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The uncertain cloud: State of the art and research challenges

Authors :
Haithem Mezni
Allel Hadjali
Sabeur Aridhi
Université de Jendouba (UJ)
Computational Algorithms for Protein Structures and Interactions (CAPSID)
Inria Nancy - Grand Est
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS)
Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
ENSMA
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.

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⟩