US 10,503,558 B2Granted

Adaptive resource management in distributed computing systems

AssigneeHuawei Technologies Co., Ltd.

InventorsPriyank Ashok Rastogi, Naganarasimha Ramesh Garla, Rohith Sharma K Shivashankara

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Abstract

The present disclosure provides a framework for adaptive resource handling of applications being executed in distributed systems so as to ensure efficient resource utilization. The present disclosure provides a framework: to enable a client to participate in identifying application uniquely using tags such that resource adaptation is more effective, to collect and store resource statistics for an application task against various parameters, to monitor resources done based on historical statistics collected, to resource management is done based on historically identified resource usage limits, and if exact match for the records are not found then based on confidence score the limits are identified, and to enable each resource manager (RM) agent to receives the workers to be launched with both limits: given by the application (hard limit) and by the historical statistics (soft limit).

Claims19

Dependent claims

A system for adaptive resource management, the system comprising a resource manager (RM) and at least one RM Agent, wherein:

the resource manager (RM) is configured to:
receive at least one resource request from at least one application, wherein the application comprises an application name and a tag, and the resource request comprises a resource requirement of an application task for execution;
provide at least a soft limit for the application task based on at least a historical resource usage statistics pre-stored in a history data store or return to a hard limit for the application task configured by at least one user;
and
allocate at least one resource from the RM Agent identified for execution of the application task, wherein the RM is configured to allocate at least one other resource for the execution of the application task from the RM Agent identified when resource usage of the resource allocated for execution exceeds the soft limit;
and
the RM Agent is configured to:
execute the application task based at least on the soft limit or the hard limit;
monitor the application task during execution;
and
store a resource usage statistics of the resource of the application task against the tag.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/245,823Filed 11 Jan 2019 · continuation
Priority: IN 20164102400113 Jul 2016
Published: US 2019/0146848 A116 May 2019
Granted: 10 Dec 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G06F 9/5061
Allocation of resources, e.g. of the central processing unit [CPU]: partitioning or combining of resources
G06F 9/485
By program, e.g. task dispatcher, supervisor, operating system: task life-cycle, e.g. stopping, restarting, resuming execution
G06F 9/4881
By program, e.g. task dispatcher, supervisor, operating system: scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
G06F 9/5016
The resources being hardware resources other than CPUs, Servers and Terminals: the resource being the memory

Family

PCT/CN2017/091506Parent of this continuation · filed 3 Jul 2017
US 2019/0146848 A1Pre-grant publication · published 16 May 2019
US 10,503,558 B2This patent

From the US filing history. Foreign family members aren’t listed.

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