SoMed: scaling decentralised microblogging services with a hybrid DHT framework
by Jinzhou Huang; Hai Jin
International Journal of Web and Grid Services (IJWGS), Vol. 11, No. 2, 2015

Abstract: Today's microblogging services such as Twitter have experienced unparalleled growth. The microblogging services have served more as news media outlets than online social networks. We use them to participate in some big events, as exemplified by predicting the H1N1 virus emergency, detecting earthquakes, and living World Cup Games. However, these kinds of burst events will cause peak access. It is unsurprising that servers will suffer from large amount of concurrent access and lead to significant impairment of availability. Furthermore, it will lead to asymmetric workloads, because of the divergent behaviours of users, social users and media users. Some media users or celebrities (e.g. Lady Gaga accounts for over 20 million followers) will generate a huge amount of traffic and lead to tremendous workloads. In this paper, we are in consideration of these problems together, and present SoMed, a hybrid DHT framework towards decentralised microblogging services. We evaluate SoMed by conducting simulations with real traces of Twitter. An experimental analysis illustrates significantly bandwidth saving and response time reducing with high QoS.

Online publication date: Sun, 19-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web and Grid Services (IJWGS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com