Abstract
In order to perform resource analyses, we here offer an experimental stand on virtual machines. The concept of how to measure the resources of each component is proposed. In the case of system design, you can estimate how many resources to reserve, and if external modules are installed in an existing system, you can assess whether there are enough resources and whether the system can scale. This is especially important for large software systems with web services. The dataset contains a set of experimental data and the configuration of virtual servers of the experiment in order to conduct resource analyses of the logs.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
2 articles.
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