High Performance In Memory Computing With Apache Ignite

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High Performance in-memory computing with Apache Ignite

Shamim bhuiyan,Michael Zheludkov,Timur Isachenko
High Performance in memory computing with Apache Ignite Book PDF

Author : Shamim bhuiyan,Michael Zheludkov,Timur Isachenko
Publisher : Lulu.com
Page : 360 pages
File Size : 50,7 Mb
Release : 2017-04-08
Category : Computers
ISBN : 9781365732355

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High Performance in-memory computing with Apache Ignite by Shamim bhuiyan,Michael Zheludkov,Timur Isachenko Pdf

This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use cases: 1) You have a high volume of ACID transactions in your system. 2) You have database bottleneck in your application and want to solve the problem. 3) You want to develop and deploy Microservices in a distributed fashion. 4) You have an existing Hadoop ecosystem (OLAP) and want to improve the performance of map/reduce jobs without making any changes in your existing map/reduce jobs. 5) You want to share Spark RDD directly in-memory (without storing the state into the disk) 7) You are planning to process continuous never-ending streams and complex events of data. 8) You want to use distributed computations in parallel fashion to gain high performance.

The Apache Ignite Book

Michael Zheludkov,Shamim Bhuiyan
The Apache Ignite Book Book PDF

Author : Michael Zheludkov,Shamim Bhuiyan
Publisher : Lulu.com
Page : 642 pages
File Size : 48,5 Mb
Release : 2019-02-25
Category : Computers
ISBN : 9780359439379

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The Apache Ignite Book by Michael Zheludkov,Shamim Bhuiyan Pdf

Apache Ignite is one of the most widely used open source memory-centric distributed, caching, and processing platform. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support. On the other hand, Apache Ignite can be used for accelerating existing Relational and NoSQL databases, processing events & streaming data or developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database. This book intends to provide someone with little to no experience of Apache Ignite with an opportunity to learn how to use this platform effectively from scratch taking a practical hands-on approach to learning. Please see the table of contents for more details.

Apache Ignite Quick Start Guide

Sujoy Acharya
Apache Ignite Quick Start Guide Book PDF

Author : Sujoy Acharya
Publisher : Packt Publishing Ltd
Page : 253 pages
File Size : 52,7 Mb
Release : 2018-11-30
Category : Computers
ISBN : 9781789344066

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Apache Ignite Quick Start Guide by Sujoy Acharya Pdf

Build efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite Key FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook Description Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity. The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data. You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite. By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture. What you will learnUse Apache Ignite’s data grid and implement web session clusteringGain high performance and linear scalability with in-memory distributed data processingCreate a microservice on top of Apache Ignite that can scale and performPerform ACID-compliant CRUD operations on an Ignite cacheRetrieve data from Apache Ignite’s data grid using SQL, Scan and Lucene Text queryExplore complex event processing concepts and event streamingIntegrate your Ignite app with the Spring frameworkWho this book is for The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary.

High Performance Computing with the MOEA Framework and Ignite

David Hadka
High Performance Computing with the MOEA Framework and Ignite Book PDF

Author : David Hadka
Publisher : Createspace Independent Publishing Platform
Page : 44 pages
File Size : 52,5 Mb
Release : 2016-01-19
Category : Electronic
ISBN : 1523475463

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High Performance Computing with the MOEA Framework and Ignite by David Hadka Pdf

This book demonstrates how to exploit high performance computing with the MOEA Framework, from small personal computers up to large-scale supercomputers. For distributed memory computing on larger systems, we demonstrate how to use Apache Ignite to construct master-slave, island model, and hybrid parallelization architectures. The purchase of this book includes complete code samples available for download. Download link provided in text.

