International Journal of Advanced Culture Technology

  • 제6권4호
  • /
  • Pages.226-232
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  • 2018
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  • 2288-7202(pISSN)
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  • 2288-7318(eISSN)
국제문화기술진흥원 (The International Promotion Agency of Culture Technology)
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A Novel Architecture for Mobile Crowd and Cloud computing for Health care

  • 투고 : 2018.12.05
  • 심사 : 2018.12.10
  • 발행 : 2018.12.31
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초록

The rapid pace of growth in internet usage and rich mobile applications and with the advantage of incredible usage of internet enabled mobile devices the Green Mobile Crowd Computing will be the suitable area to research combining with cloud services architecture. Our proposed Framework will deploy the eHealth among various health care sectors and pave a way to create a Green Mobile Application to provide a better and secured way to access the Products/ Information/ Knowledge, eHealth services, experts / doctors globally. This green mobile crowd computing and cloud architecture for healthcare information systems are expected to lower costs, improve efficiency and reduce error by also providing better consumer care and service with great transparency to the patient universally in the field of medical health information technology. Here we introduced novel architecture to use of cloud services with crowd sourcing.

키워드

E1GMBY_2018_v6n4_226_f0001.png 이미지

Figure.1 Crowd Computing Application Characteristics

E1GMBY_2018_v6n4_226_f0002.png 이미지

Figure: 2 Crowd and Mobile Cloud Architecture for Health Care.

Table 1. Application class with collective intelligence

E1GMBY_2018_v6n4_226_t0001.png 이미지

Table. 2 Crowd Computing Application Characteristics

E1GMBY_2018_v6n4_226_t0002.png 이미지

참고문헌

  1. K. Zheng, M. Li, and H. Jiang (Eds.), '"Honeybee: A Programming Framework for Mobile Crowd ComputingMOBIQUITOUS", 2013, LNICST 120, pp. 224-236, 2013.
  2. Sharmila Rathod, Shabnam Noorani, "Review of Mobile Crowd Computing", International Journal of Innovative Research in Computer and Communication Engineering, April 2016
  3. Ivan Stojmenovic, "Keynote 1: Mobile Cloud and Green Computing", Procedia Computer Science, 2012
  4. M. Somasundaram, S.Gitanjali, T.C.Govardhani, G. Lakshmi Priya and R. Sivakumar, "Medical Image Data Management System in Mobile Cloud Computing Environment", IPCSIT, 2011
  5. Griebel et al., "A Scoping review of cloud computing in health care", BMC Medical nformatics and Decision Making, 2015
  6. Derek G. Murray, Eiko Yoneki Jon, Crowcroft Steven Hand, "The Case for Crowd Computing", MobiHeld 2010
  7. ChengYe,JosephCoco,AnnaEpishova,ChenHajaj,HenryBogardus,LaurieNovak,JoshuaDenny,Yevgeniy Vorobeychik,ThomasLasko,BradleyMalin,DanielFabbri, "A Crowdsourcing Framework for Medical Data Sets", Vanderbilt University, Nashville, TN,US
  8. Imdat As, Maria Angelico, "CROWDSOURCING ARCHITECTURE: A DISRUPTIVE MODEL IN ARCHITECTURAL PRACTICE", University of Hartfor
  9. Kerri Wazny, "Applications of crowdsourcing in health: an overview", global journal of health
  10. Braden Kelley, "The Crowd Computing Revolution", bradenkelley@live.com