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~ similar to 2607.07133· 20 results

cs.LGcs.NIEmpiricalRecentJun 28, 2026

Deciphering Region-Level Signatures from Latency Measurements in LEO Satellite Internet

Xiang Shi, Yifei Zhang, Peng Hu

This paper proposes a hierarchical analytical framework to characterize region-level latency differences in Low-Earth orbit satellite Internet using Starlink RTT measurements.

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cs.DCcs.CRRecentMay 1, 2026

OrbitBFT: Enabling Scalable and Robust BFT Consensus in LEO Constellations

Tianyi Sun, Shuo Liu, Minghui Xu, Xiuzhen Cheng

OrbitBFT introduces a novel two-stage hierarchical BFT consensus protocol that enables scalable and robust Byzantine Fault-Tolerant coordination for large-scale Low Earth Orbit satellite constellation…

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cs.CRRecentJun 3, 2026

CLIF: Cross-layer LEO-ISL Fingerprinting for Physical and Network Attack Detection in Dense LEO Constellations

Varun Kohli, Arijit Bhattacharjee, Samar Shailendra, Biplab Sikdar

The paper proposes a cross-layer behavioral fingerprinting framework that fuses physical and network data to detect comprehensive attacks in dense LEO satellite constellations, achieving high detectio…

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cs.LGcs.DCEmpiricalRecentJul 24, 2026

SLA-Constrained Carbon-Aware Routing in Geo-Distributed Serverless Clouds

Anmol Chaudhary, Rahul Mishra

This paper proposes a carbon-aware routing policy for geo-distributed cloud deployments, achieving up to 46.8% carbon reduction while maintaining zero SLA violations.

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cs.NIEmpiricalRecentJul 24, 2026

CAPS: Fine-Tuning CCA Timing

Raphael Zailer, Isaac Keslassy

This paper proposes CAPS, a scheduling layer for data centers that separates rate computation and packet scheduling, reducing queue occupancy by up to 10x without throughput loss.

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cs.CRcs.AIRecentApr 8, 2026

Validated Intent Compilation for Constrained Routing in LEO Mega-Constellations

Yuanhang Li

The paper presents an end-to-end system that translates high-level operator intents into low-level, safe routing constraints for LEO mega-constellations, achieving high accuracy and safety guarantees.

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cs.DCcs.AIEmpiricalRecentJul 15, 2026

The Cost and Network Limits of Space-Based AI Compute

Kees van Berkel

This paper evaluates the feasibility and cost-effectiveness of large-scale AI data centers in low-Earth orbit (LEO) versus terrestrial facilities, considering factors like launch cost, power generatio…

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cs.NIcs.DCEmpiricalRecentJun 12, 2026

Selective Field Transmission: Bandwidth Efficient Communication under Standardized Message Schemas

David Philipp Klüner, David Murach, Stefan Kowalewski, Alexandru Kampmann

This paper introduces Selective Field Transmission (SFT), a mechanism that dynamically adapts transmitted message components to each receiver's needs in publish-subscribe systems, achieving significan…

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cs.NIEmpiricalRecentJul 20, 2026

Quality over Quantity: Value-Driven Distributed Congestion Control for the Collective Perception Service

Tengfei Lyu, Florian A. Schiegg, Md Noor-A-Rahim, Dirk Pesch +1 more

This paper proposes a value-based DCC method for Intelligent Transport Systems to maintain channel load while retaining more high-value objects.

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cs.NIEmpiricalRecentJul 24, 2026

Fewer Paths, Better Performance: Understanding the ZCube Topology through Braess's Paradox

Li Chen

The ZCube topology, which eliminates path multiplicity and reduces switching hardware, delivers better performance for large model training and inference than traditional multipath datacenter networks…

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cs.CRcs.ETRecentMay 7, 2026

Toward Space-Based Public Key Systems: Enabling Secure Space Communications through In-Orbit Trust Services

Rehana Yasmin, Paulo Esteves-Verissimo, Ali Shoker

This paper proposes and analyzes architectural designs for space-based Public Key Infrastructure (PKI) to enable secure, low-latency authentication and trust services for rapidly expanding satellite c…

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cs.NIeess.SYEmpiricalRecentJul 24, 2026

Location-Aware NAS Timer Optimization in NTN-TN Integrated Networks

Cheng Liu, Peng Hu

This paper proposes a UE-specific NAS timer optimization method for LEO NTN-TN integrated networks, reducing registration latency, energy consumption, and avoidable attempts.

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cs.LGcs.AREmpiricalRecentJul 22, 2026

AlphaRoute: Large Language Models as Semantic Optimizers for Multi-Objective Routing

Kabir Murjani, Mishri Bhavsar, Manish I. Patel, Jonti Talukdar

This paper presents AlphaRoute, a multi-objective adaptive search framework for VLSI global routing using Large Language Models as semantic policy optimizers.

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