Invention Grant
- Patent Title: Dynamic memory tuning for in-memory data analytic platforms
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Application No.: US15157683Application Date: 2016-05-18
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Publication No.: US10204175B2Publication Date: 2019-02-12
- Inventor: Zhenhua Hu , Min Li , Luna Xu , Yandong Wang , Li Zhang
- 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: Otterstedt, Ellenbogen & Kammer, LLP
- Agent David Quinn
- Main IPC: G06F12/0893
- IPC: G06F12/0893 ; G06F17/30 ; G06F12/0862

Abstract:
At a cache manager of a directed acyclic graph-based data analytic platform, memory usage statistics are obtained from each of a plurality of monitor components on a plurality of worker nodes. The worker nodes have a plurality of tasks executing thereon, and each of the tasks has at least one distributed dataset associated therewith. Each of the worker nodes has a distributed dataset cache. At least one of the following is carried out: increasing a size of a given one of the distributed dataset caches if the memory usage statistics indicate that corresponding ones of the tasks are using too little memory; and decreasing a size of another given one of the distributed dataset caches if the memory usage statistics indicate contention between corresponding ones of the tasks and a corresponding one of the distributed datasets.
Public/Granted literature
- US20170337135A1 DYNAMIC MEMORY TUNING FOR IN-MEMORY DATA ANALYTIC PLATFORMS Public/Granted day:2017-11-23
Information query
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