In-Orbit Processing or Not? Sunlight-Aware Task Scheduling for Energy-Efficient Space Edge Computing Networks
Weisen Liu, Zeqi Lai, Qian Wu, Hewu Li, Qi Zhang, Zonglun Li, Yuanjie, Li, Jun Liu

TL;DR
This paper introduces PHOENIX, a sunlight-aware task scheduling framework for space edge computing networks that significantly reduces energy consumption and extends battery life by leveraging sunlit satellite edges.
Contribution
The paper proposes a novel energy-efficient task scheduling framework, PHOENIX, that exploits sunlit satellite edges to optimize energy use in space edge computing networks.
Findings
PHOENIX reduces SEC battery energy consumption by up to 54.8%.
It prolongs battery lifetime by approximately 2.9 times.
The framework effectively completes tasks on time while saving energy.
Abstract
With the rapid evolution of space-borne capabilities, space edge computing (SEC) is becoming a new computation paradigm for future integrated space and terrestrial networks. Satellite edges adopt advanced on-board hardware, which not only enables new opportunities to perform complex intelligent tasks in orbit, but also involves new challenges due to the additional energy consumption in power-constrained space environment. In this paper, we present PHOENIX, an energy-efficient task scheduling framework for emerging SEC networks. PHOENIX exploits a key insight that in the SEC network, there always exist a number of sunlit edges which are illuminated during the entire orbital period and have sufficient energy supplement from the sun. PHOENIX accomplishes energy-efficient in-orbit computing by judiciously offloading space tasks to "sunlight-sufficient" edges or to the ground. Specifically,…
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Taxonomy
TopicsSatellite Communication Systems · Opportunistic and Delay-Tolerant Networks · Spacecraft Design and Technology
