Online Resource Scheduling under Concave Pricing for Cloud Computing

Online Resource Scheduling under Concave Pricing for Cloud Computing

Abstract— Online Resource Scheduling under Concave Pricing for Cloud Computing. With the booming cloud computing industry, computational resources are readily and elastically available to the customers. In order to attract customers with various demands, most Infrastructure-as-a-service < Final Year Projects 2016 > cloud service providers offer several pricing strategies such as pay as you go, pay less per unit when you use more (so called volume discount), and pay even less when you reserve. The diverse pricing schemes among different IaaS service providers or even in the same provider form a complex economic landscape that nurtures the market of cloud brokers. By strategically scheduling multiple customers’ resource requests, a cloud broker can fully take advantage of the discounts offered by cloud service providers.