An Online Matching Model for Self-Adjusting ToR-to-ToR Networks
Chen Avin, Chen Griner, Iosif Salem, Stefan Schmid
TL;DR
This paper introduces a formal matching model to analyze self-adjusting ToR-to-ToR networks, providing a theoretical foundation for understanding their dynamic behavior and optimization.
Contribution
It presents the first formal matching model specifically designed for self-adjusting ToR-to-ToR network analysis.
Findings
Provides a theoretical framework for self-adjusting networks
Lays groundwork for future optimization algorithms
Enhances understanding of network dynamics
Abstract
This is a short note that formally presents the matching model for the theoretical study of self-adjusting networks as initially proposed in [1].
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOpportunistic and Delay-Tolerant Networks · Mobile Ad Hoc Networks · Energy Harvesting in Wireless Networks