Simić Miloš, Sladić Goran, Zarić Miroslav, Markoski Branko
Faculty of Technical Sciences, University of Novi Sad, Trg D. Obradovića 6, 21000 Novi Sad, Serbia.
Technical Faculty Mihajlno Pupin, University of Novi Sad, Đure Đakovića bb, 23000 Zrenjanin, Serbia.
Sensors (Basel). 2021 Oct 22;21(21):7001. doi: 10.3390/s21217001.
Edge computing offers cloud services closer to data sources and end-users, making the foundation for novel applications. The infrastructure deployment is taking off, bringing new challenges: how to use geo-distribution properly, or harness the advantages of having resources at a specific location? New real-time applications require multi-tier infrastructure, preferably doing data preprocessing locally, but using the cloud for heavy workloads. We present a model, able to organize geo-distributed nodes into micro clouds dynamically, allowing resource reorganization to best serve population needs. Such elasticity is achieved by relying on cloud organization principles, adapted for a different environment. The desired state is specified descriptively, and the system handles the rest. As such, infrastructure is abstracted to the software level, thus enabling "infrastructure as software" at the edge. We argue about blending the proposed model into existing tools, allowing cloud providers to offer future micro clouds as a service.
边缘计算为数据源和终端用户提供了更接近的云服务，为新型应用奠定了基础。基础设施部署正在兴起，带来了新的挑战：如何正确使用地理分布，或利用在特定位置拥有资源的优势？新的实时应用需要多层基础设施，最好在本地进行数据预处理，但将繁重的工作负载交给云处理。我们提出了一个模型，能够将地理分布的节点动态组织成微云，允许资源重新组织以最佳地满足人群需求。这种弹性是通过依赖适用于不同环境的云组织原则来实现的。所需状态通过描述性方式指定，系统负责处理其余部分。这样，基础设施就被抽象到软件层面，从而在边缘实现了“软件即基础设施”。我们主张将所提出的模型融入现有工具，使云提供商能够将未来的微云作为服务提供。
