Smart clouds allow every consumer and cloud service provider a two-way communication, thus enabling cloud service provider to generate a time dependent pricing model using a feedback loop. This model charges a consumer more in peak periods and less during off peak periods, which encourages consumers to reschedule their workload to less traffic (off-peak) periods. This helps service providers to practice a versatile pricing technique to increase their profits by covering off-peak demand and minimizing the provider’s cost optimization problem. It also minimizes the execution time in setting these prices by Compromised Cost-Time Based (CCTB) scheduling. Shifting workload is a probabilistic function which tells consumers to shift their workload. This paper presents a model to calculate day-ahead prices. The proposed model dynamically adjusts the rewards or discounts based on consumer behavior in the past, and helps providers to maximize their revenue by shifting the consumers’ workload.