Oakestra白皮书：边缘计算的解决方案
Oakestra white paper: An Orchestrator for Edge Computing
摘要：
边缘计算旨在通过利用部署在更靠近用户的计算资源来实现具有严格延迟要求的应用程序。边缘基础设施的多样性、动态性和受约束性需要一个灵活的编排框架来动态支持应用QoS要求。然而，现有的最先进的编排平台是为数据中心环境设计的，并对不适用于边缘计算的底层基础设施进行了严格的假设。这项工作提出了一种新的层次编排框架，专门设计用于支持边缘基础设施上的服务操作。通过其新颖的联合集群管理，委托任务调度和语义覆盖网络，我们的系统可以灵活地整合多个基础设施运营商，并吸收边缘的动态变化。我们全面评估了我们的概念验证实施- Oakestra -在受控和现实的测试平台上与最先进的解决方案进行比较，并展示了我们的方法的显著优势，因为我们分别实现了约10倍和30%的CPU和内存消耗减少。
英文摘要：
Edge computing seeks to enable applications with strict latency requirements by utilizing compute resources deployed closer to the users. The diverse, dynamic, and constrained nature of edge infrastructures necessitates a flexible orchestration framework that dynamically supports application QoS requirements. However, existing state-of-the-art orchestration platforms were designed for datacenter environments and make strict assumptions about underlying infrastructures that do not hold for edge computing. This work proposes a novel hierarchical orchestration framework specifically designed for supporting service operation over edge infrastructures. Through its novel federated cluster management, delegated task scheduling, and semantic overlay networking, our system can flexibly consolidate multiple infrastructure operators and absorb dynamic variations at the edge. We comprehensively evaluate our proof-of-concept implementation -- Oakestra -- against state-of-the-art solutions in both controlled and realistic testbeds and demonstrate the significant benefits of our approach as we achieve approximately 10x and 30% reduction in CPU and memory consumption, respectively.
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。
