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Cloud S Selection Of Data To Address Planning Issues
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Book Synopsis Cloud, S. Selection of data to address planning issues by :
Download or read book Cloud, S. Selection of data to address planning issues written by and published by . This book was released on 1979 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Cloud Computing for Data-Intensive Applications by : Xiaolin Li
Download or read book Cloud Computing for Data-Intensive Applications written by Xiaolin Li and published by Springer. This book was released on 2014-12-02 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies. Cloud Computing for Data-Intensive Applications targets advanced-level students and researchers studying computer science and electrical engineering. Professionals working in cloud computing, networks, databases and more will also find this book useful as a reference.
Author :Dr. A. Karunamurthy Publisher :Quing: International Journal of Innovative Research in Science and Engineering ISBN 13 : Total Pages :23 pages Book Rating :4./5 ( download)
Book Synopsis Cloud Database: Empowering Scalable and Flexible Data Management by : Dr. A. Karunamurthy
Download or read book Cloud Database: Empowering Scalable and Flexible Data Management written by Dr. A. Karunamurthy and published by Quing: International Journal of Innovative Research in Science and Engineering. This book was released on 2023-03-30 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper explores the concept of cloud database, which leverages the power of cloud computing to provide scalable and flexible data management solutions. It discusses the benefits, challenges, and considerations associated with adopting cloud databases, along with various architectural models and deployment options. The chapter also delves into the key features, such as elasticity, high availability, and data security, offered by cloud databases. Furthermore, it examines the role of cloud databases in modern applications, including their integration with other cloud services and their ability to support big data analytics. The chapter concludes by highlighting future trends and advancements in cloud database technologies.
Book Synopsis Monthly Catalog of United States Government Publications by :
Download or read book Monthly Catalog of United States Government Publications written by and published by . This book was released on 1988 with total page 1302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fast and Scalable Cloud Data Management by : Felix Gessert
Download or read book Fast and Scalable Cloud Data Management written by Felix Gessert and published by Springer Nature. This book was released on 2020-05-15 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.
Book Synopsis Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by : Velayutham, Sathiyamoorthi
Download or read book Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing written by Velayutham, Sathiyamoorthi and published by IGI Global. This book was released on 2021-01-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.
Book Synopsis Cloud Computing for Geospatial Big Data Analytics by : Himansu Das
Download or read book Cloud Computing for Geospatial Big Data Analytics written by Himansu Das and published by Springer. This book was released on 2018-12-11 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.
Book Synopsis Implementing Effective IT Governance and IT Management by : Gad J. Selig
Download or read book Implementing Effective IT Governance and IT Management written by Gad J. Selig and published by Van Haren. This book was released on 2015-02-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a revised edition of the best selling title Implementing IT Governance (ISBN 978 90 8753 119 5).For trainers free additional material of this book is available. This can be found under the "Training Material" tab. Log in with your trainer account to access the material.In all enterprises around the world, the issues, opportunities and challenges of aligning IT more closely with the organization and effectively governing an organization s IT investments, resources, major initiatives and superior uninterrupted service is becoming a major concern of the Board and executive management. An integrated and comprehensive approach to the alignment, planning, execution and governance of IT and its resources has become critical to more effectively align, integrate, invest, measure, deploy, service and sustain the strategic and tactical direction and value proposition of IT in support of organizations.Much has been written and documented about the individual components of IT Governance such as strategic planning, demand management, program and project management, IT service management, strategic sourcing and outsourcing, performance management, metrics, compliance and others. Much less has been written about a comprehensive and integrated approach for IT/Business Alignment, Planning, Execution and Governance. This title fills that need in the marketplace and offers readers structured and practical solutions using the best of the best practices available today. The book is divided into two parts, which cover the three critical pillars necessary to develop, execute and sustain a robust and effective IT governance environment:- Leadership, people, organization and strategy,- IT governance, its major component processes and enabling technologies.Each of the chapters also covers one or more of the following action oriented topics: - the why and what of IT: strategic planning, portfolio investment management, decision authority, etc.; - the how of IT: Program/Project Management, IT Service Management (including ITIL); Strategic Sourcing and outsourcing; performance, risk and contingency management (including COBIT, the Balanced Scorecard etc.) and leadership, team management and professional competences.
Book Synopsis Virtualized Cloud Data Center Networks: Issues in Resource Management. by : Linjiun Tsai
Download or read book Virtualized Cloud Data Center Networks: Issues in Resource Management. written by Linjiun Tsai and published by Springer. This book was released on 2016-04-19 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the characteristics of virtualized cloud networking, identifies the requirements of cloud network management, and illustrates the challenges in deploying virtual clusters in multi-tenant cloud data centers. The book also introduces network partitioning techniques to provide contention-free allocation, topology-invariant reallocation, and highly efficient resource utilization, based on the Fat-tree network structure. Managing cloud data center resources without considering resource contentions among different cloud services and dynamic resource demands adversely affects the performance of cloud services and reduces the resource utilization of cloud data centers. These challenges are mainly due to strict cluster topology requirements, resource contentions between uncooperative cloud services, and spatial/temporal data center resource fragmentation. Cloud data center network resource allocation/reallocation which cope well with such challenges will allow cloud services to be provisioned with predictable network performance, mitigate service performance degradation and even guarantee service level agreements. Virtualized Cloud Data Center Networks: Issues in Resource Management tackles the challenges of managing cloud data center networks and introduces techniques to efficiently deploy large-scale distributed computing applications that require predictable performance in multi-tenant cloud data centers.
