MegaCacheX: Towards Cost-Effective Hierarchical Collaborative Content Caching in Emerging Mega-Constellations
Haoyang Shi, Xing Zhang, Sitong Li, Minghang Li, Xinming Lu, Shaoxiang Xu, Guoquan Wang

TL;DR
MegaCacheX introduces a hierarchical, cost-effective satellite-based content caching framework that significantly reduces latency in global content delivery by optimizing collaborative caching across space and ground nodes.
Contribution
It presents a novel hierarchical caching framework that integrates content popularity, regional demand, and satellite trajectories for efficient space-based content distribution.
Findings
Reduces global content access latency by ~36%.
Achieves cost efficiency in satellite content caching.
Demonstrates effectiveness on a containerized microservices testbed.
Abstract
Significant latency in global content delivery primarily arises from insufficient terrestrial infrastructure. Deploying space-based content delivery networks within emerging mega-constellations provides an effective means to bridge the digital divide. However, space-based caching faces constraints from physical-layer dynamics, including dynamic topologies, time-varying inter-satellite link conditions, and limited onboard energy. In addition, existing mechanisms often lack fine-grained content categorization and global optimization. This paper proposes MegaCacheX, a cost-effective hierarchical framework for collaborative content distribution that achieves "Earth-independence" by providing cloud services directly from space. Specifically, data centers in Sun-synchronous orbit act as primary content sources, while caching nodes in mega-constellations and ground stations collaboratively…
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Taxonomy
TopicsCaching and Content Delivery · Recommender Systems and Techniques · Peer-to-Peer Network Technologies
