System and Method for Caching Time Series Data

Abstract

The present invention provides a method and system for caching time series data. A computer system for caching time series data is disclosed. The computer system comprises one or more processors, at least one cache, and a computer readable storage medium. The computer readable storage medium contains instructions that, when executed by the one or more processors, causes the one or more processors to perform a set of steps comprising fetching the time series data from a time series data source, calculating one or more expiry timestamps, grouping the plurality of time series datum in to one or more time data chunks based on the one or more expiry timestamps, and storing a copy of the time series data and the one or more expiry timestamps in the at least one cache.

Description

FIELD OF INVENTION[0001]The present invention relates to time series data, and in particular, it relates to caching of time series data.BACKGROUND[0002]Time series data refers to sequences of data points measured over a. span of tune, often spaced at uniform time intervals. Time series data is often stored on a remote server known as historian. The historian is responsible for collecting raw time series data and cleaning raw time series data. For analysis and query purposes, time series data is fetched from the historian. However, due to the ever increasing size of tune series data, retrieval of time series data is an expensive operation in terms of network resources.[0003]There have been several approaches to optimize the retrieval of time series data. One such approach (US 20110153603, Adiba et al.; US 20110167486, Ayloo et al.) suggests the usage of a cache memory for holding recent time series data. However, this approach is often inefficient as the cached time series data is no...

AI Technical Summary

Benefits of technology

This patent describes a computer system and method for caching time series data. The system includes a cache and one or more processors. The processors fetch time series data from a source and calculate expiry timestamps for each piece of data. The data is then grouped into chunks based on the timestamps. A copy of the data and timestamps is stored in the cache for faster access. The method allows for efficient caching of time series data, reducing latency and improving performance.

Problems solved by technology

However, due to the ever increasing size of tune series data, retrieval of time series data is an expensive operation in terms of network resources.

However, this approach is often inefficient as the cached time series data is not reflective of the actual time series data.

When a correction is made to the actual time series data, the cached data is no longer valid.

Since the current approach does not take into account the mutable nature of time series data, the current approach is inefficient.

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