Search VTechWorks



Advanced Search

Browse

My Account

Statistics

Watch Registration Video

Return to Skip Menu .

Main Content

Show simple item record

dc.contributor.advisor
dc.contributor.author Xie, Zhiwu
dc.contributor.author Liu, Jinyang
dc.contributor.author Van de Sompel, Herbert
dc.contributor.author van Reenen, Johann
dc.contributor.author Jordan, Ramiro
dc.date.accessioned 2012-05-04T19:34:09Z
dc.date.available 2012-05-04T19:34:09Z
dc.date.issued 2012-06
dc.identifier.citation Xie, Z., Liu, J., Van de Sompel, H., van Reenen, J., and Jordan, R. 2011. Poor Man's Social Network: Consistently Trade Freshness For Scalability. Proceedings of the 2012 USENIX conference on Web application development (Boston, MA, USA, 2012). en_US
dc.identifier.uri http://hdl.handle.net/10919/18668
dc.description.abstract Typical social networking functionalities such as feed following are known to be hard to scale. Different from the popular approach that sacrifices consistency for scalability, in this paper we describe, implement, and evaluate a method that can simultaneously achieve scalability and consistency in feed following applications built on shared-nothing distributed systems. Timing and client-side processing are the keys to this approach. Assuming global time is available at all the clients and servers, the distributed servers publish a pre-agreed upon schedule based on which the continuously committed updates are periodically released for read. This opens up opportunities for caching and client-side processing, and leads to scalability improvements. This approach trades freshness for scalability. Following this approach, we build a twitter-style feed following application and evaluate it on a following network with about 200,000 users under synthetic workloads. The resulting system exhibits linear scalability in our experi-ment. With 6 low-end cloud instances costing a total of no more than $1.2 per hour, we recorded a peak timeline query rate at about 10 million requests per day, under a fixed update rate of 1.6 million new tweets per day. The maximum staleness of the responses is 5 seconds. The performance achieved sufficiently verifies the feasibility of this approach, and provides an alternative to build small to medium size social networking applications on the cheap. en_US
dc.language.iso en_US en_US
dc.publisher USENIX Association en_US
dc.relation.hasversion https://www.usenix.org/conference/webapps12/poor-mans-social-network-consistently-trade-freshness-scalability
dc.subject consistency en_US
dc.subject scalability en_US
dc.subject social network en_US
dc.subject feed following en_US
dc.subject distributed systems en_US
dc.subject database en_US
dc.subject 1-copy serialization en_US
dc.subject eventual consistency en_US
dc.title Poor Man's Social Network: Consistently Trade Freshness For Scalability en_US
dc.type Article en_US

Files in this item


This item appears in the following Collection(s)

Show simple item record

.