Moving Hadoop To The Cloud

Download Moving Hadoop To The Cloud full books in PDF, epub, and Kindle. Read online Moving Hadoop To The Cloud ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Moving Hadoop to the Cloud

Author : Bill Havanki
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491959584
Total Pages : 338 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Moving Hadoop to the Cloud by : Bill Havanki

Download or read book Moving Hadoop to the Cloud written by Bill Havanki and published by "O'Reilly Media, Inc.". This book was released on 2017-07-14 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines. This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You’ll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You’ll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage Build a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require Explore use cases for high availability, relational data with Hive, and complex analytics with Spark Get patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance

Moving Hadoop to the Cloud

Author : Bill Havanki
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491959606
Total Pages : 336 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Moving Hadoop to the Cloud by : Bill Havanki

Download or read book Moving Hadoop to the Cloud written by Bill Havanki and published by "O'Reilly Media, Inc.". This book was released on 2017-07-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines. This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You’ll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You’ll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage Build a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require Explore use cases for high availability, relational data with Hive, and complex analytics with Spark Get patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance

Software Testing in the Cloud

Author : Scott Tilley
Publisher : Springer Science & Business Media
ISBN 13 : 3642321224
Total Pages : 111 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Software Testing in the Cloud by : Scott Tilley

Download or read book Software Testing in the Cloud written by Scott Tilley and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: For a large, complex system, the amount of test cases in a regression test suite can range from a few hundred to several thousands, which can take hours or even days to execute. Regression testing also requires considerable resources that are often not readily available. This precludes their use in an interactive setting, further contributing to an inefficient testing process. Cloud computing offers the use of virtualized hardware, effectively unlimited storage, and software services that can help reduce the execution time of large test suites in a cost-effective manner. The research presented by Tilley and Parveen leverages the resources provided by cloud computing infrastructure to facilitate the concurrent execution of test cases. They introduce a decision framework called SMART-T to support migration of software testing to the cloud, a distributed environment called HadoopUnit for the concurrent execution of test cases in the cloud, and a series of case studies illustrating the use of the framework and the environment. Experimental results indicate a significant reduction in test execution time is possible when compared with a typical sequential environment. Software testing in the cloud is a subject of high interest for advanced practitioners and academic researchers alike. For advanced practitioners, the issue of cloud computing and its impact on the field of software testing is becoming increasingly relevant. For academic researchers, this is a subject that is replete with interesting challenges; there are so many open problems that graduate students will be busy for years to come. To further disseminate results in this field, the authors created a community of interest called “Software Testing in the Cloud” (www.STITC.org), and they encourage all readers to get involved in this exciting new area.

Databases and Information Systems X

Author : A. Lupeikiene
Publisher : IOS Press
ISBN 13 : 1614999414
Total Pages : 298 pages
Book Rating : 4.6/5 (149 download)

DOWNLOAD NOW!

Book Synopsis Databases and Information Systems X by : A. Lupeikiene

Download or read book Databases and Information Systems X written by A. Lupeikiene and published by IOS Press. This book was released on 2019-01-30 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of databases and information systems to the functioning of 21st century life is indisputable. This book presents papers from the 13th International Baltic Conference on Databases and Information Systems, held in Trakai, Lithuania, from 1- 4 July 2018. Since the first of these events in 1994, the Baltic DB&IS has proved itself to be an excellent forum for researchers, practitioners and PhD students to deliver and share their research in the field of advanced information systems, databases and related areas. For the 2018 conference, 69 submissions were received from 15 countries. Each paper was assigned for review to at least three referees from different countries. Following review, 24 regular papers were accepted for presentation at the conference, and from these presented papers the 14 best-revised papers have been selected for publication in this volume, together with a preface and three invited papers written by leading experts. The selected revised and extended papers present original research results in a number of subject areas: information systems, requirements and ontology engineering; advanced database systems; internet of things; big data analysis; cognitive computing; and applications and case studies. These results will contribute to the further development of this fast-growing field, and will be of interest to all those working with advanced information systems, databases and related areas.

Mastering Apache Hadoop

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.8/5 (618 download)

DOWNLOAD NOW!

