OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Data

TL;DR

OrbitChain is a novel in-orbit multi-satellite framework that enables real-time Earth observation data analytics, significantly reducing latency and increasing workload capacity compared to existing methods.

Contribution

It introduces a pipelined, orchestrated in-orbit analytics system that improves real-time processing and resource utilization for Earth observation satellites.

Findings

Delivers analytics results in minutes

Supports 60% more workload than existing frameworks

Reduces inter-satellite communication by 45%

Abstract

Earth observation analytics have the potential to transform many sectors. However, due to limited ground connections, it currently takes hours to days to download and analyze Earth observation data, diminishing the value of data for time-sensitive applications like disaster monitoring or search-and-rescue. To enable real-time analytics, we propose OrbitChain, an in-orbit multi-satellite Earth analytics framework. OrbitChain uses a pipelined design to decompose workflows into analytics functions, and orchestrates constellation-wide resources to finish real-time analytics tasks. It provides timely insights to Earth sensing applications and enables advanced workflows like in-orbit tip-and-cue. Hardware-in-the-loop experiments show that OrbitChain can deliver analytics results in minutes, supports up to 60% more analytics workload than existing frameworks, and reduces inter-satellite communication overhead by up to 45%.