Optimal Big Data Sharing Approach for Tele-Health in Cloud Computing

Longfei Qiu, Keke Gai, Meikang Qiu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

94 Citations (Scopus)

Abstract

The rapid development of tele-health systems have received driving engagements from various emerging techniques, such as big data and cloud computing. Sharing data among multiple tele-health systems is an adaptive approach for improving service quality via the network-based technologies. However, current implementations of data sharing in cloud computing is still facing the restrictions caused by the networking capacities and virtual machine switches. In this paper, we focus on the problem of data sharing obstacles in cloud computing and propose an approach that uses dynamic programming to produce optimal solutions to data sharing mechanisms. The proposed approach is called Optimal Telehealth Data Sharing Model (OTDSM), which considers transmission probabilities, maximizing network capacities, and timing constraints. Our experimental results have proved the flexibility and adoptability of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Smart Cloud, SmartCloud 2016
EditorsMeikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages184-189
Number of pages6
ISBN (Electronic)9781509052622
DOIs
Publication statusPublished - 22 Dec 2016
Externally publishedYes
Event2016 IEEE International Conference on Smart Cloud, SmartCloud 2016 - New York, United States
Duration: 18 Nov 201620 Nov 2016

Publication series

NameProceedings - 2016 IEEE International Conference on Smart Cloud, SmartCloud 2016

Conference

Conference2016 IEEE International Conference on Smart Cloud, SmartCloud 2016
Country/TerritoryUnited States
CityNew York
Period18/11/1620/11/16

Keywords

  • Tele-health
  • big data
  • cloud computing
  • data sharing

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