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Grant Award View - GA214403
Embedding Enterprise Systems in IoT Fog Networks through Microservices
GA ID:
GA214403
Agency:
Australian Research Council
Approval Date:
14-Jan-2022
Publish Date:
20-Jan-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
13-Jan-2023 to 12-Jan-2026
Original: 14-Jan-2022 to 31-Dec-2024
Value (AUD):
$480,000.00
(GST inclusive where applicable)
Variations:
- GA214403-V2 - Variation to Grant (30-May-2023 )
- GA214403-V1 - Variation to Grant (28-Sep-2022 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Embedding Enterprise Systems in IoT Fog Networks through Microservices
Purpose:
The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for localised IoT execution, through microservices executing autonomously on nodes of IoT fog networks. It will develop new techniques for automated discovery of microservices from enterprise systems and the verification of future-state system execution based on current-state behavioural and other properties such as security.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2022
Internal Reference ID:
DP22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Queensland University of Technology
Recipient ABN:
83 791 724 622
Grant Recipient Location
Suburb:
BRISBANE CITY
Town/City:
BRISBANE CITY
Postcode:
4000
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4000
Country:
AUSTRALIA