论文标题
节能部署和编排网络边缘的计算资源：算法，趋势和开放挑战的调查
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges
论文作者
论文摘要
移动网络正在变得饥饿，由于通信和计算需求激增，这种趋势有望继续。多访问边缘计算（MEC）将需要消耗能量的服务和应用，并在生态可持续性方面具有不可忽视的影响。在本文中，我们对现有方法进行了全面审查，以使边缘计算网络更绿，包括但不限于对可再生能源资源的开发和上下文意识。因此，我们从充满活力的可持续性角度提供了有关MEC最近发展的最新信息，以解决计算资源的初步部署，其动态（RE）分配以及分布式和联合的学习设计。在此过程中，我们强调了这些算法的能源方面，提倡对与可持续发展目标（SDG）和巴黎协议保持一致的能源可持续的边缘计算系统的需求。据我们所知，这是第一部提供有关能源收获MEC的有效部署和管理的系统文献综述的工作，特别关注计算任务的部署，提供和调度，包括用于分布式边缘智能的联合学习，以使边缘网络绿色和更可持续性。在本文的最后，针对所有调查的主题确定了开放的研究途径和挑战。
Mobile networks are becoming energy hungry, and this trend is expected to continue due to a surge in communication and computation demand. Multi-access Edge Computing (MEC), will entail energy-consuming services and applications, with non-negligible impact in terms of ecological sustainability. In this paper, we provide a comprehensive review of existing approaches to make edge computing networks greener, including but not limited to the exploitation of renewable energy resources, and context-awareness. We hence provide an updated account of recent developments on MEC from an energetic sustainability perspective, addressing the initial deployment of computing resources, their dynamic (re)allocation, as well as distributed and federated learning designs. In doing so, we highlight the energy aspects of these algorithms, advocating the need for energy-sustainable edge computing systems that are aligned with Sustainable Development Goals (SDGs) and the Paris agreement. To the best of our knowledge, this is the first work providing a systematic literature review on the efficient deployment and management of energy harvesting MEC, with special focus on the deployment, provisioning, and scheduling of computing tasks, including federated learning for distributed edge intelligence, toward making edge networks greener and more sustainable. At the end of the paper, open research avenues and challenges are identified for all the surveyed topics.