Book Synopsis Mastering Apache Hadoop by : Cybellium Ltd

Download or read book Mastering Apache Hadoop written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Big Data Processing with Apache Hadoop Ecosystem Are you ready to embark on a journey into the world of big data processing and analysis using Apache Hadoop? "Mastering Apache Hadoop" is your comprehensive guide to understanding and harnessing the capabilities of Hadoop for processing and managing massive datasets. Whether you're a data engineer seeking to optimize processing pipelines or a business analyst aiming to extract insights from large data, this book equips you with the knowledge and tools to master the art of Hadoop-based data processing. Key Features: 1. Deep Dive into Hadoop Ecosystem: Immerse yourself in the core components and concepts of the Apache Hadoop ecosystem. Understand the architecture, components, and functionalities that make Hadoop a powerful platform for big data. 2. Installation and Configuration: Master the art of installing and configuring Hadoop on various platforms. Learn about cluster setup, resource management, and configuration settings for optimal performance. 3. Hadoop Distributed File System (HDFS): Uncover the power of HDFS for distributed storage and data management. Explore concepts like replication, fault tolerance, and data placement to ensure data durability. 4. MapReduce and Data Processing: Delve into MapReduce, the core data processing paradigm in Hadoop. Learn how to write MapReduce jobs, optimize performance, and leverage parallel processing for efficient data analysis. 5. Data Ingestion and ETL: Discover techniques for ingesting and transforming data in Hadoop. Explore tools like Apache Sqoop and Apache Flume for extracting data from various sources and loading it into Hadoop. 6. Data Querying and Analysis: Master querying and analyzing data using Hadoop. Learn about Hive, Pig, and Spark SQL for querying structured and semi-structured data, and uncover insights that drive informed decisions. 7. Data Storage Formats: Explore data storage formats optimized for Hadoop. Learn about Avro, Parquet, and ORC, and understand how to choose the right format for efficient storage and retrieval. 8. Batch and Stream Processing: Uncover strategies for batch and real-time data processing in Hadoop. Learn how to use Apache Spark and Apache Flink to process data in both batch and streaming modes. 9. Data Visualization and Reporting: Discover techniques for visualizing and reporting on Hadoop data. Explore integration with tools like Apache Zeppelin and Tableau to create compelling visualizations. 10. Real-World Applications: Gain insights into real-world use cases of Apache Hadoop across industries. From financial analysis to social media sentiment analysis, explore how organizations are leveraging Hadoop's capabilities for data-driven innovation. Who This Book Is For: "Mastering Apache Hadoop" is an essential resource for data engineers, analysts, and IT professionals who want to excel in big data processing using Hadoop. Whether you're new to Hadoop or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of big data technology.

Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments

Author : Ionita, Anca Daniela
Publisher : IGI Global
ISBN 13 : 1466624892
Total Pages : 420 pages
Book Rating : 4.4/5 (666 download)

DOWNLOAD NOW!

Book Synopsis Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments by : Ionita, Anca Daniela

Download or read book Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments written by Ionita, Anca Daniela and published by IGI Global. This book was released on 2012-11-30 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents a closer look at the partnership between service oriented architecture and cloud computing environments while analyzing potential solutions to challenges related to the migration of legacy applications"--Provided by publisher.

Networks of the Future

Author : Mahmoud Elkhodr
Publisher : CRC Press
ISBN 13 : 1498783988
Total Pages : 513 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Networks of the Future by : Mahmoud Elkhodr

Download or read book Networks of the Future written by Mahmoud Elkhodr and published by CRC Press. This book was released on 2017-10-16 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive introduction to the latest research in networking Explores implementation issues and research challenges Focuses on applications and enabling technologies Covers wireless technologies, Big Data, IoT, and other emerging research areas Features contributions from worldwide experts

Distributed Computing and Internet Technology

Author : Atul Negi
Publisher : Springer
ISBN 13 : 3319723448
Total Pages : 343 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Distributed Computing and Internet Technology by : Atul Negi

Download or read book Distributed Computing and Internet Technology written by Atul Negi and published by Springer. This book was released on 2018-01-03 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Distributed Computing and Internet Technology, ICDCIT 2018, held in Bhubaneswar, India, in January 2018. The 9 full papers, 11 short papers and 3 poster papers presented in this book were carefully reviewed and selected from 120 submissions. The ICDCIT conference focusses on security and privacy; distributed and multiprocessing approaches; networks protocols and applications; and databases, algorithms, data processing and applications.

Handbook of Research on Big Data Storage and Visualization Techniques

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1522531432
Total Pages : 917 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Big Data Storage and Visualization Techniques by : Segall, Richard S.

