Abstract
In recent years, the rapid proliferation of enormous sources of digital data and the development of Cloud Computing have led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. The scope, number, and complexity of data-intensive services are all set to soar in the future. Therefore, to meet complicated requirements, multiple data-intensive services are assembled in a service composition. The data-intensive service composition presents a new set of different requirements and characteristics, which makes the composition more and more challenging. Issues of autonomy, scalability, adaptability, and robustess, become difficult to resolve. In this paper, we present a literary study of data-intensive service composition problem. Firstly, we present the problem statement. Secondly, we present the QoS sensitive attributes towards the data size growth. After that, we study the different existing approaches, in literature, to solve the data-intensive services composition problem and we propose a comparative study.