Optimizing Scale PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Optimizing Scale PDF full book. Access full book title Optimizing Scale by Saravana Gupta Ravindran. Download full books in PDF and EPUB format.
Author: Saravana Gupta Ravindran
Publisher: Fractal Infinite LLC
ISBN:
Category : Computers
Languages : en
Pages : 322
Get Book Here
Book Description
In today’s era of rapid technological advancement, ensuring system performance, scalability, and optimization is crucial for both businesses and developers. As applications become increasingly complex, the importance of identifying and addressing bottlenecks, optimizing database queries, enhancing response times, and ensuring system reliability has never been more significant. This comprehensive guide is specifically crafted to empower software engineers, system architects, and database administrators with the necessary tools and knowledge to effectively tackle performance challenges in modern software systems. From profiling tools and advanced caching strategies to microservices architecture and query optimization, this guide covers a wide array of topics essential for constructing and upholding high-performance systems. Whether you are grappling with sluggish database queries, high latency in microservices, or scalability issues, this resource offers practical insights, hands-on techniques, and real-world examples to assist you in diagnosing, analyzing, and rectifying performance issues at every level of the system. At the core of performance tuning lies the ability to pinpoint the root causes of inefficiency. This guide delves into potent tools such as FlameGraphs, PGAnalyze, and AWS Performance Insights to aid in identifying bottlenecks within your system. It explores detailed strategies for optimizing reads and writes, denormalization, indexing, and query execution plans to ensure optimal database performance. Beyond databases, topics like distributed caching, connection pooling, and API gateways are covered, providing a comprehensive view of performance optimization in cloud-native and microservices architectures. Moreover, you will discover best practices for designing and scaling microservices, maintaining consistency in distributed systems, and employing advanced observability techniques to monitor and troubleshoot live systems. This guide addresses both theoretical concepts and practical tools necessary for modern developers to guarantee the robustness, resilience, and scalability of their systems. By the conclusion of this guide, you will not only possess a profound understanding of how to approach and resolve performance issues but also gain valuable insights into designing systems that can scale efficiently with minimal latency and maximum throughput. Whether you are optimizing databases, constructing microservices, or enhancing API performance, this guide will serve as your indispensable companion in mastering performance engineering in today’s fast-paced software landscape.
Author: Saravana Gupta Ravindran
Publisher: Fractal Infinite LLC
ISBN:
Category : Computers
Languages : en
Pages : 322
Get Book Here
Book Description
In today’s era of rapid technological advancement, ensuring system performance, scalability, and optimization is crucial for both businesses and developers. As applications become increasingly complex, the importance of identifying and addressing bottlenecks, optimizing database queries, enhancing response times, and ensuring system reliability has never been more significant. This comprehensive guide is specifically crafted to empower software engineers, system architects, and database administrators with the necessary tools and knowledge to effectively tackle performance challenges in modern software systems. From profiling tools and advanced caching strategies to microservices architecture and query optimization, this guide covers a wide array of topics essential for constructing and upholding high-performance systems. Whether you are grappling with sluggish database queries, high latency in microservices, or scalability issues, this resource offers practical insights, hands-on techniques, and real-world examples to assist you in diagnosing, analyzing, and rectifying performance issues at every level of the system. At the core of performance tuning lies the ability to pinpoint the root causes of inefficiency. This guide delves into potent tools such as FlameGraphs, PGAnalyze, and AWS Performance Insights to aid in identifying bottlenecks within your system. It explores detailed strategies for optimizing reads and writes, denormalization, indexing, and query execution plans to ensure optimal database performance. Beyond databases, topics like distributed caching, connection pooling, and API gateways are covered, providing a comprehensive view of performance optimization in cloud-native and microservices architectures. Moreover, you will discover best practices for designing and scaling microservices, maintaining consistency in distributed systems, and employing advanced observability techniques to monitor and troubleshoot live systems. This guide addresses both theoretical concepts and practical tools necessary for modern developers to guarantee the robustness, resilience, and scalability of their systems. By the conclusion of this guide, you will not only possess a profound understanding of how to approach and resolve performance issues but also gain valuable insights into designing systems that can scale efficiently with minimal latency and maximum throughput. Whether you are optimizing databases, constructing microservices, or enhancing API performance, this guide will serve as your indispensable companion in mastering performance engineering in today’s fast-paced software landscape.
Author: Jesús M. Velásquez-Bermúdez
Publisher: Springer
ISBN: 9783030227906
Category : Mathematics
Languages : en
Pages : 0
Get Book Here
Book Description
In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders’ decomposition, logic-based Benders’ decomposition, Lagrangian relaxation, Dantzig –Wolfe decomposition, multi-tree decomposition, Van Roy’ cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.
