• DocumentCode
    146524
  • Title

    Green database model for stock market: a case study of Indian stock market

  • Author

    Singh, Koushlendra K. ; Dimri, Priti ; Rawat, Meenakshi

  • Author_Institution
    Dept. of Comput. Sci., GBPEC, Pauri Garhwal, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    848
  • Lastpage
    853
  • Abstract
    Mammoth data is being created in stock market round the globe. In the era of global village, stack holders and participators in stock market is developing its own repositories. Due to this phenomenon, same data is being deposited at different places and repeated again and again. Repetition of data requires resources and it leads to the wastage of cost, energy, power, space etc. In market is relatively less mature than develop market and due it, large unplanned and unused data had been stored in the database of intermediaries and other stack holders. This paper is the continuation of our previous work of green database model for stock market. We already discussed the database based on integer value [8] and referential value [9] but green database model is till need some improvements. This paper discusses the database model for stock market as a case study of Indian stock market and proposes a green database model. It also unearth the questions arises after integer value and referential value databases. It also tries to calculate its green effect.
  • Keywords
    database management systems; green computing; stock markets; Indian stock market; data repetition; global village; green database model; integer value databases; referential value databases; Databases; Forecasting; Green products; Industries; Information technology; Internet; Stock markets; green database; integer value database; referential value database; repositories; stock market;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949306
  • Filename
    6949306