving databases (MySQL, Amazon DynamoDB, Cassandra, MongoDB) and the Django Python web framework. Part III introduces the reader to various machine learning algorithms with examples using the Spark MLlib and H2O frameworks, and visualizations using frameworks such as Lightning, Pygal and Seaborn.

Marketing Data Science

Modeling Techniques in Predictive Analytics with R and Python

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 0133887340

Category: Business & Economics

Page: 225

View: 2227

Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Die subtile Kunst des darauf Scheißens

Author: Mark Manson

Publisher: MVG Verlag

ISBN: 3961210594

Category: Self-Help

Page: 224

View: 4379

Scheiß auf positives Denken sagt Mark Manson. Die ungeschönte Perspektive ist ihm lieber. Wenn etwas scheiße ist, dann ist es das eben. Und wenn man etwas nicht kann, dann sollte man dazu stehen. Nicht jeder kann in allem außergewöhnlich sein und das ist gut so. Wenn man seine Grenzen akzeptiert, findet man die Stärke, die man braucht. Denn es gibt so viele Dinge, auf die man im Gegenzug scheißen kann. Man muss nur herausfinden, welche das sind und wie man sie sich richtig am Arsch vorbeigehen lässt. So kann man sich dann auf die eigenen Stärken und die wichtigen Dinge besinnen und hat mehr Zeit, sein Potential gänzlich auszuschöpfen. Die subtile Kunst des darauf Scheißens verbindet unterhaltsame Geschichten und schonungslosen Humor mit hilfreichen Tipps für ein entspannteres und besseres Leben. Damit man seine Energie für sinnvolleres verwendet als für Dinge, die einem egal sein können.

Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes

Author: Chao, Lee

Publisher: IGI Global

ISBN: 1466699256

Category: Education

Page: 481

View: 2194

As technology advances, so must our education system. Cloud computing serves as an ideal method for e-learning thanks to its flexibility, affordability, and availability. Cloud-based learning is especially dynamic in STEM education, as it can significantly lower the cost of building cumbersome computer labs while fostering engaged learning and collaboration among students. The Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes prepares current and future instructors for exciting breakthroughs in STEM education driven by the advancement of cloud technologies. From virtual lab and app construction, to information sharing and course material distribution, this volume touches on a variety of topics related to the benefits and challenges of adopting cloud technologies in the classroom. This book is an invaluable reference for educators, technology professionals, administrators, and education students who wish to become leaders in their fields.

CompTIA Cloud+ Study Guide

Exam CV0-001

Author: Todd Montgomery

Publisher: John Wiley & Sons

ISBN: 111924322X

Category: Computers

Page: 360

View: 4917

CompTIA® Cloud+® Study Guide -- Acknowledgments -- About the Author -- Contents at a Glance -- Contents -- CompTIA -- Introduction -- Assessment Test -- Answers to Assessment Test -- Chapter 1 Cloud Computing Overview, Concepts, and Models -- Overview of Cloud Computing -- What Is Cloud Computing? -- Computing as a Utility Service -- The Growth of the Cloud -- Why Do This? -- Cloud vs. In-House Computing -- The Past of Computing -- Present State of Computing -- The Future of the Cloud -- Cloud Services Models and Architecture -- SaaS -- IaaS -- PaaS -- CaaS -- XaaS -- DaaS -- BPaaS

