Abstract Cloud computing permits users to request on demand fundamentally unrestricted quantity of computing power. But the computing power is billed as pay per use basis based on the use of computing units called Virtual Machines (VMs). Many real time applications like drug discovery, protein folding, data analysis, climate modelling and energy research etc need more computational power in cloud. Hence these applications ingest huge volume of energy which will result in more price. So in this work, an effective scheduling algorithm that takes into account both energy and price are considered called PPS(Price-proficient Scheduling Algorithm).This algorithm is proficiently implemented to allocate VMs to all the tasks involved in solving large complex applications. CloudSim Toolkit framework is used for this proposed work and it is justified that the demonstrated results provide substantial decrease in financial price and energy during execution of complex as well as simple tasks.