DMCA
Scaling Microblogging Services with Divergent Traffic Demands
Cached
Download Links
| Citations: | 3 - 1 self |
BibTeX
@MISC{Xu_scalingmicroblogging,
author = {Tianyin Xu and Yang Chen and Lei Jiao and Ben Y. Zhao and Pan Hui and Xiaoming Fu},
title = {Scaling Microblogging Services with Divergent Traffic Demands},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract. 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. 1
Keyphrases
divergent traffic demand microblogging service reliable message delivery reliable message bandwidth cost popular celebrity cuckoo prototype 50-60 cpu load reduction internet service failure centralized approach medium outlet initial design complementary mechanism usage model user demand sms-based social network steadily-growing user population new microblogging system 30-50 server bandwidth saving trace-driven emulation present cuckoo traditional centralized client-server architecture twitter user significant impairment server base 20-day twitter availability measurement
