Measurement, Modeling, and Analysis of a Large-scale Blog Sever Workload

Conference · Fri Jan 01 00:00:00 EST 2010

OSTI ID:986423

Jeon, Myeongjae ^[1]; Hwang, Jeaho ^[2]; Kim, Youngjae ^[3]; Jae-Wan, Jang ^[2]; Lee, Joonwon ^[4]; Seo, Euiseong ^[5]

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1. Rice University
2. KAIST, Daejeon, Republic of Korea
3. ORNL
4. SungKyunKwan University, Korea
5. UNIST

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 opti- mizing 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, Tistory1. 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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 986423
• Resource Relation: Conference: International Symposium on Social Computing Applications (SCA-10) in conjunction with IEEE International Conference on Social Computing (SocialCom-10), Minneapolis, MN, USA, 20100820, 20100822
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
DISTRIBUTION
PERFORMANCE
REPUBLIC OF KOREA
SIMULATION
COMPUTERS
Online Social Networks (OSNs)
Workload Characterization
Measurement
Modeling