Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org
"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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[1] An Experimental Performance Evaluation of Cloud-API-Based Applications
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[2] A Method for Comparative Performance Analysis of Communication Applications in Cloud and On-premise Environments
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[3] PTVis: Visual Narrative and Auxiliary Decision to Assist in Comprehending the Penetration Testing Process
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[4] Stochastic Modeling and Performance Analysis of Energy-Aware Cloud Data Center Based on Dynamic Scalable Stochastic Petri Net
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[5] Data Modeling and Performance Analysis Approach of Big Data
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[6] Cloud Computing Architecture for eLearning Systems in Secondary Schools in Tanzania
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[7] Towards a Quality Evaluation Framework for Cloud-Based Applications
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[8] Framework for Observing the Maintenance Needs, Runtime Metrics and the Overall Quality-in-Use
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[9] Role of testing parameters in cloud service performance testing framework
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[10] A Three-Dimensional Performance Measurement Model for Cloud Computing
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[11] Design and implementation of a framework to automate the inclusion of patterns in existing architectures
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[12] Modeling end user performance perspective for cloud computing systems using data center logs from big data technology
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[13] On the use of ISO/IEC standards to address data quality aspects in big data analytics cloud services
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[14] NoSQL and Cloud Paradigm: Characteristics and Classification, Data Storage Technology, and Algorithms
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[15] Survey of performance modeling of big data applications
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[16] Realization of Optimized Clustering Algorithm on RHadoop
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[17] Cloud Computing and Firm Performance Measurement, According to Contingency Theory: Case Study
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[18] Research Article Published online on Mar 20, 2016
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[19] Identifying most relevant performance measures for root cause analysis of performance degradation events on a private cloud computing application: Experiment in an …
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[20] Dynamic Scalable Stochastic Petri Net
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[21] Trustworthy cyber-physical systems engineering
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[22] A City Parking Integration System Combined with Cloud Computing Technologies and Smart Mobile Devices
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[23] Performance Problem Diagnosis in Cloud Infrastructures
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[24] CloudMeasure: A Platform for Performance Analysis of Cloud Computing Systems
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[25] Dynamic Scalable Stochastic Petri Net: A Novel Model for Designing and Analysis of Resource Scheduling in Cloud Computing
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[26] Time taken to write data in parallel on Lustre follows extreme statistics
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[27] A parallel workload has extreme varibility
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[28] Measurement-Based Identification of Infrastructures for Trustworthy Cyber-Physical Systems
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[29] A lightweight performance measurement framework for a Virtual Machine on cloud
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[30] 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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[31] Associating performance measures with perceived end user performance: ISO 25023 compliant low level derived measures
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[32] Framework for Testing Cloud Base Applications
Bahria University Journal of Information & Communication Technology, 2015
[33] Associating Performance Measures with Perceived End User Performance
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[34] Last-und Performancetest des Open Data Services
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[35] A New Performance Assessment Modeling and Development of a Performance Assessment System for a Cloud Service
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[36] TOWARD CLOUD COMPUTING: SECURITY AND PERFORMANCE
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[37] New Scheduling Models for Cloud Computing Systems: Analysis, Algorithms and Applications
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[38] Do We Need Specific Quality Models for Multi-Agent Systems
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[39] Do we need specific quality models for multi-agent systems? Toward using the ISO/IEC 25010 quality model for MAS
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[40] Harnessing cloud computing infrastructure for e-learning services
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[41] Performance analysis model for big data applications in cloud computing
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[42] LP based Adaptive Resource Management Framework in Cloud Environment
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[43] A performance measurement model for cloud computing applications
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[44] An Analytical Model for Dynamic Resource Allocation Framework in Cloud Environment
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[45] DIPAR: A Framework for Implementing Big Data Science in Organizations
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[46] Performance Testing of Cloud Storage while Using Spatial Data
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[47] Performance measurement for cloud computing applications using ISO 25010 standard characteristics
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[48] Effects of Cooperative E-Learning on Learning Outcomes
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[49] Development of a Quality Model for Comparing Mobile Cloud Computing Systems
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[50] Spatial Cloud Computing and Performance Evaluation of Cloud Storage Providers
M Lnenicka, J Komarkova, E Milkova - naun.org, 2013
[51] A Performance Evaluation of Public Cloud Using TPC-C
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[52] A Methodology for Identifying the Relationships Between Performance Factors for Cloud Computing Applications
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[53] 建構行動雲端運算服務品質模型之探討
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[54] Dynamic scheduling for cloud reliability using transportation problem
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[55] Performance Tests of Energy Data Storage using different Distributed Parallel File Systems
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