Python Crashkurs

Eine praktische, projektbasierte Programmiereinführung

Author: Eric Matthes

Publisher: dpunkt.verlag

ISBN: 3960881460

Category: Computers

Page: 622

View: 5288

"Python Crashkurs" ist eine kompakte und gründliche Einführung, die es Ihnen nach kurzer Zeit ermöglicht, Python-Programme zu schreiben, die für Sie Probleme lösen oder Ihnen erlauben, Aufgaben mit dem Computer zu erledigen. In der ersten Hälfte des Buches werden Sie mit grundlegenden Programmierkonzepten wie Listen, Wörterbücher, Klassen und Schleifen vertraut gemacht. Sie erlernen das Schreiben von sauberem und lesbarem Code mit Übungen zu jedem Thema. Sie erfahren auch, wie Sie Ihre Programme interaktiv machen und Ihren Code testen, bevor Sie ihn einem Projekt hinzufügen. Danach werden Sie Ihr neues Wissen in drei komplexen Projekten in die Praxis umsetzen: ein durch "Space Invaders" inspiriertes Arcade-Spiel, eine Datenvisualisierung mit Pythons superpraktischen Bibliotheken und eine einfache Web-App, die Sie online bereitstellen können. Während der Arbeit mit dem "Python Crashkurs" lernen Sie, wie Sie: - leistungsstarke Python-Bibliotheken und Tools richtig einsetzen – einschließlich matplotlib, NumPy und Pygal - 2D-Spiele programmieren, die auf Tastendrücke und Mausklicks reagieren, und die schwieriger werden, je weiter das Spiel fortschreitet - mit Daten arbeiten, um interaktive Visualisierungen zu generieren - Web-Apps erstellen und anpassen können, um diese sicher online zu deployen - mit Fehlern umgehen, die häufig beim Programmieren auftreten Dieses Buch wird Ihnen effektiv helfen, Python zu erlernen und eigene Programme damit zu entwickeln. Warum länger warten? Fangen Sie an!

Die Kunst des Game Designs

Bessere Games konzipieren und entwickeln

Author: Jesse Schell

Publisher: MITP-Verlags GmbH & Co. KG

ISBN: 3958452841

Category: Computers

Page: 680

View: 4748

Grundlagen der Entwicklung und Konzeption klassischer Spiele von einem der weltweit führenden Game Designer Mehr als 100 Regeln und zentrale Fragen zur Inspiration für den kreativen Prozess Zahlreiche wertvolle Denkanstöße für die Konzeption eines erfolgreichen Spiels Jeder kann die Grundlagen des Game Designs meistern – dazu bedarf es keines technischen Fachwissens. Dabei zeigt sich, dass die gleichen psychologischen Grundprinzipien, die für Brett-, Karten- und Sportspiele funktionieren, ebenso der Schlüssel für die Entwicklung qualitativ hochwertiger Videospiele sind. Mit diesem Buch lernen Sie, wie Sie im Prozess der Spielekonzeption und -entwicklung vorgehen, um bessere Games zu kreieren. Jesse Schell zeigt, wie Sie Ihr Game durch eine strukturierte methodische Vorgehensweise Schritt für Schritt deutlich verbessern. Mehr als 100 gezielte Fragestellungen eröffnen Ihnen dabei neue Perspektiven auf Ihr Game, so dass Sie die Features finden, die es erfolgreich machen. Hierzu gehören z.B. Fragen wie: Welche Herausforderungen stellt mein Spiel an die Spieler? Fördert es den Wettbewerb unter den Spielern? Werden sie dazu motiviert, gewinnen zu wollen? So werden über hundert entscheidende Charakteristika für ein gut konzipiertes Spiel untersucht. Mit diesem Buch wissen Sie, worauf es bei einem guten Game ankommt und was Sie alles bedenken sollten, damit Ihr Game die Erwartungen Ihrer Spieler erfüllt und gerne gespielt wird. Zugleich liefert es Ihnen jede Menge Inspiration – halten Sie beim Lesen Zettel und Stift bereit, um Ihre neuen Ideen sofort festhalten zu können

