Cited By
View all- Iosup AZhu XMerchant AKalyvianaki EMaggio MSpinner SAbdelzaher TMengshoel OBouchenak S(2017)Self-awareness of Cloud ApplicationsSelf-Aware Computing Systems10.1007/978-3-319-47474-8_20(575-610)Online publication date: 24-Jan-2017
Towards a workload model for online social applications: ICPE 2013 work-in-progress paper
Pages 319 - 322
Abstract
Popular online social applications hosted by social platforms serve, each, millions of interconnected users. Understanding the workloads of these applications is key in improving the management of their performance and costs. In this work, we analyse traces gathered over a period of thirty-one months for hundreds of Facebook applications. We characterize the popularity of applications, which describes how applications attract users, and the evolution pattern, which describes how the number of users changes over the lifetime of an application. We further model both application popularity and evolution, and validate our model statistically, by fitting five probability distributions to empirical data for each of the model variables. Among the results, we find that most applications reach their maximum number of users within a third of their lifetime, and that the lognormal distribution provides the best fit for the popularity distribution.
Supplementary Material
This archive contains: - an Excel file with MAU for FarmVille as reported by appdata.com and developeranalytics.com - python scripts used to parse the html files crawled from appdata.com and developeranalytics.com DISCLAIMER: The full traces will appear in the Game Trace Archive ( url: http://gta.st.ewi.tudelft.nl/, reference: http://www.dblp.org/search/index.php#query=game trace archive )
- Download
- 98.25 KB
References
[1]
M. Arlitt and C. Williamson. Web server workload characterization: The search for invariants. In ACM SIGMETRICS, volume 24, pages 126--137, 1996.
[2]
Y. Borghol, S. Mitra, S. Ardon, N. Carlsson, D. Eager, and A. Mahanti. Characterizing and modelling popularity of user-generated videos. Performance Evaluation, 68(11):1037--1055, 2011.
[3]
L. Cherkasova, Y. Fu, W. Tang, and A. Vahdat. Measuring and characterizing end-to-end internet service performance. ACM TOIT, 3(4):347--391, 2003.
[4]
A. Iyengar, M. Squillante, and L. Zhang. Analysis and characterization of large-scale web server access patterns and performance. WWW, 2(1):85--100, 1999.
[5]
B. Kirman, S. Lawson, and C. Linehan. Gaming on and off the social graph: The social structure of facebook games. In CSE, pages 627--632, 2009.
[6]
A. Nazir, S. Raza, D. Gupta, C. Chuah, and B. Krishnamurthy. Network level footprints of facebook applications. In IMC, pages 63--75, 2009.
[7]
A. C. Olteanu, A. Iosup, and N. Ţãpuş. Towards a workload model for online social applications: Extended report. Tech.Rep. PDS-2013-003, TU Delft, January 2013. http://www.pds.ewi.tudelft.nl/fileadmin/pds/reports/2013/PDS-2013-003.pdf.
[8]
M. Suznjevic and M. Matijasevic. Player behavior and traffic characterization for mmorpgs: a survey. Multimedia Systems, pages 1--22, 2012.
[9]
B. Zhang, A. Iosup, J. Pouwelse, and D. Epema. Identifying, analyzing, and modeling flashcrowds in bittorrent. In P2P, pages 240--249, 2011.
[10]
B. Zhang, A. Iosup, J. Pouwelse, D. Epema, and H. Sips. Sampling bias in bittorrent measurements. Euro-Par, pages 484--496, 2010.
Index Terms
- Towards a workload model for online social applications: ICPE 2013 work-in-progress paper
Recommendations
Power-efficient distributed scheduling of virtual machines using workload-aware consolidation techniques
There is growing demand on datacenters to serve more clients with reasonable response times, demanding more hardware resources, and higher energy consumption. Energy-aware datacenters have thus been amongst the forerunners to deploy virtualization ...
Online Bonding and Bridging Social Capital via Social Networking Sites
This research aimed to explore types of online social capital bridging and bonding that the Emiratis perceive in the context of social networking site SNS usage. A snow-ball sample of 230 Emiratis from two Emirates, Abu Dhabi and Dubai was used. The ...
Towards Privacy-Preserving Content Sharing for Online Social Networks
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable ComputersThis paper presents presents an approach to preserve privacy for content sharing in online social networks. The approach is based on the concept of friendship strengths and social ties within a friendship circle. Friends can be categorized into ...
Comments
Information & Contributors
Information
Published In
April 2013
446 pages
ISBN:9781450316361
DOI:10.1145/2479871
- Editor:
- Seetharami Seelam,
- General Chairs:
- Petr Tůma,
- Giuliano Casale,
- Program Chairs:
- Tony Field,
- José Nelson Amaral
Copyright © 2013 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 21 April 2013
Check for updates
Author Tags
Qualifiers
- Short-paper
Conference
ICPE'13
Sponsor:
ICPE'13: ACM/SPEC International Conference on Performance Engineering
April 21 - 24, 2013
Prague, Czech Republic
Acceptance Rates
ICPE '13 Paper Acceptance Rate 28 of 64 submissions, 44%;
Overall Acceptance Rate 252 of 851 submissions, 30%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 108Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 16 Oct 2024
Other Metrics
Citations
Cited By
View all- Iosup AZhu XMerchant AKalyvianaki EMaggio MSpinner SAbdelzaher TMengshoel OBouchenak S(2017)Self-awareness of Cloud ApplicationsSelf-Aware Computing Systems10.1007/978-3-319-47474-8_20(575-610)Online publication date: 24-Jan-2017
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in