Invention Grant
- Patent Title: Optimizing dynamic resource allocations for memory-dependent workloads in disaggregated data centers
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Application No.: US15982579Application Date: 2018-05-17
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Publication No.: US10936374B2Publication Date: 2021-03-02
- Inventor: John A. Bivens , Eugen Schenfeld , Ruchi Mahindru , Min Li , Valentina Salapura
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Griffiths & Seaton PLLC
- Main IPC: G06F9/50
- IPC: G06F9/50

Abstract:
Embodiments for optimizing memory placement in a disaggregated computing environment. A new workload is assigned to a subset of a plurality of processors, the subset of processors assigned a subset of a plurality of memory devices. In some embodiments, a determination is made as to whether the new workload is categorized as a memory-dependent workload having a memory need which can be met primarily by the subset of the memory devices. If the new workload is categorized as a memory-dependent workload, a determination is then made as to whether the subset of the memory devices is meeting the memory need of the new workload. When the subset of the memory devices is not meeting the memory need of the new workload, a memory related action is taken.
Public/Granted literature
- US20190354413A1 OPTIMIZING DYNAMIC RESOURCE ALLOCATIONS FOR MEMORY-DEPENDENT WORKLOADS IN DISAGGREGATED DATA CENTERS Public/Granted day:2019-11-21
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