Emerging Computing Techniques in Engineering

Matthew N. O. Sadiku
Emerging Computing Techniques in Engineering Book PDF

Author : Matthew N. O. Sadiku
Publisher : AuthorHouse
Page : 409 pages
File Size : 51,7 Mb
Release : 2022-11-17
Category : Education
ISBN : 9781665569163

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Emerging Computing Techniques in Engineering by Matthew N. O. Sadiku Pdf

The book is divided into three volumes to cover all computing topics. This is the first volume and it has 23 chapters. It focuses on general computing techniques such as cloud computing, grid computing, pervasive computing, optical computing, web computing, parallel computing, distributed computing, high-performance computing, GPU computing, exascale & extreme computing, in-memory computing, embedded computing, quantum computing, and green computing

High-Performance Big Data Computing

Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar
High Performance Big Data Computing Book PDF

Author : Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar
Publisher : MIT Press
Page : 275 pages
File Size : 50,6 Mb
Release : 2022-08-02
Category : Computers
ISBN : 9780262369428

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High-Performance Big Data Computing by Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar Pdf

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.

Mathematics and its Applications in New Computer Systems

Andrei Tchernykh,Anatoly Alikhanov,Mikhail Babenko,Irina Samoylenko
Mathematics and its Applications in New Computer Systems Book PDF

Author : Andrei Tchernykh,Anatoly Alikhanov,Mikhail Babenko,Irina Samoylenko
Publisher : Springer Nature
Page : 571 pages
File Size : 55,7 Mb
Release : 2022-04-25
Category : Computers
ISBN : 9783030970208

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Mathematics and its Applications in New Computer Systems by Andrei Tchernykh,Anatoly Alikhanov,Mikhail Babenko,Irina Samoylenko Pdf

This book is based on the best papers accepted for presentation during the International Conference on Mathematics and its Applications in New Computer Systems (MANCS-2021), Russia. The book includes research materials on modern mathematical problems, solutions in the field of cryptography, data analysis and modular computing, as well as scientific computing. The scope of numerical methods in scientific computing presents original research, including mathematical models and software implementations, related to the following topics: numerical methods in scientific computing; solving optimization problems; methods for approximating functions, etc. The studies in mathematical solutions to cryptography issues are devoted to secret sharing schemes, public key systems, private key systems, n-degree comparisons, modular arithmetic of simple, addition of points of an elliptic curve, Hasse theorem, homomorphic encryption and learning with error, and modifications of the RSA system. Furthermore, issues in data analysis and modular computing include contributions in the field of mathematical statistics, machine learning methods, deep learning, and neural networks. Finally, the book gives insights into the fundamental problems in mathematics education. The book intends for readership specializing in the field of cryptography, information security, parallel computing, computer technology, and mathematical education.

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Jeffrey Nichols,Becky Verastegui,Arthur ‘Barney’ Maccabe,Oscar Hernandez,Suzanne Parete-Koon,Theresa Ahearn
Driving Scientific and Engineering Discoveries Through the Convergence of HPC Big Data and AI Book PDF

Author : Jeffrey Nichols,Becky Verastegui,Arthur ‘Barney’ Maccabe,Oscar Hernandez,Suzanne Parete-Koon,Theresa Ahearn
Publisher : Springer Nature
Page : 555 pages
File Size : 47,7 Mb
Release : 2020-12-22
Category : Computers
ISBN : 9783030633936

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Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI by Jeffrey Nichols,Becky Verastegui,Arthur ‘Barney’ Maccabe,Oscar Hernandez,Suzanne Parete-Koon,Theresa Ahearn Pdf

This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

JVM Performance Engineering

Monica Beckwith
JVM Performance Engineering Book PDF

Author : Monica Beckwith
Publisher : Addison-Wesley Professional
Page : 781 pages
File Size : 47,7 Mb
Release : 2024-05-03
Category : Computers
ISBN : 9780134659978

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JVM Performance Engineering by Monica Beckwith Pdf

