In this paper, we propose a distributed scheduling algorithm, DALEOS, for small satellite clusters targeted to meet real-time constraints of data analysis tasks ...
Dec 5, 2024 · (1) DALEOS [21] : A distributed algorithm that uses heuristics to select a controller satellite for each monitoring task and a flooding ...
The results depict that through efficient utilization of the resources available, the overall latency in task execution can be significantly improved. Index ...
DALEOS: Distributed scheduling for earth observation Data Analytics in LEO Satellites. Swagata Biswas, Himadri Sekhar Paul. DALEOS: Distributed scheduling ...
Jun 1, 2020 · This paper focused on online scheduling of distributed Earth observation satellite system in a dynamic environment.
Missing: DALEOS: Analytics
DALEOS: Distributed scheduling for earth observation Data Analytics in LEO Satellites. Conference Paper. Mar 2024. Swagata Biswas · Himadri ...
Oct 21, 2024 · However, scheduling on LEO satellites moving at approx. 27,000 km/h requires picking the satellite with the lowest latency to all data sources ( ...
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Oct 7, 2024 · In this study, we model the EOS scheduling problem as a distributed constraint optimization problem (DCOP). This modeling enables the generation of timetables ...
Missing: DALEOS: | Show results with:DALEOS:
DALEOS: Distributed scheduling for earth observation Data Analytics in LEO Satellites · Swagata BiswasHimadri Sekhar Paul. Environmental Science, Engineering.
We propose a communication strategy to support a completely distributed learning technique to train a deep learning model in-orbit.
Missing: DALEOS: Analytics