Systematic Review on Recommendation Systems to select Trustworthy Cloud Services and ensure Data Integrity

With unprecedented growth and popularity of cloud computing in due course of time, there has been a constant urge and continuous demand for cloud service providers to deliver cloud services. When it comes to opting for a cloud service, several crucial factors like availability, reliability, performance, scalability, etc., are taken into consideration. Yet, identifying the service that best meets the consumer requirements is still a challenge. Recommendations and feedbacks facilitate the users in making appropriate decisions in selection for the correct type of service. In recent times, various approaches like content-based filtering models, collaborative filtering, fuzzy logic-based models, k-means clustering technique have been used by different authors to predict cloud services. This paper presents a comparative study of different methods adopted to suggest suitable cloud services to cloud consumers. This work aims to unfold the strengths, limitations, handle issues and analyze the solutions proposed by the authors in making suitable recommendations for cloud service.