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Deep Learning and Its Applications for Vehicle Networks

Edited by Fei Hu, Iftikhar Rasheed ...

Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control ... Read more

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Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control
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Parallel Algorithms

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Series series Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
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The Art of Capacity Planning

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Bringing together an extensively researched area with an emerging research issue, Context-Aware Computing and Self-Managing Systems presents the core contributions of context-aware computing in the development of self-managing systems, including devices, applications, middleware, and networks. The expert contributors reveal the usefulness of contex
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Learn how to automate and manage your containers and reduce the overall operation burden on your system.Key FeaturesUse containers to manage, scale and orchestrate apps in your organizationTransform the latest concept of Kubernetes 1.10 into examplesExpert techniques for orchestrating containers effectivelyBook DescriptionKubernetes is an open source orchestration platform to manage containers in
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The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models.This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching
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Distributed Algorithms

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Kubernetes and Cloud Native Associate (KCNA) Study Guide

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A guide to pass the GCP Professional Data Engineer exam on your first attempt and upgrade your data engineering skills on GCP.Key FeaturesFully understand the certification exam content and exam objectivesConsolidate your knowledge of all essential exam topics and key conceptsGet realistic experience of answering exam-style questionsDevelop practical skills for everyday usePurchase of this book
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Cloud Computing

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Implementing Microsoft Dynamics 365 for Finance and Operations Apps

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by Malcolm Orr, Yang-Xin Cao ...

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Go from a single pod to petaflop scale: run large-scale AI and HPC on Kubernetes with Kueue, Ray, Karpenter, JobSet, GPUs, and real industry workloads.Key FeaturesBuild the whole stack, from a single pod to supercompute scaleMigrate SLURM, PBS, and LSF batch workloads to Kubernetes-native job patterns with deployable, production-tested examplesApply the stack to real finance, genomics, engineering
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Ultimate Hyperledger Fabric for DeFi with Blockchain

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Flow Architectures

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Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet.This book explores critical implications of ... Read more

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The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures offer new distributed primitives that require a different set of practices than many developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huss provide common reusable patterns and ... Read more

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The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures offer new distributed primitives that require a different set of practices than many developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huss provide common reusable patterns and
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Beginning Serverless Architectures with Microsoft Azure

Design scalable applications and microservices that effortlessly adapt to the requirements of your customers

by Daniel Bass ...

Migrating your application to a cloud-based serverless architecture doesn't have to be difficult. Reduce complexity and minimize the time you spend administering servers or worrying about availability with this comprehensive guide to serverless applications on Azure.Key FeaturesProvides information on integration of Azure productsPlan and implement your own serverless backend to meet tried-and ... Read more

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Migrating your application to a cloud-based serverless architecture doesn't have to be difficult. Reduce complexity and minimize the time you spend administering servers or worrying about availability with this comprehensive guide to serverless applications on Azure.Key FeaturesProvides information on integration of Azure productsPlan and implement your own serverless backend to meet tried-and
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Datadog Cloud Monitoring Quick Start Guide

Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

by Thomas Kurian Theakanath ...

A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environmentsKey FeaturesLearn Datadog to proactively monitor your infrastructure and cloud servicesUse Datadog as a platform for aggregating monitoring efforts in your organizationLeverage Datadog's alerting service to implement on-call and site reliability engineering (SRE) ... Read more

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A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environmentsKey FeaturesLearn Datadog to proactively monitor your infrastructure and cloud servicesUse Datadog as a platform for aggregating monitoring efforts in your organizationLeverage Datadog's alerting service to implement on-call and site reliability engineering (SRE)
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Building a Windows IT Infrastructure in the Cloud

Distributed Hosted Environments with AWS

by David K. Rensin ...

Run your entire corporate IT infrastructure in a cloud environment that you control completely—and do it inexpensively and securely with help from this hands-on book. All you need to get started is basic IT experience.You’ll learn how to use Amazon Web Services (AWS) to build a private Windows domain, complete with Active Directory, enterprise email, instant messaging, IP telephony, automated ... Read more

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Run your entire corporate IT infrastructure in a cloud environment that you control completely—and do it inexpensively and securely with help from this hands-on book. All you need to get started is basic IT experience.You’ll learn how to use Amazon Web Services (AWS) to build a private Windows domain, complete with Active Directory, enterprise email, instant messaging, IP telephony, automated
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Distributed Algorithms, second edition

Distributed Algorithms

Kubernetes and Cloud Native Associate (KCNA) Study Guide

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