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Exploring collaboration opportunities for distributed edge computing in SE Asia

Exploring collaboration opportunities for distributed edge computing in SE Asia
探索东南亚分布式边缘计算的合作机会
批准号:
10018608
负责人:
金额:
$2.68万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
翻译
从本地到虚拟化数据存储、计算、网络管理、应用程序和工作空间的演变已经改变了我们使用数字服务的方式,并带来了一些比传统系统明显的好处,例如易于管理、普遍可用性和降低对设备的硬件要求。我们正在见证从单独的人对人、人对机器和机器对机器(IoT)计算到万物互联(IoE)计算的变化。在无线通信技术的发展中,可以预见的下一步是向第六代网络的发展。这种转变将促进城市和室内空间的网络共享,特别是推动本地计算范式。在当今的云系统中,数据处理和决策逻辑都是在数据中心进行的,从性能、效率和可靠性、安全或隐私的角度来看,这并不是最优的。边缘计算是释放5G技术全部潜力的关键技术,因为它可以在终端设备附近部署计算任务,从而为无线连接的移动和物联网节点提供围绕实时云服务的新商机。它在数据源附近提供计算能力,允许各种数据预处理、精炼和分析功能,以减少要发送到云服务器的数据量,从而减少对核心网络和数据中心造成的负载。这项可行性研究的目的是了解市场需求、监管环境,并寻求技术和商业合作伙伴,在东盟地区提供人工智能管理的5G和网状连接的边缘计算设备和服务。该研究还将寻求优先确定哪个市场部门(例如关键的国家基础设施、急救人员/紧急服务、海事或外部广播/事件)能提供最快的投资回报和最高的出口增长潜力。
英文摘要
The evolution from local towards virtualised data storage, computation, network management, applications and workspaces has changed the way we use digital services and brought some clear benefits over traditional systems, such as easy management, universal availability and decreased hardware requirements for devices. We are witnessing a change from separate person-to-person, person-to-machine and machine-to-machine (IoT) computing towards the Internet of Everything (IoE) computing. The foreseen next step in the evolution of wireless communication technologies is the evolution towards 6th generation networks. This transition will boost network sharing in cities and indoor spaces, and -- especially -- drive the local computing paradigm. In today's cloud systems, data processing and decision-making logic are handled at data centres, which is not optimal from the viewpoint of performance, efficiency and reliability, security or privacy.Edge computing is a key technology to unleash the full potential of 5G technologies since it enables deploying computational tasks near the end-devices and therefore opens novel business opportunities around real-time cloud services for wirelessly connected mobile and IoT nodes. It provides computational capacity near the source of the data, allowing various data pre-processing, refining and analysis functions to reduce the amount of data to be sent to cloud servers and therefore reducing the load inflicted on core networks and data centres.The objective of this feasibility study is to understand the market demand, regulatory environment and seek technology and commercial partners to deliver AI managed 5G and mesh connected edge compute devices and services in the ASEAN region. The study will also seek to prioritise which market sector (e.g. critical national infrastructure, first responders/emergency services, maritime or outside broadcast/event) offer the fastest return on investment and the highest export growth potential.
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Supply Chain Collaboration in addressing Grand Challenges: Socio-Technical Perspective
  • 批准号:
    --
  • 项目类别:
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  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
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  • 批准号:
    10445002
  • 项目类别:
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  • 资助金额:
    10.0万元
  • 批准年份:
    2004
  • 负责人:
    韩良
  • 依托单位: