HammingMesh: a network topology for large-scale deep learning
Abstract
Supplementary Material
- Download
- 260.82 MB
References
Recommendations
Flow splitting for end-to-end proportional QoS in OBS networks
In this paper, we propose probabilistic splitting of a packet stream at the edge routers as the basic method to provide end-to-end proportional QoS to packet flows carried through an OBS network, in terms of loss probability. We argue that the only ...
Best-effort versus reservations revisited
IWQoS'05: Proceedings of the 13th international conference on Quality of ServiceIn this paper, we walk in the footsteps of the stimulating paper by Lee Breslau and Scott Shenker entitled “Best-effort vs. Reservations: A Simple Comparative Analysis”[1]. In fact, we finally follow their invitation to use their models as a starting ...
Near-optimal responsive traffic engineering in software defined networks based on deep learning
AbstractThe routing problem for traffic engineering can be solved using different techniques. For example, the problem can be formulated as a linear program (LP) or a mixed-integer linear program (MILP) that requires solving a complex ...
Highlights- MLP and LSTM neural networks can learn traffic splitting and achieve near-optimal routing.
Comments
Information & Contributors
Information
Published In
- Conference Chairs:
- Felix Wolf,
- Sameer Shende,
- General Chair:
- Candace Culhane,
- Program Chairs:
- Sadaf Alam,
- Heike Jagode
Sponsors
In-Cooperation
- IEEE CS
Publisher
IEEE Press
Publication History
Check for updates
Badges
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 476Total Downloads
- Downloads (Last 12 months)235
- Downloads (Last 6 weeks)18
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in