Query processing nodes are core part of web search engines which process user queries, these units devour a notable amount of power, which is mostly liable to their cpu’s to ensure lower levels of latency (ruling out heat factor).Where mainstream users are likely to look for split-second reaction times. In any circumstance, clients can scarcely see reaction times that are quicker than their expectation. Hence, we use pesos algorithm to assign the most relatable processor clock-rate to course the query on per core basis using the inputs from YDS algorithm which calculates the query process volume, then processing the input query to the cost-based query optimizer (gporca) which replaces the stock reverse index of a query processing node with sub-query unnesting method, which uses the dvfs to regulate the wattage by increasing the efficiency. Thus reducing the factors affecting cpu’s longivety.