• DocumentCode
    3578623
  • Title

    Cloud government- a proposed solution to better serve the nation

  • Author

    Memon, Adeel Akbar ; Chengliang Wang ; Naeem, Muhammad Rashid ; Aamir, Muhammad ; Ayoob, Muhammad

  • Author_Institution
    Sch. of Software Eng., Chongqing Univ., Chongqing, China
  • fYear
    2014
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    The main responsibility and duty of government employees is to serve the nation. We have proposed a combination of cloud computing solution and data mining to the third world countries to better serve the nations. We have focused data/statistics gathered from Pakistan as exemplary data. There are four provincial governments of Pakistan headed by the Chief Ministers and ministries/departments are headed by the ministers/department heads. Having the up to date and accurate information on finger tips is headache for the stakeholders as the existing system is manual (Paper) work. The main objective of the proposed solution is to provide the up to date and accurate information (knowledge) to the stakeholders on their finger tips providing them a dashboard displaying the information with the drill down/up facility to get information of the own will. The proposed solution is intended to be used by the governments of third world countries to better serve the nations. However; the proposed solution is quite in general and can be easily adopted by the private organizations currently using individual information systems at different locations.
  • Keywords
    cloud computing; data mining; government data processing; information systems; personnel; cloud computing solution; cloud government; data mining; government employees; information systems; private organizations; third world countries; Cloud computing; Data mining; Databases; Diseases; Government; Information systems; Information technology; Cloud computing; Data mining; Government; Information system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-4765-2
  • Type

    conf

  • DOI
    10.1109/CCIOT.2014.7062502
  • Filename
    7062502