Mastering Grid Computing
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Mastering Grid Computing
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Author : Ankita
language : en
Publisher: CRC Press
Release Date : 2025-05-09
Mastering Grid Computing written by Ankita and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Grid computing, a computing infrastructure that combines computer resources spread over different geographical locations to achieve a common goal, is seen as an efficient solution to solve complex real-world computer problems in a shorter time. Grid computing makes it easier to collaborate with other organizations, makes better use of existing hardware, and reduces transmission congestion, leading to more efficient electricity markets, improved power quality, and a reduced environmental impact. Highlighting the salient features of grid computing, this new book begins with the basic definition of grid and its architecture and also discusses advances to the complex hybridized model of grid computing, grid scheduling, and grid resource management. The chapters address different problems causing grid bottlenecks, the formulation of solution strategies, implementation of grid scheduling, along with case studies of grid computing. It introduces several scheduling algorithms and evaluates the efficiency of these algorithms using comparative analysis while also discussing grid simulators. The book will be a valuable guide for new and experienced researchers and will advance their understanding of the concept of grid computing in a broader perspective. Starting from the basic definition of grid and its architecture to the complex hybridized model of scheduling, this book is a comprehensive resource on grid computing, grid scheduling, and grid resource management.
Mastering Distributed Computing
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Distributed Computing written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Uncover the Art of Seamless Distributed Computing with "Mastering Distributed Computing" In the dynamic realm of modern computing, the ability to harness the power of distributed systems is paramount. "Mastering Distributed Computing" is your definitive guide to mastering the art of seamlessly orchestrating distributed resources for optimal performance and scalability. Whether you're an experienced software engineer or a newcomer to the world of distributed computing, this book equips you with the knowledge and skills needed to navigate the intricacies of distributed systems. About the Book: "Mastering Distributed Computing" takes you on an enlightening journey through the intricacies of distributed computing, from foundational concepts to advanced techniques. From distributed architectures to consensus algorithms, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of distributed systems, including scalability, fault tolerance, and data consistency. · Distributed Architectures: Explore a range of distributed architectures, including client-server, peer-to-peer, microservices, and serverless, understanding their strengths and applications. · Consistency and Replication: Dive into the complexities of data consistency and replication strategies, including eventual consistency, strong consistency, and distributed databases. · Distributed Algorithms: Master fundamental distributed algorithms, such as leader election, distributed locking, and distributed transactions, for coordinating actions across nodes. · Scaling Strategies: Discover strategies for scaling distributed systems horizontally and vertically, ensuring optimal performance as workloads grow. · Fault Tolerance: Understand mechanisms for building fault-tolerant systems, including redundancy, replication, and failure detection and recovery. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from finance and e-commerce to social media and beyond. · Cloud and Edge Computing: Explore the role of distributed computing in cloud environments and edge computing scenarios, and their impact on modern applications. · Security and Privacy: Explore best practices for securing distributed systems, data encryption, access control, and compliance. Who This Book Is For: "Mastering Distributed Computing" is designed for software engineers, architects, developers, and anyone passionate about effective distributed system design. Whether you're seeking to enhance your skills or embark on a journey toward becoming a distributed computing expert, this book provides the insights and tools to navigate the complexities of distributed systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Distributed Algorithms
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Author : Roger Wattenhofer
language : en
Publisher:
Release Date : 2020-03-23
Mastering Distributed Algorithms written by Roger Wattenhofer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with categories.
About the book: The Internet is a distributed system, but so are wireless communication, cloud or parallel computing, multi-core systems, mobile networks. Also an ant colony, a brain, or even the human society can be modeled as distributed systems. In this book we will be highlighting common themes and techniques. In particular, we study some of the fundamental issues underlying the design of distributed systems, for example, communication, coordination, fault-tolerance, locality, parallelism, symmetry breaking, synchronization, and uncertainty.About the author: Roger Wattenhofer is a professor at ETH Zurich. Before joining ETH Zurich, he was at Brown University and Microsoft Research. His research interests include fault-tolerant distributed systems, efficient network algorithms, and cryptocurrencies such as Bitcoin. He has published more than 300 scientific articles. In 2017, he published the book Blockchain Science.
Mastering Grid Computing
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Author : Ankita
language : en
Publisher: Apple Academic Press
Release Date : 2025-05-09
Mastering Grid Computing written by Ankita and has been published by Apple Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Details salient features of grid computing, introduces grid and its architecture and also discusses advances to the complex hybridized model of grid computing, grid scheduling, and grid resource management. It addresses problems causing grid bottlenecks, the formulation of solution strategies, implementation of grid scheduling, and more.
Mastering Cloud Computing
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Author : Rajkumar Buyya
language : en
Publisher: Newnes
Release Date : 2013-04-05
Mastering Cloud Computing written by Rajkumar Buyya and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-05 with Computers categories.
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won't live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout. - Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment - Real-world case studies include scientific, business, and energy-efficiency considerations
Mastering Metasploit
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Author : Nipun Jaswal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-05-26
Mastering Metasploit written by Nipun Jaswal and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-26 with Computers categories.