Cloud Computing als Anwendung Migration auf die Cloud-fähige Struktur

Migration in die Cloud

Author: Ayhan Karli

Publisher: GRIN Verlag

ISBN: 3656996830

Category: Computers

Page: 78

View: 6237

Bachelorarbeit aus dem Jahr 2012 im Fachbereich Informatik - Wirtschaftsinformatik, Note: keine, Marmara Üniversitesi, Sprache: Deutsch, Abstract: ABSTRACT Cloud computing has been a frequently discussed approach in recent years. This approach is based on applications and services being kept on the remote servers and usage of these application and services via devices with internet connection. In Cloud Computing all the resources and services are provided with “Pay as you use” model. Therefore, the businesses are able to choose and use an appropriate model for themselves without having to make new investments. In addition to lowering the operating costs it brings other benefits such as simplicity, flexibility, developing new business models. On the other hand, the most important question mark of the Cloud Computing is security issues. However these concerns are prevented with a variety of security measures. In this study, content, benefits, risks and in an architectural way the technical structure of the Cloud Computing are explained. In the last part of my study, a company’s computing processes are analyzed and according to the outcomes, a cloud computing model has been developed.

Cloud Migration

Author: Tobias Höllwarth

Publisher: MITP-Verlags GmbH & Co. KG

ISBN: 3826691776

Category:

Page: 291

View: 1406

Dieses Buch richtet sich an Manager und Unternehmer, die ber die konomisierung ihrer IT nachdenken m ssen. Und an Leser, die mehr ber die Cloud wissen, aber keine Spezialisten werden wollen. Das vorliegende Buch widmet sich ebenso umfassend wie fundiert den technischen, rechtlichen, steuerlichen, betriebswirtschaftlichen und kologischen Aspekten des Cloud Computing, dazu werden praxisrelevante Vorschl ge zur Anbieterauswahl und Zertifizierung gemacht sowie konkrete Checklisten zur Verf gung gestellt.

Cloud Computing Business in Saudi Arabia

An Examination of the Feasibility of Public Cloud Computing by Enterprise Businesses

Author: Nicholas Guantai

Publisher: GRIN Verlag

ISBN: 3656696454

Category: Computers

Page: 50

View: 5173

Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - Commercial Information Technology, grade: 4.5, Egerton University, language: English, abstract: Cloud computing has 3 primary service models including SaaS, IaaS and PaaS, which are classified depending on the level for which a service user interacts with the service provider’s systems in accessing memory, processing power and storage. Deployment models of cloud computing include hybrid, community, public and private clouds depending on the approach to hosting and the number of clients sharing a resource. Due to the prohibitive nature of private cloud computing and requirement for specialized systems in community clouds, the most suitable approach to cloud computing for small and medium enterprises is public cloud computing. In this regard, this study was aimed at determining the extent to which implementation of public cloud computing by enterprise companies is feasible. Due to the cultural and the absence of law in Saudi Arabia ensuring the protection of data in the cloud, challenges in implementing cloud computing in the country are related to adherence to the data governance structure. For instance, privacy and security are important for enterprise companies since the local culture values the safeguarding of family and individual information. In addition, information transferred through the cloud system must adhere to the conservative philosophy and data privacy, which limits the level of compatibility in cloud computing between Saudi Arabia and the western world. Since most service providers are based in the west, companies have to identify a service provider that tailors its products to suit the market in Saudi Arabia. Therefore, implementation of public cloud computing in Saudi Arabia is feasible as long as companies select a service provider with a positive reputation, limit posting of sensitive information to the cloud server, and implement cloud computing gradually to avert the possibility of complete failure. This study determined that SaaS cloud computing is feasible for enterprise companies in Saudi Arabia, but further study is required to examine the feasibility of IaaS and PaaS. In addition, a larger study should be done to collect quantitative data to determine the implications of cloud computing in a representative sample.

