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Publications by Type: Conference and Workshop Publications

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Scaling Microblogging Services with Divergent Traffic Demands
Zitatschlüssel XCJZHX-SMSDTD-11
Autor Xu, Tianyin and Chen, Yang and Jiao, Lei and Zhao, Ben Y. and Hui, Pan and Fu, Xiaoming
Buchtitel Proceedings of ACM/IFIP/USENIX 12th International Middleware Conference (Middleware '11)
Jahr 2011
ISSN 0302-9743
Online ISSN 1611-3349
Ort Lisboa, Portugal
Adresse Berlin / Heidelberg, Germany
Monat December
Verlag Springer
Serie Lecture Notes in Computer Science (LNCS)
Organisation ACM / IFIP / USENIX
Zusammenfassung Today's microblogging services such as Twitter have long outgrown their initial designs as SMS-based social networks. Instead, a massive and steadily-growing user population of more than 100 million is using Twitter for everything from capturing the mood of the country to detecting earthquakes and Internet service failures. It is unsurprising that the traditional centralized client-server architecture has not scaled with user demands, leading to server overload and significant impairment of availability. In this paper, we argue that the divergence in usage models of microblogging services can be best addressed using complementary mechanisms, one that provides reliable messages between friends, and another that delivers events from popular celebrities and media outlets to their thousands or even millions of followers. We present Cuckoo, a new microblogging system that offloads processing and bandwidth costs away from a small centralized server base while ensuring reliable message delivery. We use a 20-day Twitter availability measurement to guide our design, and trace-driven emulation of 30,000 Twitter users to evaluate our Cuckoo prototype. Compared to the centralized approach, Cuckoo achieves 30-50\% server bandwidth savings and 50-60\% CPU load reduction, while guaranteeing reliable message delivery.
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