Dynamic Edge Server Selection in Time-Varying Environments: A Reliability-Aware Predictive Approach
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866918200524931072 |
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| author | Burbano, Jaime Sebastian Abdullah, Arnova Zhantileuov, Eldiyar Liyanage, Mohan Schuster, Rolf |
| author_facet | Burbano, Jaime Sebastian Abdullah, Arnova Zhantileuov, Eldiyar Liyanage, Mohan Schuster, Rolf |
| contents | Latency-sensitive embedded applications increasingly rely on edge computing, yet dynamic network congestion in multi-server architectures challenges proper edge server selection. This paper proposes a lightweight server-selection method for edge applications that fuses latency prediction with adaptive reliability and hysteresis-based handover. Using passive measurements (arrival rate, utilization, payload size) and an exponentially modulated rational delay model, the proposed Moderate Handover (MO-HAN) method computes a score that balances predicted latency and reliability to ensure handovers occur only when the expected gain is meaningful and maintain reduced end-to-end latency. Results show that MO-HAN consistently outperforms static and fair-distribution baselines by lowering mean and tail latencies, while reducing handovers by nearly 50% compared to pure opportunistic selection. These gains arise without intrusive instrumentation or heavy learning infrastructure, making MO-HAN practical for resource-constrained embedded devices. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_10146 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamic Edge Server Selection in Time-Varying Environments: A Reliability-Aware Predictive Approach Burbano, Jaime Sebastian Abdullah, Arnova Zhantileuov, Eldiyar Liyanage, Mohan Schuster, Rolf Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Latency-sensitive embedded applications increasingly rely on edge computing, yet dynamic network congestion in multi-server architectures challenges proper edge server selection. This paper proposes a lightweight server-selection method for edge applications that fuses latency prediction with adaptive reliability and hysteresis-based handover. Using passive measurements (arrival rate, utilization, payload size) and an exponentially modulated rational delay model, the proposed Moderate Handover (MO-HAN) method computes a score that balances predicted latency and reliability to ensure handovers occur only when the expected gain is meaningful and maintain reduced end-to-end latency. Results show that MO-HAN consistently outperforms static and fair-distribution baselines by lowering mean and tail latencies, while reducing handovers by nearly 50% compared to pure opportunistic selection. These gains arise without intrusive instrumentation or heavy learning infrastructure, making MO-HAN practical for resource-constrained embedded devices. |
| title | Dynamic Edge Server Selection in Time-Varying Environments: A Reliability-Aware Predictive Approach |
| topic | Distributed, Parallel, and Cluster Computing Networking and Internet Architecture |
| url | https://arxiv.org/abs/2511.10146 |