Tree query processing for distributed data

Raj Kumar

Abstract


It's difficult to do effective query processing on huge datasets. Performing range searches on large datasets with several features might take a long time. When it comes to database implementation, this is a common issue. Maintaining data in the form of self-balancing binary trees, which may deliver range query results in logarithmic time if the result set is significantly less than the data, is one solution to this problem. To overcome this challenge, an effective data storage model based on AVL trees is described in this study. The method also demonstrates how it may be used to a distributed dataset using the Hadoop platform.

Keywords


TTS, Query Processing, Indexing, Large Dataset, MapReduce, Range Queries

Full Text:

PDF

References


Albarran AB (2002) Media Economics: Understanding Markets, Industries and Concepts, 2nd ed. Iowa: Iowa State Press.

Albarran AB (2010) The Media Economy. New York: Routledge.

Arrese A and Albarran AB (2003) Time and media markets: Summary and research agenda. In: Albarran AB and Arrese A (eds) Time and Media Markets. London: Lawrence Erlbaum Associates Publishers, pp. 161–171.

Becker G (1965) A theory of the allocation of time. Economic Journal 75(3): 493–517.

Boczkowsi PJ (2010a) The consumption of online news at work. Information, Communication and Society 13(4): 470–484.

Boczkowsi PJ (2010b) News at Work: Imitation in an Age of Information Abundance. Chicago: The University of Chicago Press.

Chan T and Goldthorpe HJ (2007) Social status and newspaper readership. American Journal of Sociology 112(4): 1095–1134.

Chyi IH (2006) Re-examining the market relation between online and print news- paper: The case of Hong Kong. In: Li X (ed.) Internet Newspapers: The Making of a Mainstream Medium. New Jersey: Lawrence Erlbaum Associates Publishers, pp. 193–208.

Chyi IH and Yang MJ (2009) Is online news an inferior good? Examining the economic nature of online news among users. Journalism and Mass Communication Quarterly 86(3): 594–612.

Converse PE (1968) Time budgets. In: Sills D (ed.) International Encyclopedia of the Social Sciences. New York: Macmillan, pp. 42–47.

Dayan D and Katz E (1992) Media Events: The Live Broadcasting of History. Cambridge, MA: Harvard University Press.

De Grazia S (1962) Of Time, Work, and Leisure. New York: Twentieth Century Fund.

Dimmick J, Chen Y and Li Z (2004) Competition between the Internet and traditional news media: The gratification-opportunities niche dimension. Journal of Media Economics 17(1): 19–33.

Dimmick J and Albarran AB (1994) The role of gratification opportunities in determining media preference. Mass Communication Review 21: 223–235.

Dillman DA (2007) Mail and Internet Surveys: The Tailored Design Method, 2nd ed. Hoboken, NJ: Wiley.

Gupta, K., & Jiwani, N. (2020). Effects of COVID-19 risk controls on the Global Supply Chain. Transactions on Latest Trends in Artificial Intelligence, 1(1).


Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 International Journal of Machine Learning for Sustainable Development

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Impact Factor : 

JCR Impact Factor: 5.9 (2020)

JCR Impact Factor: 6.1 (2021)

JCR Impact Factor: 6.7 (2022)

JCR Impact Factor: 7.6 (2023)

JCR Impact Factor: 8.6 (2024)

JCR Impact Factor: Under Evaluation (2025)

A Double-Blind Peer-Reviewed Refereed Journal