Name
Title | ||
|---|---|---|
Elastic and Predictive Allocation of Computing Tasks in Energy Harvesting IoT Edge Networks |
Abstract | ||
|---|---|---|
We consider a distributed IoT edge network whose end nodes generate computation jobs that can be processed locally or be offloaded, in full or in part, to other IoT nodes and/or edge servers having the necessary computation and energy resources. That is, jobs can either be partitioned and executed at multiple nodes (including the originating node) or be atomically executed at the designate server.... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNSE.2021.3072968 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Servers,Task analysis,Energy harvesting,Computational modeling,Resource management,Optimization,Delays | Journal | 8 |
Issue | ISSN | Citations |
2 | 2327-4697 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davide Cecchinato | 1 | 0 | 0.68 |
| Tomaso Erseghe | 2 | 382 | 31.26 |
| Michele Rossi | 3 | 228 | 26.33 |