Book Synopsis High Performance Architecture and Grid Computing by : Archana Mantri
Download or read book High Performance Architecture and Grid Computing written by Archana Mantri and published by Springer Science & Business Media. This book was released on 2011-07-05 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereeds proceedings of the International Conference on High Performance Architecture and Grid Computing, HPAGC 2011, held in Chandigarh, India, in July 2011. The 87 revised full papers presented were carefully reviewed and selected from 240 submissions. The papers are organized in topical sections on grid and cloud computing; high performance architecture; information management and network security.
Book Synopsis Web-Scale Data Management for the Cloud by : Wolfgang Lehner
Download or read book Web-Scale Data Management for the Cloud written by Wolfgang Lehner and published by Springer Science & Business Media. This book was released on 2013-04-06 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: The efficient management of a consistent and integrated database is a central task in modern IT and highly relevant for science and industry. Hardly any critical enterprise solution comes without any functionality for managing data in its different forms. Web-Scale Data Management for the Cloud addresses fundamental challenges posed by the need and desire to provide database functionality in the context of the Database as a Service (DBaaS) paradigm for database outsourcing. This book also discusses the motivation of the new paradigm of cloud computing, and its impact to data outsourcing and service-oriented computing in data-intensive applications. Techniques with respect to the support in the current cloud environments, major challenges, and future trends are covered in the last section of this book. A survey addressing the techniques and special requirements for building database services are provided in this book as well.
Book Synopsis Soft Computing and Signal Processing by : Jiacun Wang
Download or read book Soft Computing and Signal Processing written by Jiacun Wang and published by Springer. This book was released on 2019-01-16 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected research papers on current developments in the field of soft computing and signal processing from the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It includes papers on current topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, discussing various aspects of these topics, like technological, product implementation, contemporary research as well as application issues.
Book Synopsis Privacy and Identity Management for Emerging Services and Technologies by : Marit Hansen
Download or read book Privacy and Identity Management for Emerging Services and Technologies written by Marit Hansen and published by Springer. This book was released on 2014-05-02 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a range of keynote papers and submitted papers presented at the 7th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6 International Summer School, held in Nijmegen, The Netherlands, in June 2013. The 13 revised full papers and 6 keynote papers included in this volume were carefully selected from a total of 30 presentations and 11 keynote talks and were subject to a two-step review process. The keynote papers cover the dramatic global changes, including legislative developments that society is facing today. Privacy and identity management are explored in specific settings, such as the corporate context, civic society, and education and using particular technologies such as cloud computing. The regular papers examine the challenges to privacy, security and identity; ways of preserving privacy; identity and identity management and the particular challenges presented by social media.
Book Synopsis Handbook of Research on Information Security in Biomedical Signal Processing by : Pradhan, Chittaranjan
Download or read book Handbook of Research on Information Security in Biomedical Signal Processing written by Pradhan, Chittaranjan and published by IGI Global. This book was released on 2018-04-13 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advancements and innovations in medical image and data processing have led to a need for robust and secure mechanisms to transfer images and signals over the internet and maintain copyright protection. The Handbook of Research on Information Security in Biomedical Signal Processing provides emerging research on security in biomedical data as well as techniques for accurate reading and further processing. While highlighting topics such as image processing, secure access, and watermarking, this publication explores advanced models and algorithms in information security in the modern healthcare system. This publication is a vital resource for academicians, medical professionals, technology developers, researchers, students, and practitioners seeking current research on intelligent techniques in medical data security.
Book Synopsis Topics in Artificial Intelligence Applied to Industry 4.0 by : Mahmoud Ragab AL-Refaey
Download or read book Topics in Artificial Intelligence Applied to Industry 4.0 written by Mahmoud Ragab AL-Refaey and published by John Wiley & Sons. This book was released on 2024-03-28 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Book Synopsis IBM Private, Public, and Hybrid Cloud Storage Solutions by : Larry Coyne
Download or read book IBM Private, Public, and Hybrid Cloud Storage Solutions written by Larry Coyne and published by IBM Redbooks. This book was released on 2018-11-27 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication takes you on a journey that surveys cloud computing to answer several fundamental questions about storage cloud technology. What are storage clouds? How can a storage cloud help solve your current and future data storage business requirements? What can IBM do to help you implement a storage cloud solution that addresses these needs? This paper shows how IBM storage clouds use the extensive cloud computing experience, services, proven technologies, and products of IBM to support a smart storage cloud solution designed for your storage optimization efforts. Clients face many common storage challenges and some have variations that make them unique. It describes various successful client storage cloud implementations and the options that are available to meet your current needs and position you to avoid storage issues in the future. IBM CloudTM Services (IBM Cloud Managed Services® and IBM SoftLayer®) are highlighted as well as the contributions of IBM to OpenStack cloud storage. This paper is intended for anyone who wants to learn about storage clouds and how IBM addresses data storage challenges with smart storage cloud solutions. It is suitable for IBM clients, storage solution integrators, and IBM specialist sales representatives.
Book Synopsis Data Intensive Storage Services for Cloud Environments by : Kyriazis, Dimosthenis
Download or read book Data Intensive Storage Services for Cloud Environments written by Kyriazis, Dimosthenis and published by IGI Global. This book was released on 2013-04-30 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the evolution of digitized data, our society has become dependent on services to extract valuable information and enhance decision making by individuals, businesses, and government in all aspects of life. Therefore, emerging cloud-based infrastructures for storage have been widely thought of as the next generation solution for the reliance on data increases. Data Intensive Storage Services for Cloud Environments provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments. This reference source brings together research on storage technologies in cloud environments and various disciplines useful for both professionals and researchers.