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Grant Award View - GA68705-V3
Resource Allocation for High-Volume Streaming Data in Data Centers
GA ID:
GA68705-V3
Agency:
Australian Research Council
Approval Date:
19-Dec-2019
Variation Publish Date:
20-Oct-2021
Variation Date:
12-Oct-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Oct-2020 to 30-Sep-2023
Value (AUD):
$375,000.00
(GST inclusive where applicable)
Varies:
GA68705
- Resource Allocation for High-Volume Streaming Data in Data Centers
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Resource Allocation for High-Volume Streaming Data in Data Centers
Purpose:
Almost all chip vendors are producing new hardware accelerators by combining several units into a single main-board, and therefore making the execution of parallel and distributed run-time primitives not efficient/scalable. This project aims to develop innovative ways to building incremental and iterative computations over massive data sets in a cluster of heterogeneous systems. This will provide a significant reduction of performance bottlenecks when running heavily distributed data-driven applications. Expected outcomes will include resource management algorithms that optimise performance at large scale. The project will benefit many areas, including running stateful iterative stream-based data-analysis applications in data centres.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
RMIT University
Recipient ABN:
49 781 030 034
Grant Recipient Location
Suburb:
MELBOURNE
Town/City:
MELBOURNE
Postcode:
3000
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3000
Country:
AUSTRALIA