Brokered pricing model for agent-based negotiation of data-driven services in the cloud
Gökay Burak Akkuş, Erdem Ucar · New Trends in Mathematical Science · 2021
Since the introduction of cloud computing, integration on the web became a reality.Site-to-site integrations and "Software as a service" approach have been widely accepted as industry standards.The true potential of such a distributed infrastructure is realized when these services are combined together and executed as parts of a singular workflow.The collective composition of web services requires adaptive and dynamic systems where all parties may be subject to unexpected changes.Intelligent systems are needed that are able to make use of services as building blocks that meet user requirements with specific functional and non-functional attributes.The most favorable service is then to be selected from a set of discovered candidates.The goal is to provide computing services to users on demand and charge them based on their usage and Quality of Service (QoS) expectations.In cloud environments, in the presence of multiple services meeting the requirements, the price becomes the main discrimination point.In this paper, we present a general framework that includes the proposal for a brokered pricing protocol for agent-based negotiations and a pricing model study for data driven web services domain hosted on a cloud environment.