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Performance Inference: A Novel Approach for Planning the Capacity of IaaS Cloud Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/ccgrid.2011.22openalex-snapshot
On the Performance Variability of Production Cloud Services
inferredcites →https://doi.org/10.1109/ccgrid.2013.74openalex-snapshot
Autoflex: Service Agnostic Auto-scaling Framework for IaaS Deployment Models
inferredcites →https://doi.org/10.1109/cloud.2012.98openalex-snapshot
Expertus: A Generator Approach to Automate Performance Testing in IaaS Clouds
inferredcites →https://doi.org/10.1109/cloud.2013.12openalex-snapshot
A Declarative Environment for Automatic Performance Evaluation in IaaS Clouds
inferredcites →https://doi.org/10.1109/cloudcom.2014.98openalex-snapshot
Cloud Work Bench -- Infrastructure-as-Code Based Cloud Benchmarking
inferredcites →https://doi.org/10.1109/ic2e.2013.33openalex-snapshot
CloudBench: Experiment Automation for Cloud Environments
inferredcites →https://doi.org/10.1109/mesoca.2012.6392599openalex-snapshot
CDOSim: Simulating cloud deployment options for software migration support
inferredcites →https://doi.org/10.1109/services.2013.55openalex-snapshot
CloudAdvisor: A Recommendation-as-a-Service Platform for Cloud Configuration and Pricing
inferredcites →https://doi.org/10.1109/tpds.2015.2398438openalex-snapshot
Cloud Performance Modeling with Benchmark Evaluation of Elastic Scaling Strategies
inferredcites →https://doi.org/10.1145/2695664.2695923openalex-snapshot
A multi-criteria approach for assessing cloud deployment options based on non-functional requirements
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.3825openalex-snapshot
Cloud Crawler: a declarative performance evaluation environment for infrastructure‐as‐a‐service clouds
inferred← citeshttps://doi.org/10.1002/spe.2956openalex-snapshot
Migrating production monolithic systems to microservices using aspect oriented programming
inferred← citeshttps://doi.org/10.1007/s11042-021-11009-5openalex-snapshot
Latency minimization model towards high efficiency edge-IoT service provisioning in horizontal edge federation
inferred← citeshttps://doi.org/10.1007/s11704-019-9117-xopenalex-snapshot
Proactive planning of bandwidth resource using simulation-based what-if predictions for Web services in the cloud
inferred← citeshttps://doi.org/10.1016/j.comcom.2021.03.002openalex-snapshot
Planning Fog networks for time-critical IoT requests
inferred← citeshttps://doi.org/10.1080/08874417.2019.1576022openalex-snapshot
Market Share Strategies for Cloud Computing Providers
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8257924openalex-snapshot
A decision tree based approach towards adaptive modeling of big data applications
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.12openalex-snapshot
An Approach and Case Study of Cloud Instance Type Selection for Multi-tier Web Applications
inferred← citeshttps://doi.org/10.1109/cloud.2016.0061openalex-snapshot
An Approach for Evaluating Cloud Application Topologies Based on TOSCA
inferred← citeshttps://doi.org/10.1109/ds-rt.2016.9openalex-snapshot
RA2: Predicting Simulation Execution Time for Cloud-Based Design Space Explorations
inferred← citeshttps://doi.org/10.1109/ic2e.2018.00038openalex-snapshot
Towards an Adaptive, Fully Automated Performance Modeling Methodology for Cloud Applications
inferred← citeshttps://doi.org/10.1109/icc.2017.7997387openalex-snapshot
QoS-oriented capacity planning for edge computing
inferred← citeshttps://doi.org/10.1109/icfc.2019.00029openalex-snapshot
Edge Capacity Planning for Real Time Compute-Intensive Applications
inferred← citeshttps://doi.org/10.4018/978-1-5225-2013-9.ch010openalex-snapshot
Cloud Database Systems
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