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FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Median Absolute Deviation
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Towards an architecture for deploying elastic services in the cloud
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Autonomic resource contention‐aware scheduling
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Dynamic reconfiguration of cloud application architectures
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Resource provisioning in Science Clouds: Requirements and challenges
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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
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Fuzzy Analytic Hierarchy Process and its Application
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Convex Cost Functions for Support Vector Regression
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CSA-WSC: cuckoo search algorithm for web service composition in cloud environments
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An autonomic approach for resource provisioning of cloud services
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Automatic provisioning of multi-tier applications in cloud computing environments
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ATSDS: adaptive two-stage deadline-constrained workflow scheduling considering run-time circumstances in cloud computing environments
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A benefit-aware on-demand provisioning approach for multi-tier applications in cloud computing
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Integrating peer-to-peer and cloud computing for massively multiuser online games
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Fuzzy hierarchical analysis
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Applications of the extent analysis method on fuzzy AHP
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On the use of the normalized mean square error in evaluating dispersion model performance
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The implementation factors that influence the ERP (enterprise resource planning) benefits
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Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology
inferredcites →https://doi.org/10.1016/j.future.2010.10.016openalex-snapshot
Adaptive resource provisioning for read intensive multi-tier applications in the cloud
inferredcites →https://doi.org/10.1016/j.future.2012.05.018openalex-snapshot
Enabling cost-aware and adaptive elasticity of multi-tier cloud applications
inferredcites →https://doi.org/10.1016/j.future.2014.02.018openalex-snapshot
A resource elasticity framework for QoS-aware execution of cloud applications
inferredcites →https://doi.org/10.1016/j.future.2017.02.022openalex-snapshot
An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach
inferredcites →https://doi.org/10.1016/j.jnca.2015.06.020openalex-snapshot
Performance modeling and analysis of virtualized multi-tier applications under dynamic workloads
inferredcites →https://doi.org/10.1016/j.jnca.2017.01.016openalex-snapshot
Survey on prediction models of applications for resources provisioning in cloud
inferredcites →https://doi.org/10.1016/j.jss.2017.05.017openalex-snapshot
Taxonomy of workflow partitioning problems and methods in distributed environments
inferredcites →https://doi.org/10.1016/j.neucom.2013.01.058openalex-snapshot
A fast and robust model selection algorithm for multi-input multi-output support vector machine
inferredcites →https://doi.org/10.1016/j.simpat.2018.07.006openalex-snapshot
Energy-aware scheduling algorithm for time-constrained workflow tasks in DVFS-enabled cloud environment
inferredcites →https://doi.org/10.1080/10170660409509433openalex-snapshot
KEY QUALITY PERFORMANCE EVALUATION USING FUZZY AHP
inferredcites →https://doi.org/10.1080/17517575.2013.830342openalex-snapshot
SLA-based optimisation of virtualised resource for multi-tier web applications in cloud data centres
inferredcites →https://doi.org/10.1093/comjnl/bxt107openalex-snapshot
Performance Modelling and Simulation of Three-Tier Applications in Cloud and Multi-Cloud Environments
inferredcites →https://doi.org/10.1109/72.788640openalex-snapshot
An overview of statistical learning theory
inferredcites →https://doi.org/10.1109/ccece.2013.6567848openalex-snapshot
Predicting cloud resource provisioning using machine learning techniques
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On the Use of Machine Learning to Predict the Time and Resources Consumed by Applications
inferredcites →https://doi.org/10.1109/cloudcom.2014.147openalex-snapshot
Automatic Resource Provisioning: A Machine Learning Based Proactive Approach
inferredcites →https://doi.org/10.1109/mc.2003.1160055openalex-snapshot
The vision of autonomic computing
inferredcites →https://doi.org/10.1109/mci.2009.932254openalex-snapshot
Time Series Prediction Using Support Vector Machines: A Survey
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Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
inferredcites →https://doi.org/10.1109/sose.2013.40openalex-snapshot
Cloud Client Prediction Models for Cloud Resource Provisioning in a Multitier Web Application Environment
inferredcites →https://doi.org/10.1109/surv.2014.010814.00060openalex-snapshot
A Survey of Resource Management in Multi-Tier Web Applications
inferredcites →https://doi.org/10.1145/1342171.1342172openalex-snapshot
Agile dynamic provisioning of multi-tier Internet applications
inferredcites →https://doi.org/10.1145/1380584.1380585openalex-snapshot
A survey of autonomic computing—degrees, models, and applications
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LIBSVM
inferredcites →https://doi.org/10.1145/1998582.1998604openalex-snapshot
Automated control for elastic n-tier workloads based on empirical modeling
inferredcites →https://doi.org/10.1145/2381876.2381880openalex-snapshot
Dynamic resource provisioning for cloud-based gaming infrastructures
inferredcites →https://doi.org/10.1145/2593929.2593940openalex-snapshot
Autonomic resource provisioning for cloud-based software
inferredcites →https://doi.org/10.1145/2662112openalex-snapshot
Multi-Cloud Provisioning and Load Distribution for Three-Tier Applications
inferredcites →https://doi.org/10.1145/3148149openalex-snapshot
Auto-Scaling Web Applications in Clouds
inferredcites →https://doi.org/10.1155/2014/321231openalex-snapshot
Efficient Resources Provisioning Based on Load Forecasting in Cloud

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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