Cloud Service Composition using Firefly Optimization Algorithm and Fuzzy Logic

Cloud computing involves the dynamic provision of virtualized and scalable resources over Internet as services. Different types services with same functionality but different non-functionality features may be delivered in a cloud environment response to customer requests, which need combined satisfy customer's complex requirements. Recent research has focused on combining unique loosely-coupled into preferred system. An optimized composite service consists formerly existing single simple provide an optimal service, thereby improving quality (QoS). In recent years, driven rapid proliferation multi-provision compositions, providers can multiple simultaneously. Service composition fulfils variety user needs scenarios. The request (service request) multi-cloud requires atomic candidates) located clouds. combines from clouds service. Since are rapidly growing their Quality (QoS) is widely varying, finding necessary composing them assurances increasingly challenging technical task. This paper presents method that uses firefly optimization algorithm (FOA) fuzzy logic balance QoS factors constraints. Experimental results prove proposed outperforms previous ones terms time, availability, energy consumption.