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vxworks 7:实时与智能边缘的结合

2024-02-01风河表***
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vxworks 7:实时与智能边缘的结合

Meet the Intelligent EdgeWhile the concept of edge computing has beenaround for years, the intelligent edge is a fairly newphenomenon. It refers to edge-based applicationswhose data processing is done at the source(i.e., at the edge) rather than hauled back to acentral processing facility.As you might imagine, intelligent edge applications tend to emphasizeeither real-time or near-real-time analytics — think manufacturing assemblylines, self-steering vehicles, healthcare monitoring devices, and so on.This rise of the intelligent edge has grown in tandem with the number ofsensors and connected devices (often referred to as the Internet of Thingsor IoT) that are deployed by various industries such as manufacturing,mining, transportation, aerospace, and defense. The more devices deployedat the edge, the more data generated at the edge — and the greater the needto process that data at the source to support real-time intelligence.The intelligent edge brings both new opportunities and new challenges foredge applications. Organizations need to be able to answer a specific set ofquestions when deploying intelligent edge applications, such as:•Do we have the technology to support artificial intelligence andmachine learning at the edge?•Does our application require digital feedback loops to drivereal-time decisioning?•Is our application compliant with the latest security andcertification requirements?•Do we have a software bill of materials (SBOM) that addresses awide variety of software from different vendors?•Are we able to test our application at scale early in thedevelopment lifecycle?•Can we deploy our application on a variety of differenthardware vendor platforms?•Is it simple to manage tasks such as remote configuration,policy automation, and automated updates? The more devicesdeployed at theedge, the moredata generated atthe edge — and thegreater the need toprocess that dataat the source tosupport real-timeintelligence. First introduced almost 30 years ago, VxWorks®has continually evolved to meet the changing requirements of a modern,deterministic, real-time operating system (RTOS). Today, that means advanced security features, cloud-native capabilities(including container support), support for the latest programming languages, and integration with artificial intelligence (AI)and machine learning (ML) technologies. VxWorks 7 has undergone significant enhancements since it was released in2014. In the last three years alone, our development team has added a host of new capabilities and features, many of themspecifically designed to address the challenges of the intelligent edge.Meet the LatestVersion of VxWorks2021Performance Improvements▪Containers (OCI compliant)▪Microsoft Azure IoT embedded SDK▪AI/ML frameworks: Python 3.9, PandasSafety and Security Improvements▪Kernel address sanitizer (KASAN)▪Stack-smashing protection2022New Features▪Cloud AWS IoT Device SDK▪AWS Graviton2 EC2 support▪OCI container enhancements▪AI/ML Python and TensorFlowLite upgrade▪Harmonized LLVM/Clang 13.0.1 for all▪U.S. DoD Iron Bank–approved builderprocessor architecture supportPerformance Improvements▪Gigabit network throughput improvement▪TSN hardware enablement▪OPC UA open62541 version 1.3.1Safety and Security Improvements▪OpenSSL 3.0.5▪SBOM add-onNew Features▪Containers (OCI compliant)▪Microsoft Azure IoT embedded SDK▪AI/ML frameworks: Python 3.9, Pandas,▪LLVM/Clang 12.0.0 upgradeTensorFlow LiteFigure 1. VxWorks 7: A history of innovation 22023New Features▪OCI container signing support▪VxWorks K8 orchestration▪AUTOSAR integration and MCAL layer▪LLVM 16 upgrade▪C++ Boost library 1.81 upgrade▪AI/ML digital feedback loopPerformance Improvements▪File system updates▪TSN profile, config, and advancements▪OPC UA enhancementsSafety and Security Improvements▪DO-178C DAL-A cert (Armv8 and Intel 64)▪ISO 26262 ASIL-D certification▪OpenSSL 3.1 upgrade and FIPS module▪SBOM enhancements Artificial Intelligence/Machine LearningIn 2021, we added AI/ML frameworks to VxWorks 7 to support intelligent systems at the edge. Integration with AI/MLtools at the edge enables application developers to leverage real-time data processing, reduce latency, conserve net-work bandwidth, and create exciting new use cases for their business.Open Container Initiative (OCI) ComplianceAlso in 2021, VxWorks 7 became the first (and remains the only) RTOS to achieve OCI compliance. This means developerscan use VxWorks 7 with Kubernetes orchestration to support agile software development processes, create portable appli-cations with remote container management, and deploy smaller applications.Container RegistriesVxWorks 7 today works with a variety of leading container registries, including Amazon’s Elastic Container Registry (ECR),Docker Hub, and Harbor. This allows developers to reuse applications effectively across their business.Hardware and Software SupportIn 2022, we added Amazon’s Graviton EC2 processors to our list of hardware platforms that VxWorks 7 supports,