Peek Under the Hood of the Complex but Fascinating Java Virtual Machine Dive into the intricacies of JVM performance with JVM Performance Engineering, the essential guide for seasoned Java developers eager to demystify the JVM. Focusing on the OpenJDK HotSpot VM, this book provides insights into cutting-edge Java performance techniques and trends. Distinguished Java Champion Monica Beckwith blends theoretical insights and practical tools--encompassing case studies, applications, use-case diagrams, and process flow charts--to demonstrate diagnostic techniques, performance methodologies, and optimizations. This manual is a portal to excelling in Java performance engineering, offering Java developers, system architects, and software engineers the tools to foster career advancement and success with Java applications. Examine the evolving Java type system, from lambda expressions to the advent of records and sealed classes, and explore how Project Valhalla aims to further optimize performance Leverage the Unified JVM Logging Interface for enhanced diagnostics, monitoring, and performance testing, featuring the novel asynchronous logging mechanism Grasp the intricate relationship between JVM and hardware, mastering end-to-end Java performance optimization techniques Gain deep insights into JVM's garbage collection and memory management, examining the pivotal Garbage First and Z GCs--and how they are shaping the Java performance landscape Explore efficient deployment strategies and techniques to accelerate JVM readiness, leveraging class data sharing, ahead-of-time compilation, and innovations like GraalVM and upcoming Project Leyden Embark on an exploration of the synergy between the JVM and exotic hardware like GPUs and FPGAs and revel in the potential of Project Panama and TornadoVM in high-computational scenarios such as machine learning and data analytics Look ahead to the future of Java concurrency with Virtual Threads, and investigate runtime optimizations of string handling and concurrency, propelling Java forward Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside for details.

Towards Industry 5.0

Numan M. Durakbasa,M. Güneş Gençyılmaz
Towards Industry 5 0 Book PDF

Author : Numan M. Durakbasa,M. Güneş Gençyılmaz
Publisher : Springer Nature
Page : 903 pages
File Size : 50,6 Mb
Release : 2023-03-01
Category : Technology & Engineering
ISBN : 9783031244575

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Towards Industry 5.0 by Numan M. Durakbasa,M. Güneş Gençyılmaz Pdf

This book contains selected papers from International Symposium for Production Research 2022, held on October 6–9, 2022, Turkey. The book reports recent advances in production engineering and operations. It explores topics including: production research; production management; operations management; industry 4.0; industrial engineering; mechanical engineering; engineering management; and operational research. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.

High Performance Memory Systems

Haldun Hadimioglu,David Kaeli,Jeffrey Kuskin,Ashwini Nanda,Josep Torrellas
High Performance Memory Systems Book PDF

Author : Haldun Hadimioglu,David Kaeli,Jeffrey Kuskin,Ashwini Nanda,Josep Torrellas
Publisher : Springer Science & Business Media
Page : 314 pages
File Size : 40,5 Mb
Release : 2003-10-31
Category : Computers
ISBN : 038700310X

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High Performance Memory Systems by Haldun Hadimioglu,David Kaeli,Jeffrey Kuskin,Ashwini Nanda,Josep Torrellas Pdf

The State of Memory Technology Over the past decade there has been rapid growth in the speed of micropro cessors. CPU speeds are approximately doubling every eighteen months, while main memory speed doubles about every ten years. The International Tech nology Roadmap for Semiconductors (ITRS) study suggests that memory will remain on its current growth path. The ITRS short-and long-term targets indicate continued scaling improvements at about the current rate by 2016. This translates to bit densities increasing at two times every two years until the introduction of 8 gigabit dynamic random access memory (DRAM) chips, after which densities will increase four times every five years. A similar growth pattern is forecast for other high-density chip areas and high-performance logic (e.g., microprocessors and application specific inte grated circuits (ASICs)). In the future, molecular devices, 64 gigabit DRAMs and 28 GHz clock signals are targeted. Although densities continue to grow, we still do not see significant advances that will improve memory speed. These trends have created a problem that has been labeled the Memory Wall or Memory Gap.

