Cloud computing.
概要
作品: | 443 作品在 307 項出版品 307 種語言 |
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書目資訊
Introduction to Windows Azure = an introduction to cloud computing using Microsoft Windows Azure /
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Grid and cloud computing = a business perspective on technology and applications /
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Distributed and cloud computing : = from parallel processing to the Internet of things /
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Guide to reliable distributed systems = building high-assurance applications and cloud-hosted services /
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Private cloud computing = consolidation, virtualization, and service-oriented infrastructure /
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Business models for the social mobile cloud : = transform your business using social media, mobile Internet, and cloud computing /
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Collaboration with cloud computing = security, social media, and unified communications /
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Building your next big thing with Google cloud platform = a guide for developers and enterprise architects /
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Microservices, IoT, and Azure = leveraging DevOps and microservice architecture to deliver SaaS solutions /
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Architecting the cloud = design decisions for cloud computing service models (SaaS, PaaS, and IaaS) /
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Applied OpenStack design patterns = design solutions for production-ready infrastructure with OpenStack components /
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Business intelligence tools for small companies = a guide to free and low-cost solutions /
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Xamarin continuous integration and delivery = Team services, Test cloud, and Hockeyapp /
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Engineering scalable, elastic, and cost-efficient cloud computing applications = the CloudScale method /
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Inventing the cloud century = how cloudiness keeps changing our life, economy and technology /
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Planning cloud-based disaster recovery for digital assets = the innovative librarian's guide /
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Handbook of research on educational design and cloud computing in modern classroom settings
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Integration of cloud technologies in digitally networked classrooms and learning communities
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Azure Resource Manager templates quick start guide : = create, deploy, and manage Azure resources with ARM templates using best practices /
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Implementing cloud design patterns for AWS : = solutions and design ideas for solving system design problems /
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Oracle high availability, disaster recovery, and cloud services = explore RAC, data guard, and cloud technology /
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Software defined-WAN for the digital age = a bold transition to next generation networking /
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Practical Azure SQL database for modern developers = building applications in the Microsoft cloud /
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Getting started with containers in Google Cloud Platform = deploy, manage, and secure containerized applications /
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Beginning MLOps with MLFlow = deploy models in AWS SageMaker, Google Cloud, and Microsoft Azure /
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Pro Google cloud automation = with Google Cloud Deployment Manager, Spinnaker, Tekton, and Jenkins /
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Spring Cloud data flow = native cloud orchestration services for microservice applications on modern runtimes /
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Azure Arc-enabled data services revealed = early first edition based on public preview /
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New frontiers in information and software as services = service and application design challenges in the cloud /
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Achieving federated and self-manageable cloud infrastructures = theory and practice /
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Cloud computing for teaching and learning = strategies for design and implementation /
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Migrating legacy applications = challenges in service oriented architecture and cloud computing environments /
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Multi tenancy for cloud-based in-memory column databases = workload management and data placement /
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Cloud computing patterns = fundamentals to design, build, and manage cloud applications /
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Cloud-based design and manufacturing (CBDM) = a service-oriented product development paradigm for the 21st Century /
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Mobile networks and cloud computing convergence for progressive services and applications /
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Moving to the cloud corporation : = how to face the challenges and harness the potential of cloud computing /
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Web services, service-oriented architectures, and cloud computing = the savvy manager's guide /
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The basics of cloud computing = understanding the fundamentals of cloud computing in theory and practice /
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Cloud and virtual data storage networking = your journey to efficient and effective information services /
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Handbook of research on high performance and cloud computing in scientific research and education /
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Building a columnar database on RAMCloud = database design for the low-latency enabled data center /
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Cloud data centers and cost modeling = a complete guide to planning, designing and building a cloud data center /
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On top of the cloud = how CIOs leverage new technologies to drive change and build value across the enterprise /
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Transactions on large-scale data- and knowledge-centered systems XXX = special issue on cloud computing /
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Model-driven development and operation of multi-cloud applications = the MODAClouds approach /
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Reshaping accounting and management control systems = new opportunities from business information systems /
