• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

一种用于在下一代物联网计算生态系统中部署虚拟化服务的新型编排器架构。

A Novel Orchestrator Architecture for Deploying Virtualized Services in Next-Generation IoT Computing Ecosystems.

作者信息

Mahedero Biot Francisco, Fornes-Leal Alejandro, Vaño Rafael, Reinosa Simón Raúl, Lacalle Ignacio, Guardiola Carlos, Palau Carlos E

机构信息

Communications Department, Universitat Politècnica de València, 46022 Valencia, Spain.

Thermal Engines Department, Universitat Politècnica de València, 46022 Valencia, Spain.

出版信息

Sensors (Basel). 2025 Jan 24;25(3):718. doi: 10.3390/s25030718.

DOI:10.3390/s25030718
PMID:39943356
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11819753/
Abstract

The Next-Generation IoT integrates diverse technological enablers, allowing the creation of advanced systems with increasingly complex requirements and maximizing the use of available IoT-edge-cloud resources. This paper introduces an orchestrator architecture for dynamic IoT scenarios, inspired by ETSI NFV MANO and Cloud Native principles, where distributed computing nodes often have unfixed and changing networking configurations. Unlike traditional approaches, this architecture also focuses on managing services across massively distributed mobile nodes, as demonstrated in the automotive use case presented. Apart from working as MANO framework, the proposed solution efficiently handles service lifecycle management in large fleets of vehicles without relying on public or static IP addresses for connectivity. Its modular, microservices-based approach ensures adaptability to emerging trends like Edge Native, WebAssembly and RISC-V, positioning it as a forward-looking innovation for IoT ecosystems.

摘要

下一代物联网集成了多种使能技术，能够创建具有日益复杂需求的先进系统，并最大限度地利用可用的物联网边缘云资源。本文介绍了一种受ETSI NFV MANO和云原生原则启发的用于动态物联网场景的编排器架构，在这种场景中，分布式计算节点通常具有不固定且不断变化的网络配置。与传统方法不同，该架构还专注于管理大规模分布式移动节点上的服务，如所展示的汽车用例那样。除了作为MANO框架工作外，所提出的解决方案无需依赖公共或静态IP地址进行连接，就能高效处理大量车辆中的服务生命周期管理。其基于微服务的模块化方法确保了对诸如边缘原生、WebAssembly和RISC-V等新兴趋势的适应性，使其成为物联网生态系统的一项前瞻性创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/befaaf50b41b/sensors-25-00718-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/d0d45923fff1/sensors-25-00718-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/80469fca1dda/sensors-25-00718-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/e88021641a3d/sensors-25-00718-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/ffb97fe634b7/sensors-25-00718-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/523d0a54e349/sensors-25-00718-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/c533e741b6ed/sensors-25-00718-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/c0f899cc12d6/sensors-25-00718-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/f9dcf935054e/sensors-25-00718-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/588090a9764b/sensors-25-00718-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/cb9b4f5aeaa0/sensors-25-00718-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/dd0edd098110/sensors-25-00718-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/affabc37c42f/sensors-25-00718-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/befaaf50b41b/sensors-25-00718-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/d0d45923fff1/sensors-25-00718-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/80469fca1dda/sensors-25-00718-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/e88021641a3d/sensors-25-00718-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/ffb97fe634b7/sensors-25-00718-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/523d0a54e349/sensors-25-00718-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/c533e741b6ed/sensors-25-00718-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/c0f899cc12d6/sensors-25-00718-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/f9dcf935054e/sensors-25-00718-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/588090a9764b/sensors-25-00718-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/cb9b4f5aeaa0/sensors-25-00718-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/dd0edd098110/sensors-25-00718-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/affabc37c42f/sensors-25-00718-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf45/11819753/befaaf50b41b/sensors-25-00718-g013.jpg

相似文献

1
A Novel Orchestrator Architecture for Deploying Virtualized Services in Next-Generation IoT Computing Ecosystems.一种用于在下一代物联网计算生态系统中部署虚拟化服务的新型编排器架构。
Sensors (Basel). 2025 Jan 24;25(3):718. doi: 10.3390/s25030718.
2
A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers.面向动态物联网的毛细血管计算架构：边缘设备到雾计算和云计算提供商的微服务编排。
Sensors (Basel). 2018 Sep 4;18(9):2938. doi: 10.3390/s18092938.
3
Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms.通过边缘和云微服务平台实现物联网切片的编排。
Sensors (Basel). 2019 Jul 5;19(13):2980. doi: 10.3390/s19132980.
4
Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications.物联网应用中基于模糊逻辑的移动边缘编排器中的灵活计算卸载
J Cloud Comput (Heidelb). 2020;9(1):66. doi: 10.1186/s13677-020-00211-9. Epub 2020 Nov 25.
5
AI augmented edge and fog computing for Internet of Health Things (IoHT).用于健康物联网（IoHT）的人工智能增强边缘和雾计算。
PeerJ Comput Sci. 2025 Jan 30;11:e2431. doi: 10.7717/peerj-cs.2431. eCollection 2025.
6
Cloud-based virtualization environment for IoT-based WSN: solutions, approaches and challenges.用于基于物联网的无线传感器网络的基于云的虚拟化环境：解决方案、方法与挑战
J Ambient Intell Humaniz Comput. 2022;13(10):4681-4703. doi: 10.1007/s12652-021-03515-z. Epub 2022 Mar 26.
7
Edge-Computing Architectures for Internet of Things Applications: A Survey.物联网应用的边缘计算架构：一项综述。
Sensors (Basel). 2020 Nov 11;20(22):6441. doi: 10.3390/s20226441.
8
Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture.边缘-雾-云分层物联网架构中的节能节点选择。
Sensors (Basel). 2023 Jun 29;23(13):6039. doi: 10.3390/s23136039.
9
IoT-RECSM-Resource-Constrained Smart Service Migration Framework for IoT Edge Computing Environment.物联网边缘计算环境下的资源受限智能服务迁移框架IoT-RECSM-Resource-Constrained Smart Service Migration Framework
Sensors (Basel). 2020 Apr 17;20(8):2294. doi: 10.3390/s20082294.
10
Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring system.将元启发式与命名数据网络集成到物联网支持的医疗保健监测系统中的安全边缘计算中。
Sci Rep. 2024 Sep 15;14(1):21532. doi: 10.1038/s41598-024-71506-z.

本文引用的文献

1
Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions.边缘计算中的云原生工作负载编排：部署回顾与未来方向。
Sensors (Basel). 2023 Feb 16;23(4):2215. doi: 10.3390/s23042215.
2
Quality of Service Aware Orchestration for Cloud-Edge Continuum Applications.面向云边连续体应用的服务质量感知编排
Sensors (Basel). 2022 Feb 23;22(5):1755. doi: 10.3390/s22051755.