Service chain arrangement method

By adopting a sidecarless mode and dynamic control plane in the cloud platform, and combining multiple algorithms to optimize service chain orchestration, the problems of insufficient performance and difficulty in isolation in existing technologies are solved, and efficient, highly isolated and reliable service chain orchestration is achieved.

CN122053538APending Publication Date: 2026-05-15COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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Patent Information

Application Number
CN202610145179.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-02
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

Existing technologies in cloud platforms suffer from insufficient performance, difficulties in tenant isolation and traffic management, high latency, high resource consumption, high management complexity, and suboptimal path selection in service chain orchestration, making it difficult to meet the requirements of large-scale multi-tenant and high-performance scenarios.

Method used

Employing a sidecarless model, this system dynamically configures the logical control plane, combines topology sorting and rule merging optimization algorithms for directed acyclic graphs, utilizes Bloom filters and quadratic hashing for cookie collision detection and adaptive redistribution, and employs incremental difference calculation based on edit distance and shortest path and load-aware service chain path optimization algorithms to achieve traffic forwarding and high availability.

Benefits of technology

It improves the performance and isolation capabilities of the service chain, reduces resource overhead and management complexity, optimizes path selection, and meets the efficient orchestration needs of large-scale multi-tenant scenarios.

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Abstract

The invention discloses a service chain arrangement method. The method comprises the following steps: completing unified modeling, generation, distribution and recovery of a service chain strategy in a dynamically configured logic control plane; service nodes are directly hooked to a network plane, and flow forwarding is realized through a unified virtual exchange network bridge; a flow table engine in the control plane converts service chain configuration into a directed acyclic graph, topological sorting and rule combination optimization are carried out, flow table rules are generated, and priorities are automatically distributed; the control plane adopts a Cookie collision detection and self-adaptive redistribution algorithm based on a Bloom filter and secondary hash to generate a unique Cookie prefix for the tenant; the control plane performs incremental updating on the service chain change by adopting an incremental difference calculation and minimum updating algorithm based on an editing distance; and the control plane performs service chain path selection and load balancing by adopting a service chain path optimization algorithm based on the shortest path and load awareness. According to the method, performance, isolation and high availability can be considered in a multi-tenant environment.
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