The packer filter: an efficient mechanism for user-level network code
SOSP '87 Proceedings of the eleventh ACM Symposium on Operating systems principles
Feeding frenzy: selectively materializing users' event feeds
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
The little engine(s) that could: scaling online social networks
Proceedings of the ACM SIGCOMM 2010 conference
Cache refreshing for online social news feeds
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Supporting distributed feed-following apps over edge devices
Proceedings of the VLDB Endowment
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Social feeds are used in many popular Web applications. They let users produce events, as well as read feeds containing the events generated by their friends. This paper investigates the design of an in-memory platform to manage social feeds. We show that straightforward memcache implementations suffer from a low throughput due to bandwidth bottlenecks. Following these observations, we propose Sheep, a system to support applications based on social feeds that leverages data aggregation and co-location to alleviate these bottlenecks. We show experimentally that Sheep outperforms memcache implementations by a factor of 7.