论文标题
边缘云系统的弹性增强
Resilience Enhancement at Edge Cloud Systems
论文作者
论文摘要
将交互式和基于位置的服务从远程数据中心推向资源受限的边缘域已成为普遍的做法。这种趋势在网络边缘产生了新的管理挑战,尤其是确保弹性。现在需要调查和克服这些挑战。在本文中,我们探讨了在Edge Cloud Systems在Edge Cloud Systems上使用开源可编程资产编排,以确保运行弹性和令人满意的性能水平,尽管系统事件(例如故障,拥塞或网络攻击)。我们讨论了新的跨级可配置解决方案,弹性边缘云系统(REC)的设计和部署。对REC进行的适当测试的结果突出了在可编程边缘系统的数据和控制平面上部署新颖的服务和资源管理算法的积极影响,以减轻诸如控制渠道问题,服务过载或链接充血等破坏性事件。 REC提供以下好处:i)开关从上层控制器断开连接后自动选择独立操作模式; ii)根据客户的要求,进行边缘虚拟服务的部署; iii)客户请求由边缘服务服务,相关流量在到达边缘位置的替代按需路由路径之间是平衡的,在该路口可为其客户提供每个服务; iv)TCP的交通质量受到UDP流动的不公平竞争力的保护; v)一组冗余控制器由顶级多线程群集管理器精心策划,使用低开销的新型管理协议。
It is becoming common practice to push interactive and location-based services from remote datacenters to resource-constrained edge domains. This trend creates new management challenges at the network edge, not least to ensure resilience. These challenges now need to be investigated and overcome. In this paper, we explore the use of open-source programmable asset orchestration at edge cloud systems to guarantee operational resilience and a satisfactory performance level despite system incidents such as faults, congestion, or cyber-attacks. We discuss the design and deployment of a new cross-level configurable solution, Resilient Edge Cloud Systems (RECS). Results from appropriate tests made on RECS highlight the positive effects of deploying novel service and resource management algorithms at both data and control planes of the programmable edge system to mitigate against disruptive events such as control channel issues, service overload, or link congestion. RECS offers the following benefits: i) the switch automatically selects the standalone operation mode after its disconnection from the upper-level controllers; ii) deployment of edge virtualized services is made, according to client requests; iii) the client requests are served by edge services and the related traffic is balanced among the alternative on-demand routing paths to the edge location where each service is available for its clients; iv) the TCP traffic quality is protected from unfair competitiveness of UDP flows; and v) a set of redundant controllers is orchestrated by a top-level multi-thread cluster manager, using a novel management protocol with low overhead.