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The uncertain cloud: State of the art and research challenges
- Source :
- International Journal of Approximate Reasoning, International Journal of Approximate Reasoning, 2018, 103, pp.139-151. ⟨10.1016/j.ijar.2018.09.009⟩, International Journal of Approximate Reasoning, Elsevier, 2018, 103, pp.139-151. ⟨10.1016/j.ijar.2018.09.009⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; During the last decade, cloud computing became a natural choice to host and provide various computing resources as on-demand services. The correct characterization and management of cloud environment objects (clouds, data centers, providers, services, data, users, etc.) is the first step towards effective provisioning and integration of cloud services. However, cloud computing environment is often subject to uncertainty. This could be attributed to the incompleteness and imprecision of cloud available information, as well as the highly changing conditions. The purpose of this survey is to study, criticize and classify the already existing works that deal with uncertainty in the cloud. We present a taxonomy on the uncertainty in the cloud and we study how such concept was tackled by researchers in cloud environments. Finally, we identify the challenges and the requirements to deal with uncertain data in the cloud, as well as the future directions.
- Subjects :
- Computer science
Data_MISCELLANEOUS
Cloud computing
02 engineering and technology
Theoretical Computer Science
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Artificial Intelligence
020204 information systems
Taxonomy (general)
0202 electrical engineering, electronic engineering, information engineering
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
Uncertain data
business.industry
Applied Mathematics
Uncertainty
Provisioning
Data science
Uncertain cloud services
Uncertainty models
020201 artificial intelligence & image processing
State (computer science)
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
[INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
business
Host (network)
Software
Subjects
Details
- Language :
- English
- ISSN :
- 0888613X
- Database :
- OpenAIRE
- Journal :
- International Journal of Approximate Reasoning, International Journal of Approximate Reasoning, 2018, 103, pp.139-151. ⟨10.1016/j.ijar.2018.09.009⟩, International Journal of Approximate Reasoning, Elsevier, 2018, 103, pp.139-151. ⟨10.1016/j.ijar.2018.09.009⟩
- Accession number :
- edsair.doi.dedup.....1930f91155821d959aaf6baef978fab0
- Full Text :
- https://doi.org/10.1016/j.ijar.2018.09.009⟩