Cluster Computing

, Volume 22, Supplement 6, pp 13143–13157 | Cite as

Design and implementation of an efficient multi cloud storage approach for resource constrained mobile devices

  • Rajeev Kumar BediEmail author
  • Jaswinder Singh
  • Sunil Kumar Gupta


In todays scenario of Big Data, to reduce data management and maintenance cost, many companies and users starts shifting their data to cloud. To store or access data from remote storage (cloud storage) by using a desktop device as PC is not a problem but as the demand of smart mobile devices is increases day by day as compared to desktop devices if user want to store or retrieve data from cloud storage using these mobile devices, it will consume a lot of resources of mobile device. Which is the main issue as mobile devices have limited resources as battery, CPU, memory, etc. To deal with the free limited storage issue, a lot of multi cloud storage systems are available but none of them is capable to save resources of mobile devices as battery, CPU and data (Internet) usage. So there is a need of an efficient multi cloud storage approach that will consume fewer resources of mobile devices. In this paper, we are proposing design and implementation of an efficient multi cloud storage approach for resource constrained mobile devices that will consume fewer resources of mobile devices and give better results in terms of battery consumption, CPU usage and data usage.


Cloud storage Multi cloud storage Mobile devices Data usage Battery consumption CPU usage 


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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Rajeev Kumar Bedi
    • 1
    Email author
  • Jaswinder Singh
    • 1
  • Sunil Kumar Gupta
    • 2
  1. 1.Department of Computer EngineeringPunjabi UniversityPatialaIndia
  2. 2.Department of Computer Science and EngineeringBCETGurdaspurIndia

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