Mobile App Testing

Praxisleitfaden für Softwaretester und Entwickler mobiler Anwendungen

Author: Daniel Knott

Publisher: dpunkt.verlag

ISBN: 396088057X

Category: Computers

Page: 256

View: 3140

Mobile Applikationen unterliegen strengen Vorgaben an Zuverlässigkeit, Benutzerfreundlichkeit, Sicherheit und Performance. Jedoch verfügen nicht alle App-Entwickler und Softwaretester gleichermaßen über ausreichende Testkenntnisse in diesem neuen Anwendungsbereich mit seinen speziellen Herausforderungen. Dieses Buch bietet einen kompakten Einstieg in das Testen mobiler Anwendungen, insbesondere für die Android- und die iOS-Plattform. Nach einer Einführung in Mobilgeräte und Apps sowie mobile Plattformen geht der Autor vertieft auf Betriebssystem-Apps, Sensoren und Schnittstellen ein. In jedem Kapitel findet der Leser praktische Anleitungen für App-spezifische Funktionalitätstests, Benutzbarkeitstests, Stress- und Robustheitstests, Performanztests und Sicherheitstests. Des Weiteren wird beschrieben, wie Fehler innerhalb einer App erfasst werden können. Ein zentraler Bestandteil des Buches ist die Testautomatisierung von mobilen Anwendungen mit den dafür benötigten Werkzeugen. Es werden unterschiedliche Werkzeuge beschrieben und ein Kriterienkatalog zur Auswahl geeigneter Werkzeuge zur Verfügung gestellt. Auch spezifische Testmethoden wie Crowd- oder Cloud-Testen speziell für mobile Applikationen werden behandelt sowie unterschiedliche Teststrategien und Veröffentlichungsstrategien erörtert, um mobile Anwendungen erfolgreich zu vermarkten. Zum Abschluss geht der Autor auf neue Technologietrends wie IoT sowie Businessmodelle für Apps ein.

Network Data Analytics

A Hands-On Approach for Application Development

Author: K. G. Srinivasa,Siddesh G. M.,Srinidhi H.

Publisher: Springer

ISBN: 3319778005

Category: Computers

Page: 398

View: 8059

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.

A Complete Guide to Cloud Computing

Author: Ivanka Menken

Publisher: Emereo Pty Limited

ISBN: 9781921573002

Category: Computers

Page: 171

View: 4166

Everything you wanted to know about Cloud Computing but were afraid to ask. This book would be more appropriately titled "The Encyclopaedia of Cloud Computing." It covers just about every aspect of Cloud Computing you would be concerned about, from high-level overviews of the different technologies that might be appropriate for upper management, to a very nice series of "hands on" chapters that walk you through experimenting with several of the Cloud Computing options. Whether you need a quick primer on Cloud Computing so you can talk shop with those with more detailed knowledge, or want to get a sense of the benefits of the different technologies and how they fit into the big picture of the data center, this book is an invaluable resource. It gives you the vocabulary and understanding of how all the pieces fit together that websites and technical manuals often miss. A must-buy comprehensive introduction. This book assumes you know nothing about Cloud Computing and quickly reviews some of the buzzwords that frequently get thrown around. It provides a detailed introduction to key topics including Options, and managing a Cloud Computing Project. For business analysts, there is an informative chapter on cost-benefit analysis and several chapters on best practices and pitfalls. With energy costs, flexibility and scalability becoming a major factor in IT budgets, Cloud Computing will become even more widespread in the future. This is the best introductory book for practitioners and delivers a great overview of the complex world of Cloud Computing, it provides a broad and comprehensive view of the complex world of Cloud Computing, covering a large amount of territory. All of the major Cloud Computing technologies are discussed, along with the various drivers for implementing Cloud Computing, and how to manage migrating to a Cloud Computing environment. What makes this book stand out from most other resources on the topic is its tone. You're helpfully guided through the issues and tradeoffs in making a number of decisions on the what, where, when and how of Cloud Computing. This is extremely helpful for an IT manager who needs to come up to speed in a short period of time. This book is a Well-written technical overview with a great business focus, it is written in a conversational style that contains very clear, succinct conceptual information and technical details interspersed with very pertinent and well-focused stories. The writing style and very well organized structural approach to the topics makes this book very readable by technology analysts, CIOs, and technical project managers who need to be able see the big picture of the "forest through the trees" in order to understand the total corporate ROI issues with Cloud Computing technology. Conversely, the book is well suited to industry technologist and software engineers who want to obtain a quick basic working knowledge of the "detailed roots" of Cloud Computing technology but otherwise would never have been exposed to the broader applicability and global consequences of this very fundamental approach. The well-organized structure of the book as independent parts, each containing independent chapters, makes it possible to pick and chose what information or level of technical detail is of interest to the reader while still allowing for interrelated topics to be introduced in the proper logically dependent sequence. Chapters such as "Common Terminology," "Companies involved in Cloud Computing," "Why Cloud Computing?," "Benefits of Cloud Computing," "Cloud Computing Technologies," "Components of Cloud Computing," "Migration to Cloud Computing" and "Contracts, Agreements and Legal Implications" are precisely what CIOs, IT managers, and technologists need to know.

