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Big Vector: An External Memory Algorithm and Data Structure

Upadhyay, Abhyudaya

Abstract Details

2015, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
In such data-centered domains as science, finance, and social media, it is essential to collect vast quantities of data for research purposes in order to remain relevant and competitive. However, the effective utilization of this data by computers is hindered by insufficient memory and processing capacities, since present data structures and free memory (RAM and Virtual Memory) were not designed to process large data sets As a solution to this issue, we have developed Big Vector, a new data storage container capable of storing large amount of data which features a user-friendly STL Vector Interface and is dynamically resizable during run time. This paper demonstrates that Big Vector provides larger storage than standard memory containers such as array, vector (STL), and linkedlist, making Big Vector useful for programmers hindered by inadequate storage space and memory resources.
Paul Talaga, Ph.D. (Committee Chair)
Raj Bhatnagar, Ph.D. (Committee Member)
John Franco, Ph.D. (Committee Member)
51 p.

Recommended Citations

Citations

  • Upadhyay, A. (2015). Big Vector: An External Memory Algorithm and Data Structure [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279714

    APA Style (7th edition)

  • Upadhyay, Abhyudaya. Big Vector: An External Memory Algorithm and Data Structure. 2015. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279714.

    MLA Style (8th edition)

  • Upadhyay, Abhyudaya. "Big Vector: An External Memory Algorithm and Data Structure." Master's thesis, University of Cincinnati, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439279714

    Chicago Manual of Style (17th edition)