scholarly journals Load balancing in heterogeneous networks based on distributed learning in potential games

2015 ◽  
Author(s):  
Mohd. Shabbir Ali ◽  
Pierre Coucheney ◽  
Marceau Coupechoux
Keyword(s):  
Load Balancing ◽  
Heterogeneous Networks ◽  
Distributed Learning ◽  
Potential Games

Joint User Association and User Scheduling for Load Balancing in Heterogeneous Networks

2018 ◽  
Vol 17 (5) ◽  
pp. 3211-3225 ◽  
Author(s):  
Xin Ge ◽  
Xiuhua Li ◽  
Hu Jin ◽  
Julian Cheng ◽  
Victor C. M. Leung
Keyword(s):  
Load Balancing ◽  
Heterogeneous Networks ◽  
User Association ◽  
User Scheduling

scholarly journals Distributed Learning in Noisy-Potential Games for Resource Allocation in D2D Networks

2020 ◽  
Vol 19 (12) ◽  
pp. 2761-2773 ◽  
Author(s):  
M. Shabbir Ali ◽  
Pierre Coucheney ◽  
Marceau Coupechoux
Keyword(s):  
Resource Allocation ◽  
Distributed Learning ◽  
Potential Games

scholarly journals Dynamic Load Balancing for Simulations of Biological Aging

1997 ◽  
Vol 08 (03) ◽  
pp. 575-582 ◽  
Author(s):  
Frank Meisgen
Keyword(s):  
Load Balancing ◽  
Heterogeneous Networks ◽  
Dynamic Load ◽  
Parallel Computers ◽  
Dynamic Load Balancing ◽  
Biological Aging ◽  
Communication Overhead ◽  
Workstation Clusters ◽  
Large Populations ◽  
Penna Model

The efficient usage of parallel computers and workstation clusters for biologically motivated simulations depends first of all on a dynamic redistribution of the workload. For the development of a parallel algorithm for the Penna model of aging we have used a dynamic load balancing library, called PLB. It turns out that PLB manages a nearly balanced load situation during runtime taking only a low communication overhead. We compare different architectures like parallel computers and nondedicated heterogeneous networks, and give some results for large populations.

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