Reference health
Workload Characterization
1 of 140 checkable references need attention · checked 2026-07-22
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
33 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.5555/1296150
The 139 checked references that resolve
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Analysis of topological characteristics of huge online social networking services
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Internet Web servers: workload characterization and performance implications
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Characterization of a Large Web Site Population with Implications for Content Delivery
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State-of-the-practice in data center virtualization: Toward a better understanding of VM usage
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A sensitivity study of the clustering approach to workload modeling
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The 10 million follower fallacy: audience size does not prove domain-influence on Twitter
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Delayed information cascades in Flickr: Measurement, analysis, and modeling
resolves10.1109/TNET.2008.2011358
Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems
resolves10.1145/1526709.1526806
A measurement-driven analysis of information propagation in the flickr social network
resolves10.1109/TMM.2013.2265531
Understanding the Characteristics of Internet Short Video Sharing: A YouTube-Based Measurement Study
resolves10.1109/TNET.2004.836125
Analysis of Enterprise Media Server Workloads: Access Patterns, Locality, Content Evolution, and Rates of Change
resolves10.1007/s11227-014-1131-z
Characterizing and modeling cloud applications/jobs on a Google data center
resolves10.1016/j.jpdc.2013.10.001
Google hostload prediction based on Bayesian model with optimized feature combination
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An investigation of web crawler behavior: characterization and metrics
resolves10.1016/j.pmcj.2013.03.006
Where and what: Using smartphones to predict next locations and applications in daily life
resolves10.1109/C-M.1972.216939
Workload charaterization and Selection in Computer Performance Measurement
resolves10.1007/978-3-642-31454-4_8
A Comparative Study of Users’ Microblogging Behavior on Sina Weibo and Twitter
resolves10.1016/j.simpat.2007.02.004
Statistical characterization of a real video on demand service: User behaviour and streaming-media workload analysis
resolves10.1109/IISWC.2007.4362193
Workload Analysis and Demand Prediction of Enterprise Data Center Applications
resolves10.1109/MASCOTS.2013.50
Revisiting Popularity Characterization and Modeling of User-Generated Videos
resolves10.1016/j.jvcir.2009.06.007
Understanding Internet Video sharing site workload: A view from data center design
resolves10.1109/MASCOTS.2007.45
On Strategies for Dynamic Resource Management in Virtualized Server Environments
resolves10.1016/j.cose.2009.05.004
Classification of web robots: An empirical study based on over one billion requests
resolves10.1145/2505515.2505529
On mining mobile apps usage behavior for predicting apps usage in smartphones
resolves10.1016/S0166-5316(02)00228-6
A hierarchical and multiscale approach to analyze E-business workloads
resolves10.1109/ISADS.2015.17
Workload Estimation for Improving Resource Management Decisions in the Cloud
resolves10.1145/2370216.2370243
Understanding and prediction of mobile application usage for smart phones
resolves10.1016/j.comnet.2011.07.016
Live streaming of user generated videos: Workload characterization and content delivery architectures
resolves10.1109/DCOSS.2013.59
A Picture of Instagram is Worth More Than a Thousand Words: Workload Characterization and Application
resolves10.1109/TCC.2014.2314661
Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud
resolves10.1137/080734315
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
resolves10.1016/j.ins.2014.03.123
System resource utilization analysis and prediction for cloud based applications under bursty workloads
resolves10.1109/TPDS.2014.2315204
BURSE: A Bursty and Self-Similar Workload Generator for Cloud Computing
resolves10.1016/j.comnet.2008.09.022
Characteristics of YouTube network traffic at a campus network – Measurements, models, and implications
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no DOI — not checkedD. G. Feitelson . 2015. Workload Modeling for Computer Systems Performance Evaluation . Cambridge University Press . D. G. Feitelson. 2015. Workload Modeling for Computer Systems Performance Evaluation. Cambridge University Press.
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