spacenetlab Goto Github PK

eurosat

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

hugo-theme-learn

Porting Grav Learn theme to Hugo

itu-rpy

A python implementation of the ITU-R P. Recommendations

megareduce

This repo is about MegaReduce

omnisensor

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satguard

skyfall

SKYFALL: dynamically identifies and exploits bottleneck links with a geo-distributed botnet to flood them.

spacenetlab.github.io

The website of SpaceNetLab

spacertc_project

User-perceived latency is important for the quality of experience (QoE) of wide-area real-time communications (RTC). This paper explores a futuristic yet important problem facing the RTC community: can we exploit emerging mega-constellations to facilitate low-latency RTC globally? We carry out our quest in three steps. First, through a measurement study associated with a large number of geo-distributed RTC users, we quantitatively expose that the meandering routes over the client-cloud segment and the inter-cloud-site segment in existing cloud-based RTC architecture are critical culprits for the high latency issue suffered by wide-area RTC sessions. Second, after analyzing the low-latency potential enabled by mega-constellations, we formulate the dynamic RTC latency minimization problem under the integrated space-ground environment, and propose SpaceRTC, a satellite-cloud cooperative framework that adaptively selects relay servers upon satellites and cloud sites to build an overlay network which enables diverse close-to-optimal paths, and then judiciously allocates RTC flows in the network to facilitate low-latency interactions. Finally, we implement a hardware-in-the-loop experimental environment based on public constellation information and RTC trace, and extensive experiments demonstrate that SpaceRTC can deliver near-optimal interactive latency, with up to 64.9% latency reduction as compared with other state-of-the-art cloud-based solutions under representative videoconferencing traffic.

starfront

starperf_simulator

``Newspace'' mega-constellations, such as StarLink and OneWeb are gaining tremendous popularity, with the promising potential to provide high-capacity and low-latency communication globally. However, very little is know about the architecture and performance of such emerging systems, the workload they have to face, as well as the impact of topological options on the attainable network performance.

starperf_simulator_duplication

``Newspace'' mega-constellations, such as StarLink and OneWeb are gaining tremendous popularity, with the promising potential to provide high-capacity and low-latency communication globally. However, very little is know about the architecture and performance of such emerging systems, the workload they have to face, as well as the impact of topologi

starrynet

A novel experimentation framework that enables researchers to conveniently build credible and flexible experimental network environments (ENE) mimicking satellite dynamics and network behaviors of large-scale ISTNs.

topologygenerator

A generator for constructing dynamic network topology. This generator can support routing or transport research on network topology with high mobility, such as satellite networks.