MMLite:下一代蜂窝分组核心的可扩展和资源高效控制平面

Vasudevan Nagendra, A. Bhattacharya, Anshul Gandhi, Samir R Das
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引用次数: 16

摘要

随着具有不同流量特征和服务水平目标(slo)的蜂窝物联网设备的增加,在蜂窝分组核心网中以可扩展和资源高效的方式处理控制流量至关重要。服务提供商采用的蜂窝核心的传统单片设计相对于物联网设备的多样化需求和突发负载来说是不灵活的,特别是在弹性、可定制性和可扩展性等属性方面。为了解决这一关键挑战,我们将重点放在蜂窝分组核心网中最关键的控制平面组件——移动管理实体(MME)上。我们提出了MMLite,这是一种功能分解和无状态的MME设计,其中单个控制过程作为微服务实现,状态与其处理解耦,从而实现弹性和容错。为了满足SLO要求,我们开发了一种基于倾斜一致性散列的多级负载平衡方法,以有效地分发传入连接。我们评估了MMLite相对于现有方法在可扩展性、容错性、SLO遵从性和资源效率方面的性能优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MMLite: A Scalable and Resource Efficient Control Plane for Next Generation Cellular Packet Core
With increase in cellular-enabled IoT devices having diverse traffic characteristics and service level objectives (SLOs), handling the control traffic in a scalable and resource-efficient manner in the cellular packet core network is critical. The traditional monolithic design of the cellular core adopted by service-providers is inflexible with respect to the diverse requirements and bursty loads of IoT devices, specifically for properties such as elasticity, customizability, and scalability. To address this key challenge, we focus on the most critical control plane component of the cellular packet core network, the Mobility Management Entity (MME). We present MMLite, a functionally decomposed and stateless MME design wherein individual control procedures are implemented as microservices and states are decoupled from their processing, thus enabling elasticity and fault tolerance. For SLO compliance, we develop a multi-level load balancing approach based on skewed consistent hashing to efficiently distribute incoming connections. We evaluate the performance benefits of MMLite over existing approaches with respect to scaling, fault tolerance, SLO compliance and resource efficiency.
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