The present research paper proposes Malaria Information Infrastructure Mapping in Maharashtra, India using Cloud Spatial Data Infrastructure (SDI) Model with a perspective on Climate Change. In m-cloud, geospatial health database has been developed for positive cases and that of number of deaths due to Malaria from 2001 to 2014 in Maharashtra, using Open Source GIS software; Quantum GIS and Map Window GIS. Transmission windows (TW) month for malaria was identified for all 35 districts in the state using climate data on temperature, rainfall and humidity. Overlay analysis was carried using the cloud model and different graphs generated. Mosquitoes are active between 20 degrees C and 34 degrees C window. However, peak transmission can extend up to 29 degrees C. Observations of climate data during the last 100 years, over India, show a rising trend in surface temperature by 0.3 degrees C. As a result, there is a growing concern about the possible resurgence of vector-borne diseases, such as malaria, over some parts of India. Regression analysis of simulated mean temperature based on CORDEX data for the period 2015-2050 over Maharashtra show an increasing trend over Maharashtra until 2050.