A novel approach for cloud service composition ensuring global QoS constraints optimization
Rashda Khanam, Rakesh Ranjan Kumar, Binita Kumari · 2018
The continuous rise of the customers expectations for service-oriented computing model has made the current scenario more dynamic and challenging. As a result of market changes, such as fluctuations in demands, creates massive application services for the end user over the internet. Although, we have number of cloud services, provided by many cloud service providers, but the biggest challenge arises when individual services have to be combined in order to fulfil complex service requirement of end users. Moreover, day to day increase in cloud service providers also leads to increase in number of concrete services for each individual application that has to be solved which results in the creation of huge datasets. Therefore, our objective has become to find an optimal cloud service composition that satisfies all QoS (Quality of Service) constraints, considering the scenario when the dataset is large. This paper introduces a hybrid approach (PSO-ABC) which resolves demerits of others optimization algorithm when it comes to solves cloud service composition problem for large datasets. This algorithm never stagnates, fall on local optimum. In addition to this it converges fast and proved to be efficient for the cloud service composition problem.