Service-centric View: Microservice Autoscaling and Caching in Edge Computing (C07#)

术语边缘计算表示最近在用户附近（即在互联网的边缘）提供云计算功能的努力;延迟关键应用，例如，对于增强现实和物联网，可能特别受益于这些努力。协作研究中心（CRC）1053的拟议新子项目将根据CRC研究边缘计算;因此，它将从以服务为中心的角度强调CRC范围内的高度自适应网络问题。更具体地说，所需的功能应建模为微服务，并应研究两个基本挑战，即自动缩放和缓存。该子项目将设计新的正式模型和算法解决方案，并研究它们映射到CRC范围内的机制和机制转换概念。正式模型应捕获功能和时间保证，这是CRC中尚未涵盖的两个重要边缘计算方面。此外，还将涵盖对边缘计算中语义不同机制之间的共存和突变的支持，从而探索上述CRC范围概念的新方面;这个新方面有可能为整个CRC提供信息。

The term edge computing denotes recent efforts to provide cloud computing functionality in the users’ proximity, i.e. at the edge of the Internet; latency-critical applications, e.g., for Augmented Reality and the Internet-of-Things, may particularly benefit from these efforts. The proposed new subproject of the Collaborative Research Center (CRC) 1053 will investigate edge computing in the light of the CRC; thereby it shall emphasize the CRC-wide issue of highly adaptive networks, taking a service-centric perspective. More specifically, desired functionality shall be modeled as microservices and two fundamental challenges shall be investigated, namely autoscaling and caching. The subproject shall devise new formal models and algorithmic solutions, and investigate their mapping onto the CRC-wide concepts of mechanisms and mechanism transitions. The formal model shall capture functional and temporal guarantees, two important edge computing aspects not covered in the CRC yet. Moreover, support for the coexistence of, and mutation between semantically different mechanisms in edge computing shall be covered, thereby exploring a new facet of CRC-wide concepts mentioned above; this new facet has the potential to inform the CRC as a whole.