Intelligent Cloud Resource Management using Deep Reinforcement Learning

我们可以在以下主题上取得足够的结果。如何在离线模式下使用收集的数据，以便为云服务组合提供更有效的方法。 如何使用新颖的联合学习技术来提高云数据的安全性和隐私性，因此CIVID-19的爆发、旅行和运动受到限制。 这对我们的能力有很大的影响，以特别地关注国际会议和社会会议。基于这些，我们计划调查联合学习的应用程序，以确保在多个云供应商之间交换和提供云服务的自动管理。

We were able to achieve sufficient results on the following subjects.・ how to utilize the collectec data in offline mode in order to provide more efficient approaches for clud service compositions.・ how to improve the security and privacy of the clud data using novel federated learning techniques.Due to the outbreak of CIVID-19, travel and movement became restricted. This has greatly affected our ability to move especially attending international conferences and society meeting.Based on these, we plan to investigate the application of federated learning in order to secure the privacy of cloud data during exchange among multiple coud ventors and provide autonomous management for coud services.