CLOUD-METRIC: A Cost Effective Application Development Framework for Cloud Infrastructures

Classic application development model primarily focuses on two key objectives: scalable system architecture and best possible performance. However, This model of application development works well on the private resources, but with the growing amount of public IaaS it is essential to find a balance between the cost and the performance of an application. In this thesis, we have proposed CLOUD-METRIC: A Cost Effective Application Development for Cloud Infrastructures. The framework allows users to estimate the cost of running applications on public cloud infrastructures during the development phase. We will consider two major cloud services providers, Amazon AWS and Google Cloud Platform. The provided estimates can be very useful to make improvements in the users' application architecture. In addition to cost estimation, the framework allows users to monitor resources utilized by their applications. Finally, we will provide users with recommendation of instances on AWS and GCP based on resources utilized by the applications over a period of time