Cloud Resource Utilization and Energy Consumption Optimization
Shrestha, Shradha (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025053018499
https://urn.fi/URN:NBN:fi:amk-2025053018499
Tiivistelmä
The project illustrates the design, deployment, and testing of a cloud monitoring and optimization framework for cloud resource optimization and performance to achieve enhanced energy efficiency as well as operating cost reduction. The system will be able to monitor the consumption of cloud resource usage currently in place and propose optimization recommendations against observed measurements. The overall objectives of the project were to provide timely accuracy in visibility of resource use, facilitate energy conscious decision making, and facilitate greener patterns of usage for the cloud.
The development cycle was adhered to in a disciplined manner, relying on Prometheus for metrics collection, Grafana for visualization, and Apache JMeter for load testing against varied loads. The system was deployed and tested on three environments making it flexible and robust. Extensive testing allowed the framework to be improved, resulting in a highly responsive and robust solution.
Overall, the system developed goes quite a long way towards energy-efficient cloud resource management, offering practical value to organizations that want to optimize resource use, minimize wastage of energy, and enhance sustainable cloud computing practices.
The development cycle was adhered to in a disciplined manner, relying on Prometheus for metrics collection, Grafana for visualization, and Apache JMeter for load testing against varied loads. The system was deployed and tested on three environments making it flexible and robust. Extensive testing allowed the framework to be improved, resulting in a highly responsive and robust solution.
Overall, the system developed goes quite a long way towards energy-efficient cloud resource management, offering practical value to organizations that want to optimize resource use, minimize wastage of energy, and enhance sustainable cloud computing practices.