Survey of Uncertainty Handling in Cloud Service Discovery and Composition
It addresses the problem of uncertainty in cloud service management for users and providers, but it is incremental as it reviews and categorizes existing literature.
The paper surveys existing approaches for handling uncertainty in cloud service discovery and composition, categorizing them based on risk modeling to address the challenge of minimizing risks like loss or damage to users and providers.
With the spread of services related to cloud environment, it is tiresome and time consuming for users to look for the appropriate service that meet with their needs. Therefore, finding a valid and reliable service is essential. However, in case a single cloud service cannot fulfil every user requirements, a composition of cloud services is needed. In addition, the need to treat uncertainty in cloud service discovery and composition induces a lot of concerns in order to minimize the risk. Risk includes some sort of either loss or damage which is possible to be received by a target (i.e., the environment, cloud providers or customers). In this paper, we will focus on the uncertainty application for cloud service discovery and composition. A set of existing approaches in literature are reviewed and categorized according to the risk modeling.