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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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相关实验视频

Updated: Jul 4, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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在物联网中提高服务可用性和资源部署,使用共享服务复制方法.

Khaled Kaaniche1, Salwa Othmen2, Ayman Alfahid3

  • 1Department of Electrical Engineering, College of Engineering, Jouf University, Sakakah, 72388, Saudi Arabia.

Heliyon
|February 8, 2024
PubMed
概括
此摘要是机器生成的。

共享复制增强方法 (SRAM) 优化了物联网 (IoT) 资源使用和服务可用性. 这种新的方法提高了网络功能虚拟化 (NFV) 环境的效率.

关键词:
数据可用性数据的可用性.这就是为什么物联网物联网物联网.没有NFV,没有NFV.回归学习是一种回归式的学习.资源利用情况 资源利用情况服务可用性 服务可用性

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 信息技术 信息技术 信息技术

背景情况:

  • 物联网 (IoT) 应用程序需要可访问和可复制的资源来实现灵活性.
  • 网络功能虚拟化 (NFV) 集成到物联网中,以最大限度地利用资源并利用终端数据.
  • 未充分利用的网络功能 (NFV) 和服务可用性是物联网环境中的关键挑战.

研究的目的:

  • 提出共享复制增强方法 (SRAM),以提高未充分利用的NFV的资源使用率.
  • 保持同时的服务可用性,同时提高物联网系统中的资源利用率.
  • 利用回归决策学习来检测NFV数据和应用程序可移植性的需求.

主要方法:

  • 共享复制增强方法 (SRAM) 使用回归决策学习来识别NFV数据和应用程序可移植性要求.
  • SRAM 动态调整程序,考虑可互操作应用程序的没有计算功能的分配.
  • 该方法基于历史的使用和数据复制模式来分配虚拟化和可用性.

主要成果:

  • 在不增加延迟的情况下,SRAM 提高了 7.09% 的资源使用率.
  • 服务可用性提高了10.4%,而延迟时间减少了11.89%.
  • 积压被消除了11.1%,数据重复减少了8.97%.

结论:

  • 在物联网环境中,SRAM提供了一种可行的解决方案,以提高资源消耗和生产率.
  • 提出的方法有效地减少了数据复制,延迟和队列.
  • 在虚拟化的物联网环境中,SRAM显著增加了服务的整体可用性.