• Patent Title: Approximate order statistics of real numbers in generic data
  • Application No.: US14255981
    Application Date: 2014-04-18
  • Publication No.: US09645975B2
    Publication Date: 2017-05-09
  • Inventor: Steve Yu Zhang
  • Applicant: Splunk Inc.
  • Applicant Address: US CA San Francisco
  • Assignee: Splunk Inc.
  • Current Assignee: Splunk Inc.
  • Current Assignee Address: US CA San Francisco
  • Agency: Wong & Rees LLP
  • Agent Kirk D. Wong
  • Main IPC: G06F17/18
  • IPC: G06F17/18
Approximate order statistics of real numbers in generic data
Abstract:
A method, system, and processor-readable storage medium are directed towards calculating approximate order statistics on a collection of real numbers. In one embodiment, the collection of real numbers is processed to create a digest comprising hierarchy of buckets. Each bucket is assigned a real number N having P digits of precision and ordinality O. The hierarchy is defined by grouping buckets into levels, where each level contains all buckets of a given ordinality. Each individual bucket in the hierarchy defines a range of numbers—all numbers that, after being truncated to that bucket's P digits of precision, are equal to that bucket's N. Each bucket additionally maintains a count of how many numbers have fallen within that bucket's range. Approximate order statistics may then be calculated by traversing the hierarchy and performing an operation on some or all of the ranges and counts associated with each bucket.
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