Abstract
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.
Highlights
Cloud is a technology that represents networks and networking and computing is another technology that represents computer-related resources, applications and services
Risks related to the use of cloud are cumulative according to the type of service to which they relate: Infrastructure as a Service (IaaS) presents a series of risks which are specific and are related to the management infrastructure; Platform as a Service (PaaS) show the same risks with, in addition, those that are specific to this type and which are related to the management system software; the Software as a Service (SaaS) model has, in the specific risks related to data management and applications which not always suitable for business use
As a summary for detailed analysis of the related work, we have identified a set of characteristics as risk modeling namely: are: Type of Service (TS): denotes the type of cloud services which are IaaS, PaaS and SaaS
Summary
Cloud is a technology that represents networks and networking and computing is another technology that represents computer-related resources, applications and services. The combination of these two technologies is the concept of “Cloud computing” [1]. On the other hand, when the service provider try to describe the cloud service in a standard format, unpredictable future factors, like hacking leading to data breach or to data loss, are responsible for incomplete information, the need for uncertainty handling in cloud service discovery and composition.
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