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Scaling Microblogging Services with Divergent Traffic Demands

Summary: Scaling Microblogging Services with Divergent
Traffic Demands
Tianyin Xu, Yang Chen, Lei Jiao, Ben Y. Zhao
, Pan Hui
, and Xiaoming Fu
University of Goettingen
U.C. Santa Barbara
Deutsche Telekom Laboratories
Abstract. Today's microblogging services such as Twitter have long out-
grown their initial designs as SMS-based social networks. Instead, a massive
and steadily-growing user population of more than 100 million is using Twit-
ter for everything from capturing the mood of the country to detecting earth-
quakes and Internet service failures. It is unsurprising that the traditional
centralized client-server architecture has not scaled with user demands, lead-
ing 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


Source: Almeroth, Kevin C. - Department of Computer Science, University of California at Santa Barbara


Collections: Computer Technologies and Information Sciences