Invention Grant
- Patent Title: Predictive resource allocation and scheduling for a distributed workload
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Application No.: US18313814Application Date: 2023-05-08
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Publication No.: US12277445B2Publication Date: 2025-04-15
- Inventor: Gauravdeep Singh Shami , Ziqiang Wang , Marc Lyonnais , Abdullah Bittar
- Applicant: Ciena Corporation
- Applicant Address: US MD Hanover
- Assignee: Ciena Corporation
- Current Assignee: Ciena Corporation
- Current Assignee Address: US MD Hanover
- Agency: Baratta Law PLLC
- Agent Lawrence A. Baratta, Jr.
- Main IPC: G06F9/455
- IPC: G06F9/455 ; G06F9/48 ; G06F9/50 ; G06F9/54

Abstract:
Systems and methods are provided for predicting how tasks should be allocated to available network resources. A method, according to one implementation, includes the step of receiving resource utilization metrics from each of a plurality of nodes arranged in a cluster, wherein the resource utilization metrics of each node include information related to utilization of one or more resources of the respective node over a plurality of time periods. The method also includes the step of predicting current and forthcoming resource availability of each node based on patterns of resource utilization over past and current time periods. In response to receiving a job request having multiple workload responsibilities, the method includes the step of allocating the workload responsibilities to one or more nodes based on the predicted current and forthcoming resource availability of each node in order to fulfill the job request.
Public/Granted literature
- US20240378079A1 Predictive resource allocation and scheduling for a distributed workload Public/Granted day:2024-11-14
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