<scp>Spache</scp> : Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching
In this paper, we perform a systematic study to explore a pivotal problem facing the web community: is current distributed web cache ready for future satellite Internet? First, through a worldwide performance measurement based on the RIPE Atlas platform and Starlink, the largest low-earth orbit (LEO) satellite network (LSN) today, we identify that the uneven deployment of current distributed cache servers, inter-ISP meandering routes and the last-mile congestion on LEO links jointly prevent existing terrestrial web cache from providing low-latency web access for users in emerging LSNs. Second, we propose Spache, a novel web caching system which addresses the limitations of existing ground-only cache by exploiting a bold idea: integrating web cache into LEO satellites to achieve ubiquitous and low-latency web services. Specifically, Spache leverages a key feature of LSNs called communication schedule to efficiently prefetch web contents on satellites, and adopts a schedule-driven partitioning strategy to avoid cache pollution involved by LEO mobility. Finally, we implement a prototype of Spache, and evaluate it based on real-world HTTP traces and data-driven LSN simulation. Extensive evaluations demonstrate that as compared to existing distributed caching solutions, Spache can improve cache hit ratio by 19.8% on average, reduce latency by up to 17.7%, and maintains consistently low web browsing latency for global LSN users.
Authors
- Hewu Li (ORCID: https://orcid.org/0000-0002-6331-6542)
- Qian Wu (ORCID: https://orcid.org/0000-0002-5487-055X)
- Zeqi Lai (ORCID: https://orcid.org/0000-0001-6356-2738)
- Jihao Li (ORCID: https://orcid.org/0009-0008-2738-985X)
- Jun Liu (ORCID: https://orcid.org/0000-0003-1533-9704)
- Qi Zhang (ORCID: https://orcid.org/0009-0008-3148-6003)
- Yuanjie Li (ORCID: https://orcid.org/0000-0001-5931-3894)
- Yangyang Liu (ORCID: https://orcid.org/0000-0002-8581-2045)
Institutions
- Tsinghua University (CN)
Publication Details
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1145/3696410.3714789
- Primary Topic
- Caching and Content Delivery
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China