CloudGuide: Helping users estimate cloud deployment cost and performance for legacy web applications

Cloud Computing Technology and Science(2012)

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摘要
With cloud business growing, many companies are joining the market as cloud service providers. Most providers offer similar services with slightly different pricing models, and performance data remains scarce. This leaves cloud users with the puzzle of guessing what costs they will need to pay to run their legacy applications in a cloud environment. Cloud Guide is a tool suite that provides users with an estimated cost of running a legacy application on various cloud providers based on specific performance requirements. CloudGuide predicts the cloud computing resources required by a targeted application based on a queuing model and estimates the deployment cost for the application. CloudGuide allows users to explore cloud configurations that meet different performance requirements and cost constraints, and can be used to find new configuration when workload changes. The experiments presented in this study evaluated a multi-tiered network application and showed that CloudGuide can choose high-quality cloud configuration and can be used to assist system administrators with dynamic provisioning decisions.
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关键词
cloud service provider,cost constraints,legacy web application performance estimation,software cost estimation,cost estimation,multitiered network application,queuing model,high-quality cloud configuration,various cloud provider,performance prediction,dynamic provisioning decisions,cloud computing resource prediction,queueing theory,legacy application,software performance evaluation,cloud service providers,software maintenance,cloud users,targeted application,legacy web application,deployment cost estimation,performance data,cloud computing resource,cloud infrastructure as a service,multi-tiered network application,pricing models,cloud environment,cloud configuration,business data processing,cloudguide,cloud computing,performance requirements,system administrators,cloud deployment cost estimation,cloud business,pricing,cloud deployment cost,servers,computational modeling,throughput,benchmark testing
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