Paper Info
Title
Measurement, Modeling, and Analysis of a Large-scale Blog Sever Workload
Abstract
Despite the growing popularity of Online Social Networks (OSNs), the workload characteristics of OSN servers, such as those hosting blog services, are not well understood. Understanding workload characteristics is important for optimizing and improving the performance of current systems and software based on observed trends. Thus, in this paper, we characterize the system workload of the largest blog hosting servers in South Korea, Tistory. In addition to understanding the system workload of the blog hosting server, we have developed synthesized workloads and obtained the following major findings: (i) the transfer size of non-multimedia files and blog articles can be modeled by a truncated Pareto distribution and a log-normal distribution respectively, and (ii) users' accesses to blog articles do not show temporal locality, but they are strongly biased toward those posted along with images or audio.
Year
DOI
Venue
2010
10.1109/SocialCom.2010.88
SocialCom/PASSAT
Keywords
Field
DocType
normal distribution,south korea,large-scale blog sever workload,software metrics,pareto distribution,tistory,blog services,blog articles,log-normal distribution,blog hosting servers,online social networks,social networking (online),system workload,nonmultimedia files,bandwidth,histograms,information services,log normal distribution,web server
Information system,Data mining,World Wide Web,Locality of reference,Workload,Computer science,Popularity,Server,Software,Software metric,Database,Web server
Conference
ISBN
Citations 
PageRank 
978-0-7695-4211-9
0
0.34
References 
Authors
9
6
Name
Order
Citations
PageRank
Myeongjae Jeon117410.39
Jeaho Hwang2414.32
Youngjae Kim359061.25
Jae-Wan Jang4584.36
Joonwon Lee5143890.35
Euiseong Seo635424.20