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Automated workflow scheduling in self-adaptive clouds = concepts, algorithms and methods /
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Azure automation using the ARM Model = an in-depth guide to automation with Azure Resource Manager /
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Industry trends in cloud computing = alternative business-to-business revenue models /
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Beginning serverless computing = developing with Amazon Web Services, Microsoft Azure, and Google Cloud /
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DBA transformations = building your career in the transition to on-demand cloud computing and extreme automation /
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Software data engineering for network eLearning environments = analytics and awareness learning services /
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Practical Microsoft Azure IaaS = migrating and building scalable and secure cloud solutions /
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Spectrum-aware mobile computing = convergence of cloud computing and cognitive networking /
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Pro Spring Boot 2 = an authoritative guide to building microservices, web and enterprise applications, and best practices /
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Hardening azure applications = techniques and principles for building large-scale, mission-critical applications /
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Computational intelligence for multimedia big data on the cloud with engineering applications /
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Big data and cloud computing for development = lessons from key industries and economies in the global south /
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Building machine learning and deep learning models on Google Cloud Platform = a comprehensive guide for beginners /
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The definitive guide to AWS Infrastructure Automation = craft infrastructure-as-code solutions /
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Practical Oracle Cloud Infrastructure = infrastructure as a service, autonomous database, managed Kubernetes, and serverless /
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Cloud debugging and profiling in Microsoft Azure = application performance management in the cloud /
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Managing PeopleSoft on the Oracle cloud = best practices with PeopleSoft Cloud Manager /
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Beginning Apache Spark using Azure databricks = unleashing large cluster analytics in the cloud /
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Pro ASP.NET Core 3 = develop cloud-ready web applications using MVC, Blazor, and Razor Pages /
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Dynamics 365 essentials = bgetting started with Dynamics 365 apps in the common data service /
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The cloud-to-thing continuum = opportunities and challenges in cloud, fog and edge computing /
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Hands-on Azure pipelines = understanding continuous integration and deployment in Azure DevOps /
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Fog computing for healthcare 4.0 environments = technical, societal, and future implications /
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Cognitive internet of medical things for smart healthcare = services and applications /
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Monitoring cloud-native applications = lead agile operations confidently using open source software /
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Multi-site network and security services with NSX-T = implement network security, stateful services, and operations /
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Extending Kubernetes = elevate Kubernetes with extension patterns, operators, and plugins /
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Demystifying the Azure well-architected framework = guiding principles and design best practices for Azure workloads /
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Running Microsoft workloads on AWS = active directory, databases, development, and more /
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The cognitive approach in cloud computing and internet of things technologies for surveillance tracking systems
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Challenges and opportunities for the convergence of IoT, big data, and cloud computing
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The fusion of internet of things, artificial intelligence, and cloud computing in health care
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The definitive guide to Azure data engineering = modern ELT, DevOps, and analytics on the Azure Cloud Platform /
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Spring Boot with React and AWS = learn to deploy a full stack Spring Boot React application to AWS /
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Fog data analytics for IoT applications = next generation process model with state of the art technologies /
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Handbook of integration of cloud computing, cyber physical systems and Internet of Things
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Cloud native architecture and design = a handbook for modern day architecture and design with enterprise-grade examples /
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Mastering Azure API management = a practical approach to designing and implementing an API-centric enterprise architecture /
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Azure Arc-enabled data services revealed = deploying Azure Data services on any infrastructure /
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Pro ASP.NET Core 6 = develop cloud-ready web applications using MVC, Blazor, and Razor Pages /
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Pro serverless data handling with Microsoft Azure = architecting ETL and data-driven applications in the cloud /
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Practical guide to Salesforce Experience Cloud = building, enhancing, and managing a digital experience with Salesforce /
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SAP S/4HANA systems in Hyperscaler clouds = deploying SAP S/4HANA in AWS, Google Cloud, and Azure /
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Microsoft Orleans for developers = build cloud-native, high-scale, distributed systems in .NET using Orleans /
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Cloud attack vectors = building effective cyber-defense strategies to protect cloud resources /
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Mapping data flows in Azure data factory = building scalable ETL projects in the Microsoft Cloud /
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Beginning Azure static web apps = building and deploying dynamic web applications with Blazor /
