9798197493965 - memory management for embedded and iot kernels: master resource-constrained systems using slab, slub, memory pooling, and predictable performance techniques di holbrook, m.t (6 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 36,03
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 32,26
EUR 5,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 42,50
EUR 63,04 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - Memory is the most precious resource in embedded and IoT systems. A poorly managed allocator can mean the difference between a product that ships on time and one that fails in the field-draining batteries, missing real-time deadlines, or crashing under load.This practical guide cuts throug…h the complexity of kernel memory management and gives you the tools to build systems that are both efficient and predictable. Whether you're working with wearables that have mere megabytes to spare or edge gateways managing thousands of concurrent connections, you'll learn exactly how to make every byte count.What You'll Master: - Understand the fundamentals of memory architecture in resource-constrained kernels, from page-based systems to custom allocation strategies- Choose between SLAB and SLUB allocators with confidence, armed with benchmarks, trade-offs, and decision frameworks tailored to your hardware- Design and implement memory pools that eliminate allocation latency and reduce fragmentation in performance-critical code paths- Achieve deterministic behavior through careful memory management, ensuring your systems meet real-time deadlines even under pressure- Debug and profile effectively using practical techniques to find leaks, track fragmentation, and optimize allocator behavior- Learn from real products through case studies spanning wearables, industrial sensors, and edge computing platformsEach chapter blends theory with actionable techniques. You'll find configuration examples, tuning parameters, debugging strategies, and code patterns you can adapt immediately. The appendices provide quick-reference guides and starter templates for your own implementations.Why This Book Matters: Memory management in embedded systems isn't glamorous, but it's foundational. Get it right, and your devices run smoothly for years. Get it wrong, and you're chasing mysterious crashes and performance issues in production. This book ensures you get it right.Perfect for embedded systems engineers, kernel developers, and technical leads who refuse to leave performance and reliability to chance.Key Features: - Practical, constraint-aware guidance for real IoT and embedded platforms- Side-by-side comparisons of SLAB, SLUB, and custom pooling approaches- Real-world case studies and failure patterns from shipped products- Debugging and profiling techniques you can apply today- Configuration and tuning strategies for specific workloadsWho Should Read This Book: - Embedded systems engineers optimizing memory-constrained devices- Kernel developers working with Linux or custom RTOS environments- Performance engineers solving real-time latency and resource issues- Technical leads architecting IoT platforms- Systems programmers maintaining or extending kernel allocators.
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 29,35
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Print on Demand.
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 33,15
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Memory is the most precious resource in embedded and IoT systems. A poorly managed allocator can mean the difference between a product that ships on time and one that fails in the field-draining batteries, missing real-time deadlines, or crashing under load.This practical guide cuts through… the complexity of kernel memory management and gives you the tools to build systems that are both efficient and predictable. Whether you're working with wearables that have mere megabytes to spare or edge gateways managing thousands of concurrent connections, you'll learn exactly how to make every byte count.What You'll Master: Understand the fundamentals of memory architecture in resource-constrained kernels, from page-based systems to custom allocation strategiesChoose between SLAB and SLUB allocators with confidence, armed with benchmarks, trade-offs, and decision frameworks tailored to your hardwareDesign and implement memory pools that eliminate allocation latency and reduce fragmentation in performance-critical code pathsAchieve deterministic behavior through careful memory management, ensuring your systems meet real-time deadlines even under pressureDebug and profile effectively using practical techniques to find leaks, track fragmentation, and optimize allocator behaviorLearn from real products through case studies spanning wearables, industrial sensors, and edge computing platformsEach chapter blends theory with actionable techniques. You'll find configuration examples, tuning parameters, debugging strategies, and code patterns you can adapt immediately. The appendices provide quick-reference guides and starter templates for your own implementations.Why This Book Matters: Memory management in embedded systems isn't glamorous, but it's foundational. Get it right, and your devices run smoothly for years. Get it wrong, and you're chasing mysterious crashes and performance issues in production. This book ensures you get it right.Perfect for embedded systems engineers, kernel developers, and technical leads who refuse to leave performance and reliability to chance.Key Features: Practical, constraint-aware guidance for real IoT and embedded platformsSide-by-side comparisons of SLAB, SLUB, and custom pooling approachesReal-world case studies and failure patterns from shipped productsDebugging and profiling techniques you can apply todayConfiguration and tuning strategies for specific workloadsWho Should Read This Book: Embedded systems engineers optimizing memory-constrained devicesKernel developers working with Linux or custom RTOS environmentsPerformance engineers solving real-time latency and resource issuesTechnical leads architecting IoT platformsSystems programmers maintaining or extending kernel allocators This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 36,69
EUR 43,24 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Memory is the most precious resource in embedded and IoT systems. A poorly managed allocator can mean the difference between a product that ships on time and one that fails in the field-draining batteries, missing real-time deadlines, or crashing under load.This practical guide cuts through… the complexity of kernel memory management and gives you the tools to build systems that are both efficient and predictable. Whether you're working with wearables that have mere megabytes to spare or edge gateways managing thousands of concurrent connections, you'll learn exactly how to make every byte count.What You'll Master: Understand the fundamentals of memory architecture in resource-constrained kernels, from page-based systems to custom allocation strategiesChoose between SLAB and SLUB allocators with confidence, armed with benchmarks, trade-offs, and decision frameworks tailored to your hardwareDesign and implement memory pools that eliminate allocation latency and reduce fragmentation in performance-critical code pathsAchieve deterministic behavior through careful memory management, ensuring your systems meet real-time deadlines even under pressureDebug and profile effectively using practical techniques to find leaks, track fragmentation, and optimize allocator behaviorLearn from real products through case studies spanning wearables, industrial sensors, and edge computing platformsEach chapter blends theory with actionable techniques. You'll find configuration examples, tuning parameters, debugging strategies, and code patterns you can adapt immediately. The appendices provide quick-reference guides and starter templates for your own implementations.Why This Book Matters: Memory management in embedded systems isn't glamorous, but it's foundational. Get it right, and your devices run smoothly for years. Get it wrong, and you're chasing mysterious crashes and performance issues in production. This book ensures you get it right.Perfect for embedded systems engineers, kernel developers, and technical leads who refuse to leave performance and reliability to chance.Key Features: Practical, constraint-aware guidance for real IoT and embedded platformsSide-by-side comparisons of SLAB, SLUB, and custom pooling approachesReal-world case studies and failure patterns from shipped productsDebugging and profiling techniques you can apply todayConfiguration and tuning strategies for specific workloadsWho Should Read This Book: Embedded systems engineers optimizing memory-constrained devicesKernel developers working with Linux or custom RTOS environmentsPerformance engineers solving real-time latency and resource issuesTechnical leads architecting IoT platformsSystems programmers maintaining or extending kernel allocators This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
