Junctiond: Kernel-Bypass Networking for FaaS Runtimes
Junctiond improves FaaS performance with kernel-bypass networking.
Edge Caching Based on Deep Reinforcement Learning and Transfer Learning: A Comprehensive Study
Optimierung von Edge-Caching durch Deep Reinforcement Learning und Transfer Learning.
Efficient Access Point Assignment in SDN-Controlled Wireless Networks
Efficient access point assignment in SDN-controlled wireless networks is crucial for optimizing network utilization and minimizing handover times.
Yodel: A Name-Based Multicast Network Architecture for the Future Internet
Yodel introduces a name-based multicast network architecture to address the challenges of multi-domain networking in the current and future Internet applications.
Efficient Multi-modal Content Caching in Dynamic Networks
Efficiently caching multi-modal content in dynamic networks is crucial for reducing latency and improving user experience.
A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN
Resource management in Joint Communication and Computing-Embedded SAGIN is crucial for optimizing performance and efficiency.
Relational Network Verification: A New Approach to Validating Network Changes
Relational network verification offers a new approach to validating network changes by analyzing similarities and differences between two network snapshots.
Non-Convex Potential Games for Sensor Network Localization
Formulating non-convex potential games for sensor network localization to identify global solutions efficiently.
Performance Analysis of In-Band-Full-Duplex Multi-Cell Wideband IAB Networks
Analyzing the performance of multi-cell wideband IAB networks using stochastic geometry.
Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network
Q-adaptive routing improves system throughput and reduces packet latency in Dragonfly networks through multi-agent reinforcement learning.
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