Deadline-constrained multi-resource task mapping and allocation for edge-cloud systems
In an edge-cloud system, mobile devices can offload their computation intensive tasks to an edge or cloud server to guarantee the quality of service or satisfy task deadline requirements. However, it is challenging to determine where tasks should be offloaded and processed, and how much network and...
Saved in:
Main Authors: | Gao, Chuanchao, Shaan, Aryaman, Easwaran, Arvind |
---|---|
Other Authors: | Interdisciplinary Graduate School (IGS) |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/161260 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
On the resource allocation and pricing strategies in Compute Clouds using bargaining approaches
by: Iyer, G.N., et al.
Published: (2014) -
Energy efficient scheduling for deadline-constrained applications in edge computing systems
by: Wang, Qianteng
Published: (2024) -
Deadline-aware scheduling and flexible bandwidth allocation for big-data transfers
by: Srinivasan, S.M., et al.
Published: (2021) -
From cloud to fog computing : a review and a conceptual live VM migration framework
by: Osanaiye, Opeyemi, et al.
Published: (2018) -
An auction-based resource allocation model for green cloud computing
by: Huu, T.T., et al.
Published: (2014)