绿色移动计算中人工智能的两面性：一项文献综述
The Two Faces of AI in Green Mobile Computing: A Literature Review
AI总结：
本文综述了过去十年人工智能在绿色移动计算中的应用，基于34篇论文划分出13个主题，指出AI既是移动功能使能者又是主要耗电源，并发现AI自身能耗研究不足、解决方案公开率低及产业参与欠缺等问题。
摘要：
人工智能正在为移动设备领域带来层出不穷的新功能，这些功能如今已被视为不可或缺（例如相机与语音助手、推荐系统）。然而，运行人工智能会消耗大量能源。但与此同时，人工智能也被用于实现更节能的移动系统解决方案。因此，人工智能在这方面具有两面性：它既是所期望的（高效）移动功能的关键使能者，也是这些设备上的主要耗电源，既参与解决问题，也构成问题本身。在本文中，我们对过去十年间关于人工智能在绿色移动计算领域应用情况的文献进行了综述。通过对34篇论文的分析，我们揭示了新兴的研究模式，并将该领域划分为13个主要主题，并对其进行了详细总结。我们的结果表明，该领域在过去几年中增长缓慢，更具体地说，自2019年以来有所增长。关于人工智能对移动设备能耗的双重影响，与将人工智能用于节能移动计算的研究相比，基于人工智能的移动系统自身的能源消耗问题研究不足，我们主张在该方向上开展更多探索性研究。我们观察到，尽管大多数研究以解决方案类论文的形式呈现（94%），但其中绝大多数并未将这些解决方案公开提供给社区。此外，我们还表明，大多数贡献纯属学术性质（34篇论文中有28篇），我们需要推动移动软件行业更多地参与这一领域。
英文摘要：
Artificial intelligence is bringing ever new functionalities to the realm of mobile devices that are now considered essential (e.g., camera and voice assistants, recommender systems). Yet, operating artificial intelligence takes up a substantial amount of energy. However, artificial intelligence is also being used to enable more energy-efficient solutions for mobile systems. Hence, artificial intelligence has two faces in that regard, it is both a key enabler of desired (efficient) mobile functionalities and a major power draw on these devices, playing a part in both the solution and the problem. In this paper, we present a review of the literature of the past decade on the usage of artificial intelligence within the realm of green mobile computing. From the analysis of 34 papers, we highlight the emerging patterns and map the field into 13 main topics that are summarized in details. Our results showcase that the field is slowly increasing in the past years, more specifically, since 2019. Regarding the double impact AI has on the mobile energy consumption, the energy consumption of AI-based mobile systems is under-studied in comparison to the usage of AI for energy-efficient mobile computing, and we argue for more exploratory studies in that direction. We observe that although most studies are framed as solution papers (94%), the large majority do not make those solutions publicly available to the community. Moreover, we also show that most contributions are purely academic (28 out of 34 papers) and that we need to promote the involvement of the mobile software industry in this field.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
