通过Istio、Kepler和智能调度实现优化的微服务性能和可持续性 | KC23

Towards Optimized Microservices Performance &... - Peng Hui Jiang & Kevin Su & Yingchun Guo

通过Istio、Kepler和智能调度实现优化的微服务性能和可持续性 | Towards Optimized Microservices Performance & Sustainability via Istio, Kepler and Smart Scheduling - Peng Hui Jiang & Kevin Su, IBM & Yingchun Guo, Intel

Istio是一种强大的服务网格，用于管理和编排复杂分布式系统中的微服务。然而，使用Istio的微服务环境通常涉及多个节点上运行的众多相互连接的服务，导致资源分配低效、能源消耗大和性能下降。为了解决这些挑战，我们提出了借助Kepler和Istio更好地了解微服务生态系统，并使用智能调度进行资源分配和优化。这些策略利用智能算法和启发式方法来动态分配资源、平衡工作负载和优化服务部署。通过这样做，可以提高整体资源利用率、能源效率和性能。在本次会议中，我们将演示一个真实案例，使用Kepler、Istio和智能调度策略来监控和优化更大规模的分布式微服务系统，以提高整体性能和可持续性。

Istio is a powerful service mesh for managing and orchestrating microservices in complex distributed systems. However, microservices environments with Istio often involve numerous interconnected services running on multiple nodes, resulting in inefficient resource allocation, significant energy consumption and performance degradation. To address these challenges, we propose Kepler and Istio that gain better visibility and observability into microservices ecosystem and then use smart scheduling for resource allocation and optimization. The strategies leverage intelligent algorithms and heuristics to dynamically allocate resources, balance workloads, and optimize service placement. To do so, overall resource utilization, energy efficiency and performance can be improved. In the session, we will demonstrate one real case to use Kepler, Istio and smart scheduling strategies to monitor and optimize larger distributed microservices system to enhance overall performance and sustainability.

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