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Pro Cloud Native Java EE apps = DevOps with MicroProfile, Jakarta EE 10 APIs, and Kubernetes /
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5G radio access networks = centralized RAN, cloud-RAN, and virtualization of small cells /
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Pro .NET on Amazon web services = guidance and best practices for building and deployment /
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Azure security for critical workloads = implementing modern security controls for authentication, authorization and auditing /
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MySQL database service revealed = running mysql as a service in the oracle cloud infrastructure /
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Building enterprise IoT solutions with eclipse IoT technologies = an open source approach to edge computing /
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Building modern business applications = reactive cloud architecture for Java, Spring, and PostgreSQL /
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Developing cloud-native solutions with Microsoft Azure and .NET = build highly scalable solutions for the enterprise /
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Practical GitOps = infrastructure management using Terraform, AWS, and GitHub Actions /
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Practical Spring Cloud function = developing Cloud-Native functions for Multi-Cloud and Hybrid-Cloud environments /
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Digital transformation = core technologies and emerging topics from a computer science perspective /
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AWS for public and private sectors = cloud computing architecture for government and business /
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Distributed serverless architectures on AWS = design and implement serverless architectures /
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Practical OpenTelemetry = adopting open observability standards across your organization /
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A practical guide to SAP Integration Suite = SAP's cloud middleware and integration solution /
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Cooperative and distributed intelligent computation in fog computing = concepts, architectures, and frameworks /
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High performance computing in clouds = moving HPC applications to a scalable and cost-effective environment /
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The cloud leader's handbook = strategically innovate, transform, and scale organizations /
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Serverless web applications with AWS amplify = build full-stack serverless applications using Amazon Web Services /
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Modern data architecture on Azure = design data-centric solutions on microsoft Azure /
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Google Cloud Platform for data science = a crash course on big data, machine learning, and data analytics services /
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An Enhanced Fully Homomorphic Encryption Scheme for Cloud Computing Using Residue Number System.
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Machine Learning and Vision Using Edge Devices for Multimodal Chatbots and Bio-meteorological Sensing.
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Sensing the Cloud: A Materialist Spatial Analysis of Data Centers and Critical Conceptualization.
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Beginning HCL programming = using Hashicorp language for automation and configuration /
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Architecting and operating OpenShift clusters = OpenShift for infrastructure and operations teams /
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Continuous architecture = sustainable architecture in an agile and cloud-centric world /
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Implications of mobility as a service (MaaS) in urban and rural environments = emerging research and opportunities /
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Cloud native integration with Apache Camel = building agile and scalable integrations for Kubernetes platforms /
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Pro Azure administration and automation = a comprehensive guide to successful cloud management /
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Systematic cloud migration = a hands-on guide to architecture, design, and technical implementation /
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Pro Google Kubernetes Engine = network, security, monitoring, and automation configuration /
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Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making.
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Practical event-driven microservices architecture = building sustainable and highly scalable event-driven microservices /
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Building applications with Azure Resource Manager (ARM) = leverage IaC to vastly improve the life cycle of your applications /
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Azure Arc-enabled Kubernetes and servers = extending hyperscale cloud management to your datacenter /
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Introducing Microsoft Orleans = implementing cloud-native services with a virtual actor framework /
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Predictive analytics in cloud, fog, and edge computing = perspectives and practices of blockchain, IoT, and 5G /
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Implementing cloud robotics for practical applications = from human-robot interaction to autonomous navigation /
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Software development with Go = cloud-native programming using golang with Linux and docker /
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Cloud computing with AWS = everything you need to know to be an AWS cloud practitioner /
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A complete guide to DevOps with AWS = deploy, build, and scale services with AWS tools and techniques /
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Designing applications for Google Cloud Platform = create and deploy applications using Java /
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Towards the integration of IoT, cloud and big data = services, applications and standards /
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Azure for .NET core developers = implementing Microsoft Azure solutions using .NET core framework /
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Impact of Institutional Trust And Trust In Cloud Service Provider on the Adoption of Cloud Computing: A Quantitative Study .
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Energy and Performance-Optimized Scheduling of Tasks in Distributed Cloud and Edge Computing Systems.
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