Invention Grant
- Patent Title: Network-aware workload management using artificial intelligence and exploitation of asymmetric link for allocating network resources
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Application No.: US16878968Application Date: 2020-05-20
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Publication No.: US11329890B2Publication Date: 2022-05-10
- Inventor: Jyothi M Pampaiah , Murali Nidugala , Viratkumar Maganlal Manvar , Aditya Bigganahalli Satyanarayana , Ravi Teja Jammulapati
- Applicant: Hewlett Packard Enterprise Development LP
- Applicant Address: US TX Houston
- Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee Address: US TX Houston
- Agency: Trop, Pruner & Hu, P.C.
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L41/16 ; G06N20/00 ; H04L47/25 ; H04L41/14 ; H04L41/12

Abstract:
Systems which support an asymmetric link define rules and policies in each individual physical layer. An asymmetric link is a physical layer with a different number of transmit versus receive lanes. Asymmetric links enable physical layers to optimize performance, power, and system resources based on the required data bandwidth per direction across a link. Modern applications exhibit large demands for high memory bandwidth, i.e., more memory channels and larger bandwidth per channel. The utilization data, patterns) of link usage, and/or patterns) of lane usage may be gathered to exploit the facilities provided by asymmetric links. An engine includes AI-fueled analytics to monitor, orchestrate resources, and provide optimal routing, exploiting asymmetric links, lane polarity, and enqueue-dequeue in a computing ecosystem.
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