CDynP adopts a logical chain structure for state inheritance and backtracking across data centers.
If a data center in the chain experiences performance degradation or network instability, could this have a cascading effect on the overall planning process?
Do the authors consider extending the framework to more robust topologies, such as tree-based or multi-path coordination schemes?
Thank you for this insightful question regarding the robustness of CDynPs chain-based structure. The logical chain in CDynP is designed for privacy-preserving state inheritance, where each data center (DC) sequentially processes compressed state summaries (SS) from its predecessor. While a performance degradation or network instability in one DC could theoretically cause delays, CDynP mitigates cascading effects through its decentralized design: each node performs local optimization independently based on received SS, minimizing direct dependencies. Our evaluations in Section V.B.2 demonstrate CDynPs resilience under degraded network conditions, as it incorporates inter-DC latency into cost models, allowing adaptive adjustments to partitioning. For instance, as shown in Figure 8, CDynP maintained the slowest increase in iteration time under varying bandwidth/delay levels, highlighting its ability to absorb disruptions without severe cascading impacts. Regarding topology extensions, we acknowledge that the linear chain may have limitations in highly volatile environments. In the future work section (VI), we plan to explore more robust schemes, such as tree-based or multi-path coordination, to enhance fault tolerance. This could involve dynamic re-routing or integrating emerging network architectures like ICN for hop-by-hop optimization, ensuring scalability and adaptability. Thus, while the current chain is practical for privacy-aware MAN scenarios, we are committed to evolving CDynP for greater resilience in heterogeneous deployments.
