An Optimized Model for Files Storage Service in Cloud Environments

Haythem yahyaoui, Samir Moalla

Abstract

Cloud computing represents nowadays a revolution in the distributed systems domain because of its several services. One of the most used services in Cloud environments is file storage, which consist on uploading files to the Cloud’s data center and using them at anytime from anywhere. Due to the highest number of Cloud customers we risk to have a bad management of cloud’s data center such as losing space by files redundancy which can be provided by uploading one file for several times by only one customer or the same file by many customers. Such a problem is very frequent when we have a big number of customers. Many studies have been done in this order, researchers propose many solutions and each one has its advantages and disadvantages. In order to save space and minimize costs we propose an optimized model which consists on deleting file redundancy before the duplication step in the data centers. Experimentally, during the evaluation phase, our model will be compared with the some existing methods.

References

  1. Xu, G. L. Z. G. and Shi, K. (2013). Expander code: A scalable erasure-resilient code to keep up with data growth in distributed storage. IEEE 32nd International performance computing and communications conference.
  2. Khanafer, A. M. and Puttaswamy, K.P.N. (2013). The constrained Ski-Rental problem and its application to online cloud cost optimization. IEEE INFOCOM.
  3. Mansouri, Y. A.N. and Buyya, R. (2013). Brokering Algorithms for Optimizing the Availability and Cost of Cloud Storage Services. IEEE 5th International Conference on Cloud Computing Technology and Science.
  4. Bo, M. S. and Hong, J. (2015). Improving Storage Availability in Cloud-of-Clouds with Hybrid Redundant Data Distribution. IEEE International Parallel and Distributed Processing Symposium.
  5. Unuvar, M. S. Y.N. M.G. and Tantawi, A.N. (2015). Selecting Optimum Cloud Availability Zones by Learning User Satisfaction Levels. IEEE Transactions on Services Computing.
  6. Feng, Q. H. G. and Meng, D. (2012). Magicube: High Reliability and Low Redundancy Storage Architecture for Cloud Computing. IEEE 7th International Conference on Networking, Architecture and Storage.
  7. Kulkarni, P. F. J. and Tracey, J. M. (2004). Redundancy Elimination Within Large Collections of Files. Annual Technical Conference.
  8. Ramgovind, S. M.M. and Smith, E. (2010). The management of security in Cloud computing. Information Security for South Africa.
Download


Paper Citation


in Harvard Style

yahyaoui H. and Moalla S. (2016). An Optimized Model for Files Storage Service in Cloud Environments . In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-182-3, pages 155-159. DOI: 10.5220/0005800701550159


in Bibtex Style

@conference{closer16,
author={Haythem yahyaoui and Samir Moalla},
title={An Optimized Model for Files Storage Service in Cloud Environments},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2016},
pages={155-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005800701550159},
isbn={978-989-758-182-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - An Optimized Model for Files Storage Service in Cloud Environments
SN - 978-989-758-182-3
AU - yahyaoui H.
AU - Moalla S.
PY - 2016
SP - 155
EP - 159
DO - 10.5220/0005800701550159