"Design of a Performance Measurement Framework for Cloud Computing"
written by Luis Bautista, Alain Abran, Alain April,
published by Journal of Software Engineering and Applications, Vol.5 No.2, 2012
has been cited by the following article(s):
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[17] Performance Problem Diagnosis in Cloud Infrastructures
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[18] CloudMeasure: A Platform for Performance Analysis of Cloud Computing Systems
[19] Dynamic Scalable Stochastic Petri Net: A Novel Model for Designing and Analysis of Resource Scheduling in Cloud Computing
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[20] Time taken to write data in parallel on Lustre follows extreme statistics
[21] A parallel workload has extreme varibility
[22] Measurement-Based Identification of Infrastructures for Trustworthy Cyber-Physical Systems
[23] A lightweight performance measurement framework for a Virtual Machine on cloud
[24] Identifying most relevant performance measures for root cause analysis of performance degradation events on a private cloud computing application: Experiment in an industry environment
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[25] Associating performance measures with perceived end user performance: ISO 25023 compliant low level derived measures
[26] Framework for Testing Cloud Base Applications
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[27] Associating Performance Measures with Perceived End User Performance
[28] Last-und Performancetest des Open Data Services
[29] A New Performance Assessment Modeling and Development of a Performance Assessment System for a Cloud Service
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[31] New Scheduling Models for Cloud Computing Systems: Analysis, Algorithms and Applications
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[32] Do We Need Specific Quality Models for Multi-Agent Systems
[33] Do we need specific quality models for multi-agent systems? Toward using the ISO/IEC 25010 quality model for MAS
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[34] Harnessing cloud computing infrastructure for e-learning services
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[35] Performance analysis model for big data applications in cloud computing
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[36] LP based Adaptive Resource Management Framework in Cloud Environment
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[37] A performance measurement model for cloud computing applications
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[38] An Analytical Model for Dynamic Resource Allocation Framework in Cloud Environment
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[39] DIPAR: A Framework for Implementing Big Data Science in Organizations
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[40] Performance Testing of Cloud Storage while Using Spatial Data
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[41] Performance measurement for cloud computing applications using ISO 25010 standard characteristics
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[42] Effects of Cooperative E-Learning on Learning Outcomes
[43] Development of a Quality Model for Comparing Mobile Cloud Computing Systems
[44] Spatial Cloud Computing and Performance Evaluation of Cloud Storage Providers
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[45] A Performance Evaluation of Public Cloud Using TPC-C
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[46] A Methodology for Identifying the Relationships Between Performance Factors for Cloud Computing Applications
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[47] 建構行動雲端運算服務品質模型之探討
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[48] Dynamic scheduling for cloud reliability using transportation problem
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[49] Performance Tests of Energy Data Storage using different Distributed Parallel File Systems
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