Big Data Analytics in Cybersecurity

Onur Savas,Julia Deng
Big Data Analytics in Cybersecurity Book PDF

Author : Onur Savas,Julia Deng
Publisher : CRC Press
Page : 336 pages
File Size : 55,9 Mb
Release : 2017-09-18
Category : Business & Economics
ISBN : 9781498772167

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Big Data Analytics in Cybersecurity by Onur Savas,Julia Deng Pdf

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

High Performance Computing Systems and Applications

Robert D. Kent,Todd W. Sands
High Performance Computing Systems and Applications Book PDF

Author : Robert D. Kent,Todd W. Sands
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 53,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461502883

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High Performance Computing Systems and Applications by Robert D. Kent,Todd W. Sands Pdf

High Performance Computing Systems and Applications contains fully refereed papers from the 15th Annual Symposium on High Performance Computing. These papers cover both fundamental and applied topics in HPC: parallel algorithms, distributed systems and architectures, distributed memory and performance, high level applications, tools and solvers, numerical methods and simulation, advanced computing systems, and the emerging area of computational grids. High Performance Computing Systems and Applications is suitable as a secondary text for graduate level courses, and as a reference for researchers and practitioners in industry.

Hadoop Blueprints

Anurag Shrivastava,Tanmay Deshpande
Hadoop Blueprints Book PDF

Author : Anurag Shrivastava,Tanmay Deshpande
Publisher : Packt Publishing Ltd
Page : 316 pages
File Size : 45,7 Mb
Release : 2016-09-30
Category : Computers
ISBN : 9781783980314

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Hadoop Blueprints by Anurag Shrivastava,Tanmay Deshpande Pdf

Use Hadoop to solve business problems by learning from a rich set of real-life case studies About This Book Solve real-world business problems using Hadoop and other Big Data technologies Build efficient data lakes in Hadoop, and develop systems for various business cases like improving marketing campaigns, fraud detection, and more Power packed with six case studies to get you going with Hadoop for Business Intelligence Who This Book Is For If you are interested in building efficient business solutions using Hadoop, this is the book for you This book assumes that you have basic knowledge of Hadoop, Java, and any scripting language. What You Will Learn Learn about the evolution of Hadoop as the big data platform Understand the basics of Hadoop architecture Build a 360 degree view of your customer using Sqoop and Hive Build and run classification models on Hadoop using BigML Use Spark and Hadoop to build a fraud detection system Develop a churn detection system using Java and MapReduce Build an IoT-based data collection and visualization system Get to grips with building a Hadoop-based Data Lake for large enterprises Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem In Detail If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space. Style and approach This is an example-driven book where each chapter covers a single business problem and describes its solution by explaining the structure of a dataset and tools required to process it. Every project is demonstrated with a step-by-step approach, and explained in a very easy-to-understand manner.

Data Warehousing

Rob Botwright
Data Warehousing Book PDF

Author : Rob Botwright
Publisher : Rob Botwright
Page : 266 pages
File Size : 51,6 Mb
Release : 101-01-01
Category : Computers
ISBN : 9781839386855

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Data Warehousing by Rob Botwright Pdf

Introducing the "Data Warehousing: Optimizing Data Storage and Retrieval for Business Success" bundle! Unlock the full potential of your data with this comprehensive collection of four essential books: 1. Data Warehousing Fundamentals: A Beginner's Guide · Dive into the foundational principles of data warehousing and learn how to build a solid framework for storing and managing your organization's data. · Understand the importance of data modeling and gain insights into the extraction, transformation, and loading (ETL) processes essential for efficient data management. 2. Mastering Data Modeling for Data Warehousing · Take your data modeling skills to the next level with advanced techniques for conceptual, logical, and dimensional modeling. · Learn how to design scalable and efficient data warehouses that meet the evolving needs of your organization. 3. Advanced ETL Techniques for Data Warehousing Optimization · Optimize your ETL processes and streamline data extraction, transformation, and loading for maximum efficiency. · Explore advanced techniques such as incremental loading and change data capture (CDC) to ensure the smooth operation of your data warehouse. 4. Big Data Analytics: Harnessing the Power of Data Warehousing for Experts · Unlock the transformative potential of big data analytics and gain actionable insights to drive informed decision-making. · Discover how to leverage your data warehouse for real-time data processing, predictive modeling, and more. With this bundle, you'll gain the knowledge and skills needed to optimize your data storage and retrieval processes, empowering you to harness the power of data for business success. Whether you're a beginner looking to build a solid foundation or an expert seeking advanced strategies, this bundle has something for everyone. Don't miss out on this opportunity to revolutionize your approach to data warehousing and take your business to new heights!