AI-BASED PLATFORM FOR APPLICATION ENERGY EFFICIENCY AND CARBON EMISSION OPTIMIZATION IN INFORMATION TECHNOLOGY ECOSYSTEM
卷宗概要
申请人
Cognizant Technology Solutions US Corp
发明人
Roman Nemet; Vernon Turner; John Borg Jacob
IPC 分类
CPC 分类
A system and method for optimizing energy efficiency and carbon emissions of software-based applications within information technology ecosystem is provided. First training data, second training data, third training data, fourth training data and input data are retrieved for training AI-based model to generate set of recommendations. Generated set of recommendations are processed by AI-based model by creating vector embeddings. Verified set of generated recommendations are compared against desired set of recommendations to obtain modified set of recommendations. Workload data, real-time monitoring data, benchmark data and set of emission data are fetched. Estimated carbon footprint data and estimated energy consumption data are generated based on modified set of recommendations, workload data, monitoring data, benchmark data and set of emission data. Output data is generated based on generated estimated carbon footprint data and estimated energy consumption data for validating technologies, hardware and cloud services relating to sustainability and energy consumption.
原文（中文）
A system and method for optimizing energy efficiency and carbon emissions of software-based applications within information technology ecosystem is provided. First training data, second training data, third training data, fourth training data and input data are retrieved for training AI-based model to generate set of recommendations. Generated set of recommendations are processed by AI-based model by creating vector embeddings. Verified set of generated recommendations are compared against desired set of recommendations to obtain modified set of recommendations. Workload data, real-time monitoring data, benchmark data and set of emission data are fetched. Estimated carbon footprint data and estimated energy consumption data are generated based on modified set of recommendations, workload data, monitoring data, benchmark data and set of emission data. Output data is generated based on generated estimated carbon footprint data and estimated energy consumption data for validating technologies, hardware and cloud services relating to sustainability and energy consumption.