Invention Grant
- Patent Title: Distributing data analytics in a hierarchical network based on computational complexity
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Application No.: US15133631Application Date: 2016-04-20
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Publication No.: US10291494B2Publication Date: 2019-05-14
- Inventor: Plamen Nedeltchev , David A. Maluf , David D. Ward , Alon S. Bernstein
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Edell, Shapiro & Finnan, LLC
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L12/26 ; H04L12/24

Abstract:
A method provided in a network including edge devices to collect data from data producers connected to the edge devices and to communicate with cloud-based prosumers connected with the edge devices. Data analytics tasks are identified. The data analytics tasks are used to process data collected from a data producer among the data producers to produce a result for consumption by one or more of the cloud-based prosumers. For each data analytics task it is determined whether a computational complexity of the data analytics task is less than or equal to a predetermined computational complexity. Each data analytics task determined to have a computational complexity less than or equal to the predetermined computational complexity is assigned to an edge device among the edge devices. Each data analytics task determined to have a computational complexity that exceeds the predetermined computational complexity is assigned to a prosumer among the prosumers.
Public/Granted literature
- US20170310565A1 DISTRIBUTING DATA ANALYTICS IN A HIERARCHICAL NETWORK BASED ON COMPUTATIONAL COMPLEXITY Public/Granted day:2017-10-26
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