Environmental Impact Study on Carbon Footprint Emission and Development of Software Architectural Framework to Measure the Level of Emission in Cloud Services

Abstract

Demand of data storage and processing of datasets in cloud computing consumes a huge volume of power and energy. Exhaustive usage of power and energy by the cloud service providers globally increases carbon footprint which is an environmental concern. Latest research results on carbon emission indicate a warning sign for environmental sustainability. Data centers, their resources and the digital waste created in the cloud environment have created a major impact on the environment. Taking this as an alarm sign on a global perspective, we rigorously worked on to develop “green software” in order to minimize the carbon waste from the environment. The design of this software focuses on to measure energy consumption and the carbon footprint level. This green software shall motivate the cloud services to uphold the concern on carbon emission and to take immediate attention to predict the waste of CPU power. This green software design framework provides a separate track session on energy consumption by the data center and cloud service provider along with the acquired energy efficiency level by the specific center. The software architecture insights are the working elements to analyze the level of emission, time period of the effect and the impact assessment of the carbon footprint. We propose an energy-efficient and cost-effective solution to minimize carbon emission and its impact on the environment.