As microservice-based systems scale across the cloud-edge continuum, traditional centralized scheduling mechanisms increasingly struggle with latency, coordination overhead, and fault tolerance. This paper presents a new architectural direction: leveraging service mesh sidecar proxies as decentralized, in-situ schedulers to enable scalable, low-latency coordination in large-scale, cloud-native environments. We propose embedding lightweight, autonomous scheduling logic into each sidecar, allowing scheduling decisions to be made locally without centralized control. This approach leverages the growing maturity of service mesh infrastructures, which support programmable distributed traffic management. We describe the design of such an architecture and present initial results demonstrating its scalability potential in terms of response time and latency under varying request rates. Rather than delivering a finalized scheduling algorithm, this paper presents a system-level architectural direction and preliminary evidence to support its scalability potential.

翻译：随着基于微服务的系统在云边连续体上不断扩展，传统的集中式调度机制在延迟、协调开销和容错性方面面临日益严峻的挑战。本文提出了一种新的架构方向：利用服务网格边车代理作为去中心化的原位调度器，以在大规模云原生环境中实现可扩展、低延迟的协调。我们建议将轻量级的自主调度逻辑嵌入到每个边车中，使得调度决策可以在本地进行，而无需集中控制。这种方法利用了日益成熟的服务网格基础设施，该设施支持可编程的分布式流量管理。我们描述了这种架构的设计，并展示了初步结果，这些结果证明了其在变化请求速率下响应时间和延迟方面的可扩展性潜力。本文并未提供一个最终的调度算法，而是提出了一个系统级的架构方向，并提供了初步证据来支持其可扩展性潜力。