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Grant Award View - GA292439
Cost-effective and Reliable Edge Caching for Software Vendors
GA ID:
GA292439
Agency:
Australian Research Council
Approval Date:
16-Mar-2023
Publish Date:
29-Mar-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
16-Mar-2023 to 31-Dec-2025
Value (AUD):
$492,651.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Linkage
Grant Program:
Linkage Projects
Grant Activity:
Cost-effective and Reliable Edge Caching for Software Vendors
Purpose:
This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game theory, this project tackles the new challenges in the placement, update and adaptation of edge data faced by software vendors embracing 5G. The outcomes can ease software vendors' cost and security concerns during the transition from 4G to 5G, and significantly promote the wave of 5G innovation in Australia.
GO ID:
GO Title:
Linkage Projects for funding applied for in 2022
Internal Reference ID:
LP22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Swinburne University of Technology
Recipient ABN:
13 628 586 699
Grant Recipient Location
Suburb:
HAWTHORN
Town/City:
HAWTHORN
Postcode:
3122
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3122
Country:
AUSTRALIA