US 10,764,359 B2Granted

Method and server for dynamic work transfer

AssigneeIndustrial Technology Research Institute

InventorsLyu-Han Chen, Ching-Yao Wang

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Abstract

A method and a server for dynamic work transfer are provided. The method includes following steps: regularly collecting and recording network resources of multiple nodes including a cloud node and multiple edge nodes in a network; receiving a request of a first job at a first time point, calculating a cost for configuring the first job to each node according to the network resource of each node at the first time point, and configuring the first job to a first target node; receiving a request of a second job at a second time point, calculating a cost for configuring the second job to each node according to the network resource of each node at the first time point, and determining a second target node suitable for configuring the second job and whether to transfer the first job; and accordingly configuring the second job and maintaining or transferring the first job.

Claims14

Dependent claims

A method for dynamic work transfer, adapted for a cloud node under a cloud and edge computing framework, the method comprising:

regularly collecting and recording network resources of a plurality of nodes in a network, wherein the nodes comprise a cloud node and a plurality of edge nodes;
in response to receiving a request of a first job at a first time point, calculating costs for configuring the first job to the respective nodes based on the network resources of the respective nodes at the first time point to configure the first job to a first target node of the nodes;
in response to receiving a request of a second job at a second time point, calculating costs for configuring the second job to the respective nodes based on the network resources of the respective nodes at the first time point, and determining a second target node suitable for configuring the second job and whether to transfer the first job, wherein the second time point is after the first time point;
and
configuring the second job and maintaining or transferring the first job based on a determination result.

2 more elements

A server, adapted as a cloud node under a cloud and edge computing framework, the server comprising:

a communication apparatus, connected to a network and communicating with a plurality of edge nodes in the network;
a storage apparatus;
and
a processor, coupled to the communication apparatus and the storage apparatus and executing a program recorded in the storage apparatus to:
regularly collect network resources of a plurality of nodes in the network through the communication apparatus and record the network resources in the storage apparatus, wherein the nodes comprise the cloud node and the edge nodes;
in response to receiving a request of a first job through the communication apparatus at a first time point, calculate costs for configuring the first job to the respective nodes based on the network resources of the respective nodes at the first time point to configure the first job to a first target node of the nodes;
in response to receiving a request of a second job at a second time point, calculate costs for configuring the second job to the respective nodes based on the network resources of the respective nodes at the first time point, and determine a second target node suitable for configuring the second job and whether to transfer the first job, wherein the second time point is after the first time point;
and
configure the second job and maintain or transfer the first job based on a determination result.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/924,297Filed 19 Mar 2018
Priority: TW 107100259 A4 Jan 2018
Published: US 2019/0208006 A14 Jul 2019
Granted: 1 Sep 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

H04L 67/10
Protocols: in which an application is distributed across nodes in the network
H04L 41/0826
Characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability: for reduction of network costs
H04L 67/1001
In which an application is distributed across nodes in the network: for accessing one among a plurality of replicated servers
H04L 43/0852
Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters: delays