Workflow have been utilized to characterize a various form of applications concerning high processing and storage space demands. As a clarification to provide this stipulation, the cloud computing pattern has appeared as an on demand resources supplier. So, to make the cloud computing environment more eco-friendly, our research project was aiming in reducing E-waste accumulated by computers. As public clouds incriminate users in a per-use source, private clouds are possessed by users and can be

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... employed with no charge. When public and private clouds are combined, we have what we term a hybrid cloud. In a hybrid cloud, the user has flexibility offered by public cloud resources that can be combined to the private resources pool as required. Our previous work described the process of combining the low range and mid range processors with the high end processor to make the IT environment without e-waste. Then we focused on the allocation of resources in an optimal manner with respect to bandwidth and processors' ability. One question featured by the users in such systems is: Which are the finest resources to demand from a public cloud supported on the present demand and on resources overheads? In this paper we deal with this problem, presenting CHPS: Compatibility of Hybrid processor scheduler in green IT cloud computing environment. CHPS decides which resources should be chartered from the public cloud and combined to the private cloud to offer adequate processing power to perform a workflow inside a specified execution time. We present widespread experimental and simulation results which illustrate that CHPS can decrease costs as attaining the recognized preferred execution time.