Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.5121/ijccsa.2014.4601 | ieee international conference on cloud computing technology and science |
DocType | Volume | Issue |
Journal | 4 | 6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nouha Khédiri | 1 | 0 | 0.68 |
| Montaceur Zaghdoud | 2 | 37 | 4.64 |