Abstract
Cloud computing plays a vital role in distributed systems used by Internet users. It provides a flexible environment in which data, equipment and services can be shared among end users in order to save time and cost. Cloud service composition is still one of the most important issues related to this paradigm. Indeed, Dynamic Cloud Service Composition (DCSC) is the process of combining a chain of connected atomic Cloud services together in order to create a more complex and value-added composite service. In this work, we present a new method of cloud service composition guided by QoS of services (execution time and cost) and network QoS (data transfer cost and latency). The latency is estimated by the Euclidean distance calculated based on the coordinates of Cloud services that are based on a network coordinate system called GNP (Global Network Positioning). The proposed solution is based on the paradigm of agents where autonomous entities cooperate together to generate an optimal composition within a reasonable time. Experimental results confirm the modesty of our approach.