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Emerging Technology Strategies and the Great Global Grid The next generation of the Internet will produce dramatic economic and social changes exceeding even the World Wide Web. Several emerging technologies are converging to create a Great Global Grid infrastructure where universal connectivity to large computing resources will be available for consumers and enterprises. The goal of this book is to provide a systematic survey of the full spectrum of Great Global Grid technologies from an enterprise viewpoint. The Great Global Grid - The range of technologies comprising the Great Global Grid is very wide. One of the main contributions of the book is to categorize these technologies in detail and to explain the dependencies among them. The technologies include: Application Servers and Portals Enterprise Application Integration and B2B Middleware Web Services and XML Messaging Peer-to-Peer Collaboration Pervasive Computing: Middleware and Software Platforms Distributed Resource Managers, Clusters and Grids Global Grid Middleware Conclusions for the Future Emerging Technology Strategies - The book does not hype these technologies or their benefits. Section 1 of the book describes examples of past emerging technologies that failed to realize their initial vision. Based on the lessons learned from these experiences, a pragmatic technology evaluation template is created that includes: Overview of the technology Relationships to other technologies Important technical and business trends Specific applications Industry and official standards Vendor overview by application area Leading implementation approaches Advice on deployment Future technical and business directions Recommendations Audience - The information collected in this book is not available from any other single source. The broad range of technologies, standards and vendors covered is necessary to understand the future enterprise applications of the Internet. The following groups should find the contents of this book especially valuable. Decision makers for the evaluation strategy and discussions of current products, standards and open issues Developers and architects for the overview of many advanced software technologies and their relationships Consultants for the industry analysis of vendors and business applications Futurists for the trends and research that are the basis of the next generation Internet Students for the industrial applications and open source projects
Investigates the systems of infrastructure that sustain the world and the cultures of historical periods, following various elements, from electricity and pavement to water and waste disposal, back to their origins and people who operate them.
"This book provides a compendium of terms, definitions, and explanations of concepts, issues, and trends in grid technology"--Provided by publisher.
This book deals with Anna University Regulation 2013 for the Syllabus CS 6703 Introduction to Grid and Cloud Computing. There are Five units covered in this book. Following are the unit plan of the book. UNIT I INTRODUCTION Evolution of Distributed computing: Scalable computing over the Internet – Technologies for network based systems – clusters of cooperative computers – Grid computing Infrastructures – cloud computing – service oriented architecture – Introduction to Grid Architecture and standards – Elements of Grid – Overview of Grid Architecture. UNIT II GRID SERVICES – Introduction to Open Grid Services Architecture (OGSA) – Motivation – Functionality Requirements – Practical & Detailed view of OGSA/OGSI – Data intensive grid service models – OGSA services. UNIT III VIRTUALIZATION – Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software – Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation. UNIT IV PROGRAMMING MODEL – Open source grid middleware packages – Globus Toolkit (GT4) Architecture, Configuration – Usage of Globus – Main components and Programming model – Introduction to Hadoop Framework – Mapreduce, Input splitting, map and reduce functions, specifying input and output parameters, configuring and running a job – Design of Hadoop file system, HDFS concepts, command line and java interface, dataflow of File read & File write. UNIT V SECURITY – Trust models for Grid security environment – Authentication and Authorization methods – Grid security infrastructure – Cloud Infrastructure security: network, host and application level – aspects of data security, provider data and its security, Identity and access management architecture, IAM practices in the cloud, SaaS, PaaS, IaaS availability in the cloud, Key privacy issues in the cloud.
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing. - Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing - Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more - Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery - Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online
This book constitutes the joint refereed proceedings of five international workshops held in association with the Third International Conference on Grid and Cooperative Computing, GCC 2004, in Wuhan, China in October 2004. The 95 revised workshop papers presented were carefully reviewed and selected from a total of 154 submissions. In accordance with the workshop titles, the papers are organized in topical sections on the information grid and knowledge grid; storage grid and technologies; information security and survivability for the grid; agents, autonomic computing, and grid enabled virtual organization; and visualization and visual steering.
Smart Energy Grid Engineering provides in-depth detail on the various important engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. Governments around the world are investing heavily in smart energy grids to ensure optimum energy use and supply, enable better planning for outage responses and recovery, and facilitate the integration of heterogeneous technologies such as renewable energy systems, electrical vehicle networks, and smart homes around the grid. By looking at case studies and best practices that illustrate how to implement smart energy grid infrastructures and analyze the technical details involved in tackling emerging challenges, this valuable reference considers the important engineering aspects of design and implementation, energy generation, utilization and energy conservation, intelligent control and monitoring data analysis security, and asset integrity. - Includes detailed support to integrate systems for smart grid infrastructures - Features global case studies outlining design components and their integration within the grid - Provides examples and best practices from industry that will assist in the migration to smart grids
This book constitutes the refereed proceedings of the 6th International Conference on Web-Age Information Management, WAIM 2005, held in Hangzhou, China, in October 2005. The 48 revised full papers, 50 revised short papers and 4 industrial papers presented together with 3 invited contributions were carefully reviewed and selected from 486 submissions. The papers are organized in topical sections on XML, performance and query evaluation, data mining, semantic Web and Web ontology, data management, information systems, Web services and workflow, data grid and database languages, agent and mobile data, database application and transaction management, and 3 sections with industrial, short, and demonstration papers.
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A decade ago, the corporate world viewed grid computing as a curiosity. Today, it views it as an opportunity--a chance to reduce costs, improve performance, fund new projects, and take advantage of under-utilized capacity. The engineering behind this transformation has been amply documented. Until now, however, little has been written to prepare managers, executives, and other decision-makers to implement grid computing in a sensible and effective way.Grid Computing: The Savvy Manager's Guide examines the technology from a rigorous business perspective, equipping you with the practical knowledge you need to assess your options and determine what grid computing approach is right for your enterprise. This book is heavy on real-world experience, distilling from a rich assortment of case studies the best practices currently at work in a variety of industries. Always attentive to grid computing's many competitive advantages, it is also realistic about the challenges of selling the idea to staff and making it a part of your company's culture. - Sketches the history of grid computing, showing how it made the leap from academia to business. - Examines the criteria you'll need to meet to make your network "grid-enabled." - Explains how a grid-based solution can be made to meet key organizational requirements, including security, scheduling, data storage, and fault-tolerance. - Surveys the approaches currently available and helps you choose the one that will best meet your needs, both now and in the future. - Focuses heavily on the competitive advantages you can reap from grid computing, and provides advice on convincing your organization to adopt grid computing and making a successful transition.