Resource Management For Big Data Platforms
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Resource Management For Big Data Platforms
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Author : Florin Pop
language : en
Publisher: Springer
Release Date : 2016-10-27
Resource Management For Big Data Platforms written by Florin Pop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-27 with Computers categories.
Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.
Designing Big Data Platforms
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Author : Yusuf Aytas
language : en
Publisher: John Wiley & Sons
Release Date : 2021-07-08
Designing Big Data Platforms written by Yusuf Aytas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-08 with Mathematics categories.
DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.
Big Data Platforms And Applications
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Author : Florin Pop
language : en
Publisher: Springer Nature
Release Date : 2021-09-28
Big Data Platforms And Applications written by Florin Pop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-28 with Computers categories.
This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge. The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are needed for real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.
Big Data
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2015-09-15
Big Data written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-15 with Computers categories.
As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.
New Paradigms In Big Data Technology And Business Analytics
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Author : Srikanta Patnaik
language : en
Publisher: Springer Nature
Release Date : 2025-07-11
New Paradigms In Big Data Technology And Business Analytics written by Srikanta Patnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.
“New Paradigms in Big Data Technology and Business Analytics” emphasize the integration of Big Data Technology and Business Analytics enables organizations to transform vast volumes of data into strategic insights, driving smarter decisions, operational efficiency, and innovative growth. This volume presents a comprehensive exploration of the evolving landscape of Big Data Technology and Business Analytics, showcasing transformative approaches that are reshaping industries and research alike. It highlights the integration of advanced tools such as artificial intelligence, machine learning, data mining, and cloud infrastructure to drive intelligent decision-making and operational efficiency. Focusing on both theoretical frameworks and real-world case studies, this book explores into five essential domains: Big Data Infrastructure and Technologies, Data Mining and Machine Learning, Big Data Applications and Case Studies, Business Intelligence and Decision Support, and Data Governance and Ethics. By merging theoretical knowledge with practical applications, this book equips educators, researchers, practitioners, and students with actionable insights into how data-driven strategies can unlock sustainable growth and innovation across sectors. With a forward-thinking vision, it addresses key issues like data privacy, algorithmic fairness, and strategic deployment of analytics in diverse environments. By blending emerging technologies with practical applications, this book serves as a roadmap for anyone aiming to harness the full potential of big data to reshape modern business and society.
Resource Management In Distributed Systems
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Author : Anwesha Mukherjee
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Resource Management In Distributed Systems written by Anwesha Mukherjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.
Big Data
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Author : Rajkumar Buyya
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-06-07
Big Data written by Rajkumar Buyya and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-07 with Computers categories.
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. - Covers computational platforms supporting Big Data applications - Addresses key principles underlying Big Data computing - Examines key developments supporting next generation Big Data platforms - Explores the challenges in Big Data computing and ways to overcome them - Contains expert contributors from both academia and industry
Computational Social Science
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Author : Wei Luo
language : en
Publisher: CRC Press
Release Date : 2021-02-18
Computational Social Science written by Wei Luo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-18 with Computers categories.
Selected papers from the International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.
Strategic Human Resource Management
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Author : Guiyao Tang
language : en
Publisher: World Scientific
Release Date : 2025-02-10
Strategic Human Resource Management written by Guiyao Tang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Business & Economics categories.
Strategic human resource management (SHRM) is a crucial foundation for the survival and development of a firm, linking human resource management (HRM) with a firm's strategic objectives to achieve a sustainable competitive advantage. Research and practice have proven that implementing SHRM is conducive to acquiring core competencies that enhance the firm's competitiveness. In response to the changes that are taking place in HRM practices, it is essential that students and managers to learn SHRM systematically.The book introduces the core concepts and theoretical foundations of SHRM, while also focusing on its strategic implementation. It covers key topics such as strategic human resource planning, staffing, and training and development; strategic performance management; and strategic compensation management. The book not only outlines the basic concepts of SHRM from a strategic standpoint, but also considers the latest developments in business practice and results from the frontier of academic research. Thus, this is essential reading for anyone interested in SHRM: from undergraduates and graduate students to master of business administration (MBA) students and firm managers.
Hydraulic And Civil Engineering Technology Vi
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Author : M. Yang
language : en
Publisher: IOS Press
Release Date : 2021-11-09
Hydraulic And Civil Engineering Technology Vi written by M. Yang and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Technology & Engineering categories.
New technologies, such as improved testing and physical modeling methods, together with numerical studies and other novel techniques, have led to many developments in the fields of hydraulic and civil engineering in recent years. This book presents proceedings from HCET 2021, the 6th International Technical Conference on Frontiers of Hydraulic and Civil Engineering Technology, held in Sanya, China, on 28 and 29 August 2021. The conference highlighted the latest advances, innovations and applications in the fields of hydraulic and civil engineering, and served as a platform to promote and celebrate interdisciplinary study. The book contains 89 papers, selected from 178 contributions and divided into 4 sections: Modern Civil Engineering; Water and Hydraulic Engineering; Environment Engineering and Sciences; and Transdisciplinary Engineering and Technology. Topics covered involve both theoretical and practical knowledge and understanding, primarily in the areas of hydraulics and water resource engineering, civil engineering, environmental engineering and sciences, transportation engineering, coastal and ocean engineering and transdisciplinary engineering and technology. The book, which presents a wealth of exciting ideas that will open novel research directions and foster multidisciplinary collaboration among specialists in various fields, will be of interest to all academics, researchers, practitioners and policymakers seeking to understand and tackle civil and hydraulic engineering challenges by adopting appropriate, sustainable, solutions.