Efficient detection and prediction of data pattern changes in a cloud-based application acceleration as a service environment

US11070440B2 · kind B2 · utility

Assignee

• Aryaka Networks, Inc. · US

Inventors

• Parth Arvindbhai Patel · Sayla, IN
• Vivek Padmanabhan · Savanuru, IN
• Johny Nainwani · Gothan, IN
• Justin Joseph · Kanchinakote, IN
• Shyamtanu Majumder · Bengaluru, IN
• Vikas Garg · Delhi, IN
• Ashwath Nagaraj · Los Altos Hills, US

Key dates

• Filing date: Oct 23, 2019
• Grant date: Jul 20, 2021
• Expiry date: Oct 23, 2039

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L67/10
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes sampling time series data associated with each network entity for each feature thereof into a smaller time interval as a first data series and a second data series including a maximum value and a minimum value respectively of the sampled time series data for the each feature within the smaller time interval, and generating a reference data band from predicted future data sets. The method also includes detecting, based on the reference data band, an anomaly in real-time data associated with the each network entity for the each feature thereof and determining an event associated with a pattern of change of the real-time data associated with the each network entity based on executing an optimization algorithm to determine a series of anomalies including the detected anomaly.