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Cloud Computing A Hands On Approach

Author: Arshdeep Bahga
Publisher: CreateSpace Independent Publishing Platform
ISBN: 1494435144
Size: 32.67 MB
Format: PDF
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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

Author: Arshdeep Bahga
Publisher: Vijay Madisetti
ISBN:
Size: 11.66 MB
Format: PDF, ePub, Docs
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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
Publisher: VPT
ISBN: 0996025510
Size: 72.72 MB
Format: PDF, ePub, Docs
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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

Author: Arshdeep Bahga
Publisher: Vpt
ISBN: 9780996025539
Size: 31.64 MB
Format: PDF, Mobi
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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.

Comptia Cloud Study Guide

Author: Todd Montgomery
Publisher: John Wiley & Sons
ISBN: 1119243238
Size: 24.63 MB
Format: PDF, ePub, Mobi
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A hands-on approach to cloud computing for Exam CV0-001 CompTIA Cloud+ Study Guide covers 100% of all exam CV0-001objectives with in-depth explanations from expert Todd Montgomery. This comprehensive resource covers all aspects of cloud computing infrastructure and administration, with a practical focus on real-world skills. Each chapter includes a list of exam topics, helpful hands-on exercises, and illustrative examples that show how concepts are applied in different scenarios, to help you build a solid foundation of cloud computing skills. You also gain access to the Sybex interactive online learning environment and test bank, featuring electronic flashcards, glossary of key terms, and chapter tests and practice exams that help you test your knowledge and gauge the extent of your understanding. CompTIA's Cloud+ certification covers the implementation, maintenance, delivery, and security of cloud technologies and infrastructure. With thorough coverage, practical instruction, and expert insight, this book provides an ideal resource for Exam CV0-001 preparation. Master the fundamental concepts, terminology, and characteristics of cloud computing Implement cloud solutions, manage the infrastructure, and monitor performance Install, configure, and manage virtual machines and devices Get up to speed on hardware, testing, deployment, and more The Cloud+ certification identifies you as the professional these companies need to ensure safe, seamless, functional cloud services, and The CompTIA Cloud+ Study Guide Exam CV0-001 provides the tools you need to be confident on exam day.

Software Engineering

Author: Roger Y. Lee
Publisher: Nova Science Publishers
ISBN: 9781536125528
Size: 74.34 MB
Format: PDF, ePub, Docs
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This book covers the core concepts and principles of software engineering through the design and implementation of a software engineering semester project from a primarily object-oriented approach. The book provides the reader with an in-depth discussion of software engineering principles and its foundation accompanied with a review of fundamental object-oriented skills. The reader then learns the software engineering life cycle and principles, including how to model with UML before introducing them to the second part of the book: The Software Engineering Project. The reader learns specific technical activities such as scheduling, communication, documentation, and the ability to embrace change. Following the initial elicitation oSf requirements, including important functional vs non-functional requirements, the reader is introduced to object-oriented analysis and its role during the development process. The reader will learn how to identify and use cases, develop scenarios, model, and much more. Once the specifications and models are implemented, the book focuses on system and object-oriented design. This is accompanied with a discussion of how to integrate and define various components functionally, structurally, and from an object-oriented approach. During implementation, the reader will learn the process of planning and executing system design plans, which are divided among different developers. Once the software product has been developed, the book covers testing, including documentation on how to plan, create, and utilize tests to ensure the readiness of the software. When complete, the reader will learn the guiding principles to finish, release, and maintain the software going forward. The latter half of the text introduces emerging topics in software engineering, including: Web engineering, cloud computing, agile development, and big data. Web engineering provides an overview of how it differs from traditional software engineering, and the various methods and techniques it encompasses. Cloud computing, a rapidly evolving area in many industries, explores the various service and deployment models, highlighting the benefits and limitations of each. Many users are still realizing the benefits to developing in the cloud and how it can support an agile development environment. Agile development, the ability to adapt to change during development, is rapidly emerging, facilitated with the emergence of cloud computing and big data advancements. Arguably the biggest challenge being worked on by software engineers is the challenge of big data. Emerging technologies such as Apache Storm are being used to process big data. The ability to rapidly and efficiently store and process big data is a large area of research, with new advancements happening daily.

A Complete Guide To Cloud Computing

Author: Ivanka Menken
Publisher: Emereo Pty Limited
ISBN: 9781921573002
Size: 31.27 MB
Format: PDF, Mobi
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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.

Cloud Computing Explained

Author: John Rhoton
Publisher: Recursive Limited
ISBN: 9780956355607
Size: 34.10 MB
Format: PDF, Mobi
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Providing an overview of Cloud Computing in an enterprise environment, this resource describes the benefits and challenges of Cloud Computing and then leads the reader through the process of assessing the suitability of a cloud-based approach for a given situation.

Cloud Computing Advanced Business And It Strategies

Author: Philippe A. Abdoulaye
Publisher: Lulu Press, Inc
ISBN: 1304941655
Size: 78.43 MB
Format: PDF, Mobi
View: 5585
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Cloud Computing is the IT services delivery model of the near future. The problem is, there there are very few experts that have hands-on understanding of its competitive and organizational impacts. The vast majority of books address the technical details of cloud, but few emphasize its implementation and deployment at the scale of the enterprise. This book provides the models, concepts, and methodologies you need to be successful in your organization's transition to cloud. Through his 23-year IT Transformation background, Philippe Abdoulaye brings a project-oriented approach to cloud transition, with several techniques needed to accelerate adoption of cloud services. The book begins with a definition of the competitive perspective of cloud, provides insights into the cloud-oriented business model, and details through a complete business an agile approach to cloud transition addressing issues as critical IT operating model transformation, SaaS application architecting, and datacenter transformation.

Guide To Cloud Computing

Author: Richard Hill
Publisher: Springer Science & Business Media
ISBN: 1447146034
Size: 57.70 MB
Format: PDF, ePub, Mobi
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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.