Cost optimization in cloud environment based on task deadline

Abstract The popularity of cloud and fog services has raised the number users exponentially. Main advantage Cloud/fog infrastructure are crucial specially for commercial from diverse areas. variety service requests with different deadlines makes task a broker challenging. always lookfor suitable compromise between cost quality in terms response time therefore, optimization is vital cloud/fog providers to capture market. In this paper an algorithm, Cost Optimization environment based on Task Deadline (COTD) proposed that optimizes without compromising time. algorithm deadline considered as constraint appropriate data center processing selected. runtime decision making due its low complexity. evluated using well-known simulation tool Cloud Analyst. Our comprehensive testbed simulations show COTD outperforms existing schemes, Service Proximity Based Routing Performance-Optimized Routing. successfully minimizes by 35% average while maintaining