Content-based Fine-grained Flow Management Supporting Out-of-Path Transparent Add-ons

2025-11-12

AI Summary

To address insufficient flexibility in fine-grained flow control within edge domains of smart communities and the resource dependency of traditional transparent plugins on the main forwarding path, this paper proposes a network-transparent, content-level flow management mechanism. Methodologically, it introduces: (1) a main-path-independent transparent augmentation architecture enabling anonymized processing off the critical forwarding path; (2) precise, packet-content-fragment–based control—including selective payload filtering and dynamic TCP ACK/sequence number rewriting; and (3) a content-aware flow scheduler with transparent egress-path extension. Evaluated on Mininet, the approach achieves near-zero additional latency while simultaneously ensuring fine-grained flow control accuracy, TCP session integrity, network transparency, and user privacy preservation. Results demonstrate significant improvements in service customization and security compliance capabilities for edge computing scenarios.

Technology Category

• Machine Learning: Learning on the Edge & Model Compression
• Planning, Routing, and Scheduling: Plan Execution and Monitoring
• Multiagent Systems: Mechanism Design

Application Category

• Security and Privacy: Data transparency and provenance
• Responsible Web: Algorithmic accountability and transparency on the web
• Systems and Infrastructure for Web, Mobile and WoT: Cloud, edge and content delivery systems for the Web

Abstract

This study aims to realize a mechanism for packet processing in the edge domain while maintaining network transparency, in order to accommodate diverse service requirements in smart communities. Since conventional flow control, which operates on a per-packet basis, lacks flexibility, we propose a content-based fine-grained flow management method that enables control at the level of individual content segments within packets. In addition, we introduce an out-of-path transparent add-on architecture to address the limitations of conventional transparent add-ons, which assume the presence of processing resources on the main path. The proposed system implements one approach for selective content masking and two approaches for out-of-path anonymization. Furthermore, we develop a mechanism for dynamically rewriting Ack and Seq numbers to preserve TCP session integrity. The proposed approaches were implemented and evaluated on Mininet, and the results demonstrate that effective flow management can be achieved with minimal impact on network delay while maintaining network transparency.

Problem

• Enables content-based fine-grained flow management for packet processing
• Introduces out-of-path transparent add-ons to overcome resource limitations
• Maintains TCP session integrity while preserving network transparency

Innovation

• Content-based fine-grained flow management method
• Out-of-path transparent add-on architecture
• Dynamic TCP session integrity preservation mechanism