Guide to Cloud Computing

Principles and Practice

Author: Richard Hill,Laurie Hirsch,Peter Lake,Siavash Moshiri

Publisher: Springer Science & Business Media

ISBN: 1447146034

Category: Computers

Page: 278

View: 8663

This book describes the landscape of cloud computing from first principles, leading the reader step-by-step through the process of building and configuring a cloud environment. The book not only considers the technologies for designing and creating cloud computing platforms, but also the business models and frameworks in real-world implementation of cloud platforms. Emphasis is placed on “learning by doing,” and readers are encouraged to experiment with a range of different tools and approaches. Topics and features: includes review questions, hands-on exercises, study activities and discussion topics throughout the text; demonstrates the approaches used to build cloud computing infrastructures; reviews the social, economic, and political aspects of the on-going growth in cloud computing use; discusses legal and security concerns in cloud computing; examines techniques for the appraisal of financial investment into cloud computing; identifies areas for further research within this rapidly-moving field.

Extending OpenStack

Leverage extended OpenStack projects to implement containerization, deployment, and architecting robust cloud solutions

Author: Omar Khedher

Publisher: Packt Publishing Ltd

ISBN: 1786466139

Category: Computers

Page: 300

View: 3693

Discover new opportunities to empower your private cloud by making the most of the OpenStack universe Key Features This practical guide teaches you how to extend the core functionalities of OpenStack Discover OpenStack's flexibility by writing custom applications and network plugins Deploy a containerized environment in OpenStack through a hands-on and example-driven approach Book Description OpenStack is a very popular cloud computing platform that has enabled several organizations during the last few years to successfully implement their Infrastructure as a Service (IaaS) platforms. This book will guide you through new features of the latest OpenStack releases and how to bring them into production straightaway in an agile way. It starts by showing you how to expand your current OpenStack setup and how to approach your next OpenStack Data Center generation deployment. You will discover how to extend your storage and network capacity and also take advantage of containerization technology such as Docker and Kubernetes in OpenStack. Additionally, you'll explore the power of big data as a Service terminology implemented in OpenStack by integrating the Sahara project. This book will teach you how to build Hadoop clusters and launch jobs in a very simple way. Then you'll automate and deploy applications on top of OpenStack. You will discover how to write your own plugin in the Murano project. The final part of the book will go through best practices for security such as identity, access management, and authentication exposed by Keystone in OpenStack. By the end of this book, you will be ready to extend and customize your private cloud based on your requirements. What you will learn Explore new incubated projects in the OpenStack ecosystem and see how they work Architect your OpenStack private cloud with extended features of the latest versions Consolidate OpenStack authentication in your large infrastructure to avoid complexity Find out how to expand your computing power in OpenStack on a large scale Reduce your OpenStack storage cost management by taking advantage of external tools Provide easy, on-demand, cloud-ready applications to developers using OpenStack in no time Enter the big data world and find out how to launch elastic jobs easily in OpenStack Boost your extended OpenStack private cloud performance through real-world scenarios Who this book is for This book is for system administrators, cloud architects, and developers who have experience working with OpenStack and are ready to step up and extend its functionalities. A good knowledge of basic OpenStack components is required. In addition, familiarity with Linux boxes and a good understanding of network and virtualization jargon is required.