Resilient and Reliable Cloud Network Control for Mission-Critical Latency-Sensitive Service Chains
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arXiv
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| Format: | Preprint |
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2025
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| author | Huang, Chin-Wei Llorca, Jaime Tulino, Antonia M. Molisch, Andreas F. |
| author_facet | Huang, Chin-Wei Llorca, Jaime Tulino, Antonia M. Molisch, Andreas F. |
| contents | The proliferation of mission-critical latency-sensitive services has intensified the demand for next-generation cloud-integrated networks to guarantee both reliable and resilient service delivery. While reliability imposes timely-throughput requirements, i.e., percentage of packets to be delivered within a prescribed per-packet deadline, resilience relates to the network's ability to swiftly recover timely-throughput performance following an outage event, such as node or link failures. While recent studies have increasingly focused on designing reliable network control policies, a comprehensive solution that combines reliable and resilient network control has yet to be fully explored. This paper formulates the multi-commodity least-cost resilient and reliable network control (MC-LC-ResRNC) problem as a stochastic control problem with long and short-term timely throughput constraints. We then present a solution through the Multi-Commodity Resilient and Reliable Cloud Network Control (MC-ResRCNC) algorithm and show through numerical experiments that it jointly ensures reliability under normal conditions and resilience upon network failure. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_21960 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Resilient and Reliable Cloud Network Control for Mission-Critical Latency-Sensitive Service Chains Huang, Chin-Wei Llorca, Jaime Tulino, Antonia M. Molisch, Andreas F. Networking and Internet Architecture The proliferation of mission-critical latency-sensitive services has intensified the demand for next-generation cloud-integrated networks to guarantee both reliable and resilient service delivery. While reliability imposes timely-throughput requirements, i.e., percentage of packets to be delivered within a prescribed per-packet deadline, resilience relates to the network's ability to swiftly recover timely-throughput performance following an outage event, such as node or link failures. While recent studies have increasingly focused on designing reliable network control policies, a comprehensive solution that combines reliable and resilient network control has yet to be fully explored. This paper formulates the multi-commodity least-cost resilient and reliable network control (MC-LC-ResRNC) problem as a stochastic control problem with long and short-term timely throughput constraints. We then present a solution through the Multi-Commodity Resilient and Reliable Cloud Network Control (MC-ResRCNC) algorithm and show through numerical experiments that it jointly ensures reliability under normal conditions and resilience upon network failure. |
| title | Resilient and Reliable Cloud Network Control for Mission-Critical Latency-Sensitive Service Chains |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2511.21960 |