A comprehensive and detailed, step by step tutorial guide that takes you through important aspects of the Metasploit framework. If you are a penetration tester, security engineer, or someone who is looking to extend their penetration testing skills with Metasploit, then this book is ideal for you. The readers ofthis book must have a basic knowledge of using Metasploit. They are also expected to have knowledge of exploitation and an indepth understanding of object-oriented programming languages.
Fundamentals Of Grid Computing
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Author : Frederic Magoules
language : en
Publisher: CRC Press
Release Date : 2009-12-23
Fundamentals Of Grid Computing written by Frederic Magoules and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-23 with Computers categories.
The integration and convergence of state-of-the-art technologies in the grid have enabled more flexible, automatic, and complex grid services to fulfill industrial and commercial needs, from the LHC at CERN to meteorological forecasting systems. Fundamentals of Grid Computing: Theory, Algorithms and Technologies discusses how the novel technologies
Handbook Of Large Scale Distributed Computing In Smart Healthcare
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Author : Samee U. Khan
language : en
Publisher: Springer
Release Date : 2017-08-07
Handbook Of Large Scale Distributed Computing In Smart Healthcare written by Samee U. Khan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Computers categories.
This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.
Mastering Predictive Analytics With Python
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Author : Joseph Babcock
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-08-31
Mastering Predictive Analytics With Python written by Joseph Babcock and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-31 with Computers categories.
Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book Master open source Python tools to build sophisticated predictive models Learn to identify the right machine learning algorithm for your problem with this forward-thinking guide Grasp the major methods of predictive modeling and move beyond the basics to a deeper level of understanding Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. You're expected to have basic development experience with Python. What You Will Learn Gain an insight into components and design decisions for an analytical application Master the use Python notebooks for exploratory data analysis and rapid prototyping Get to grips with applying regression, classification, clustering, and deep learning algorithms Discover the advanced methods to analyze structured and unstructured data Find out how to deploy a machine learning model in a production environment Visualize the performance of models and the insights they produce Scale your solutions as your data grows using Python Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis In Detail The volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations. In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life Style and approach This book emphasizes on explaining methods through example data and code, showing you templates that you can quickly adapt to your own use cases. It focuses on both a practical application of sophisticated algorithms and the intuitive understanding necessary to apply the correct method to the problem at hand. Through visual examples, it also demonstrates how to convey insights through insightful charts and reporting.
Mastering Google Bigtable Database
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Google Bigtable Database written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Harness the Power of Massive-Scale Data with "Mastering Google Bigtable Database" In the realm of modern data management, handling colossal datasets with precision and efficiency is paramount. "Mastering Google Bigtable Database" serves as your definitive guide to mastering one of the most powerful and scalable NoSQL databases – Google Bigtable. Whether you're an experienced data professional or a newcomer to the world of distributed databases, this book equips you with the knowledge and skills needed to harness the true capabilities of Google Bigtable. About the Book: "Mastering Google Bigtable Database" takes you on an enlightening journey through the intricacies of this dynamic distributed database. From foundational concepts to advanced techniques, you'll explore the depths of Google Bigtable's architecture, data model, and rich features. Each chapter is meticulously designed to provide both a deep understanding of the concepts and hands-on experience through practical applications. Key Features: · Foundations of Bigtable: Build a strong understanding of Google Bigtable's architecture, data model, and the underlying principles that make it a cornerstone of distributed data storage. · Data Modeling: Learn how to design efficient schema structures that optimize storage, retrieval, and performance in Google Bigtable. · Rich Data Manipulation: Master the art of manipulating data in Google Bigtable using its API, and explore advanced querying techniques for flexible data access. · Scalability and Performance: Dive into the realm of horizontal scaling and learn strategies to ensure smooth performance as your data grows exponentially. · Integration with Ecosystem: Explore how Google Bigtable seamlessly integrates with other Google Cloud services and popular tools, enabling you to build robust data pipelines and applications. · Advanced Topics: Uncover advanced concepts like data versioning, backup and recovery, security mechanisms, and best practices for high availability. · Real-World Use Cases: Gain insights from real-world examples across industries, from IoT and e-commerce to analytics and more, showcasing the versatility of Google Bigtable. · Administering Bigtable: Learn the essentials of managing Google Bigtable clusters, optimizing performance, and ensuring data security and compliance. Who This Book Is For: "Mastering Google Bigtable Database" caters to data engineers, database administrators, developers, and anyone eager to harness the potential of distributed databases. Whether you're seeking to enhance your skills or dive into the world of NoSQL databases, this book provides the insights and tools to navigate the complexities of Google Bigtable. Why You Should Read This Book: In an era of data explosion, Google Bigtable emerges as a powerful solution for managing vast amounts of data across distributed environments. "Mastering Google Bigtable Database" empowers you to fully unleash its capabilities, enabling you to build high-performance applications, handle massive workloads, and extract valuable insights from your data. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com