Author: Tie Qiu
Publisher: Springer Nature
ISBN: 9811696098
Category : Computers
Languages : en
Pages : 224
Get Book Here
Book Description
The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the network’s performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking. The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking. This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry.
Author: Tal Hassner
Publisher: Springer
ISBN: 3319230484
Category : Technology & Engineering
Languages : en
Pages : 302
Get Book Here
Book Description
This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems.
Author: Yingxia Shao
Publisher: Springer
ISBN: 9789811539275
Category : Computers
Languages : en
Pages : 146
Get Book Here
Book Description
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for designing efficient large-scale graph algorithms.
Author: Stephen Satchell
Publisher: Academic Press
ISBN: 0080959202
Category : Business & Economics
Languages : en
Pages : 323
Get Book Here
Book Description
The practical aspects of optimization rarely receive global, balanced examinations. Stephen Satchell's nuanced assembly of technical presentations about optimization packages (by their developers) and about current optimization practice and theory (by academic researchers) makes available highly practical solutions to our post-liquidity bubble environment. The commercial chapters emphasize algorithmic elements without becoming sales pitches, and the academic chapters create context and explore development opportunities. Together they offer an incisive perspective that stretches toward new products, new techniques, and new answers in quantitative finance. - Presents a unique "confrontation" between software engineers and academics - Highlights a global view of common optimization issues - Emphasizes the research and market challenges of optimization software while avoiding sales pitches - Accentuates real applications, not laboratory results
Author: Ali Kaveh
Publisher: Springer
ISBN: 3319787802
Category : Technology & Engineering
Languages : en
Pages : 172
Get Book Here
Book Description
The contributions in this book discuss large-scale problems like the optimal design of domes, antennas, transmission line towers, barrel vaults and steel frames with different types of limitations such as strength, buckling, displacement and natural frequencies. The authors use a set of definite algorithms for the optimization of all types of structures. They also add a new enhanced version of VPS and information about configuration processes to all chapters. Domes are of special interest to engineers as they enclose a maximum amount of space with a minimum surface and have proven to be very economical in terms of consumption of constructional materials. Antennas and transmission line towers are the one of the most popular structure since these steel lattice towers are inexpensive, strong, light and wind resistant. Architects and engineers choose barrel vaults as viable and often highly suitable forms for covering not only low-cost industrial buildings, warehouses, large-span hangars, indoor sports stadiums, but also large cultural and leisure centers. Steel buildings are preferred in residential as well as commercial buildings due to their high strength and ductility particularly in regions which are prone to earthquakes.
Author: Lee Odden
Publisher: John Wiley & Sons
ISBN: 1118167775
Category : Business & Economics
Languages : en
Pages : 259
Get Book Here
Book Description
Attract, engage, and inspire your customers with an "Optimize and Socialize" content marketing strategy Optimize is designed to give readers a practical approach to integrating search and social media optimization with content marketing to boost relevance, visibility, and customer engagement. Companies, large and small, will benefit from the practical planning and creative content marketing tactics in this book that have been proven to increase online performance across marketing, public relations, and customer service. Learn to incorporate essential content optimization and social media engagement principles thereby increasing their ability to acquire and engage relevant customers online. Optimize provides insights from Lee Odden, one of the leading authorities on Content and Online Marketing. This book explains how to: Create a blueprint for integrated search, social media and content marketing strategy Determine which creative tactics will provide the best results for your company Implement search and social optimization holistically in the organization Measure the business value of optimized and socialized content marketing Develop guidelines, processes and training to scale online marketing success Optimize offers a tested approach for a customer-centric and adaptive online marketing strategy that incorporates the best of content, social media marketing, and search engine optimization tactics.
Author: H.C. Rodrigues
Publisher: Springer
ISBN: 3319977733
Category : Technology & Engineering
Languages : en
Pages : 1486
Get Book Here
Book Description
The papers in this volume focus on the following topics: design optimization and inverse problems, numerical optimization techniques,efficient analysis and reanalysis techniques, sensitivity analysis and industrial applications. The conference EngOpt brings together engineers, applied mathematicians and computer scientists working on research, development and practical application of optimization methods in all engineering disciplines and applied sciences.
Author: A. Kaveh
Publisher: Springer
ISBN: 3319461737
Category : Technology & Engineering
Languages : en
Pages : 637
Get Book Here
Book Description
This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks. In the second edition seven new chapters are added consisting of the new developments in the field of optimization. These chapters consist of the Enhanced Colliding Bodies Optimization, Global Sensitivity Analysis, Tug of War Optimization, Water Evaporation Optimization, Vibrating Particle System Optimization and Cyclical Parthenogenesis Optimization algorithms. A chapter is also devoted to optimal design of large scale structures.