Download or read book Handbook of Research on Big Data Storage and Visualization Techniques written by Segall, Richard S. and published by IGI Global. This book was released on 2018-01-05 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Architecting Modern Data Platforms

Author : Jan Kunigk
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491969229
Total Pages : 636 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Architecting Modern Data Platforms by : Jan Kunigk

Download or read book Architecting Modern Data Platforms written by Jan Kunigk and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Mastering Hadoop 3

Author : Chanchal Singh
Publisher : Packt Publishing Ltd
ISBN 13 : 1788628322
Total Pages : 544 pages
Book Rating : 4.7/5 (886 download)

DOWNLOAD NOW!

Book Synopsis Mastering Hadoop 3 by : Chanchal Singh

Download or read book Mastering Hadoop 3 written by Chanchal Singh and published by Packt Publishing Ltd. This book was released on 2019-02-28 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to mastering the most advanced Hadoop 3 concepts Key FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystemSharpen your Hadoop skills with real-world case studies and codeBook Description Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines. What you will learnGain an in-depth understanding of distributed computing using Hadoop 3Develop enterprise-grade applications using Apache Spark, Flink, and moreBuild scalable and high-performance Hadoop data pipelines with security, monitoring, and data governanceExplore batch data processing patterns and how to model data in HadoopMaster best practices for enterprises using, or planning to use, Hadoop 3 as a data platformUnderstand security aspects of Hadoop, including authorization and authenticationWho this book is for If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

Information Systems

Author : Marinos Themistocleous
Publisher : Springer
ISBN 13 : 3030113957
Total Pages : 562 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Information Systems by : Marinos Themistocleous

Download or read book Information Systems written by Marinos Themistocleous and published by Springer. This book was released on 2019-01-11 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers from the 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, held in Limassol, Cyprus, in October 2018. EMCIS is dedicated to the definition and establishment of Information Systems as a discipline of high impact for the methodical community and IS professionals, focusing on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline. The 34 full and 8 short papers presented in this volume were carefully reviewed and selected from a total of 108 submissions. They were organized in topical sections named: blockchain technology and applications; big data and analytics; cloud computing; digital services and social media; e-government; healthcare information systems; IT governance; and management and organizational issues in information systems.

Architecting Modern Data Platforms

Author : Jan Kunigk
Publisher : O'Reilly Media
ISBN 13 : 1491969245
Total Pages : 633 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Architecting Modern Data Platforms by : Jan Kunigk

Download or read book Architecting Modern Data Platforms written by Jan Kunigk and published by O'Reilly Media. This book was released on 2018-12-05 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Databases and Information Systems

Author : Audrone Lupeikiene
Publisher : Springer
ISBN 13 : 3319975714
Total Pages : 392 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Databases and Information Systems by : Audrone Lupeikiene

Download or read book Databases and Information Systems written by Audrone Lupeikiene and published by Springer. This book was released on 2018-08-14 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Baltic Conference on Databases and Information Systems, DB&IS 2018, held in Trakai, Lithuania, in July 2018. The 24 revised papers presented were carefully reviewed and selected from 69 submissions. The papers are centered around topics like information systems engineering, enterprise information systems, business process management, knowledge representation, ontology engineering, systems security, information systems applications, database systems, machine learning, big data analysis, big data processing, cognitive computing.

Handbook of Research on Cloud Computing and Big Data Applications in IoT

Author : Gupta, B. B.
Publisher : IGI Global
ISBN 13 : 1522584080
Total Pages : 609 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Cloud Computing and Big Data Applications in IoT by : Gupta, B. B.

Download or read book Handbook of Research on Cloud Computing and Big Data Applications in IoT written by Gupta, B. B. and published by IGI Global. This book was released on 2019-04-12 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.

Deep Learning and Big Data for Intelligent Transportation

Author : Khaled R. Ahmed
Publisher : Springer Nature
ISBN 13 : 3030656616
Total Pages : 264 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning and Big Data for Intelligent Transportation by : Khaled R. Ahmed

Download or read book Deep Learning and Big Data for Intelligent Transportation written by Khaled R. Ahmed and published by Springer Nature. This book was released on 2021-04-10 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.

Big Data Analytics and Cloud Computing

Author : Syed Thouheed Ahmed
Publisher : MileStone Research Publications
ISBN 13 : 9354738281
Total Pages : 101 pages
Book Rating : 4.3/5 (547 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics and Cloud Computing by : Syed Thouheed Ahmed

Download or read book Big Data Analytics and Cloud Computing written by Syed Thouheed Ahmed and published by MileStone Research Publications. This book was released on 2021-09-05 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment