Adaptive Load Balancing for Massively Parallel Multi-Level Monte Carlo Solvers

2014 ◽  
pp. 47-56 ◽  
Author(s):  
Jonas Šukys
Keyword(s):  
Monte Carlo ◽  
Load Balancing ◽  
Massively Parallel ◽  
Multi Level

scholarly journals Novel Multi-Level Dynamic Traffic Load-Balancing Protocol for Data Center

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 145 ◽  
Author(s):  
Sheeba Memon ◽  
Jiawei Huang ◽  
Hussain Saajid ◽  
Naadiya Khuda Bux ◽  
Arshad Saleem ◽  
...  
Keyword(s):  
Load Balancing ◽  
Data Center ◽  
State Of The Art ◽  
Traffic Load ◽  
Parameter Setting ◽  
Dynamic Traffic ◽  
Typical Data ◽  
Fixed Parameter ◽  
Multi Level ◽  
Traffic Load Balancing

Typically, the production data centers function with various risk factors, such as for instance the network dynamicity, topological asymmetry, and switch failures. Hence, the load-balancing schemes should consider the sensing accurate path circumstances as well as the reduction of failures. However, under dynamic traffic, current load-balancing schemes use the fixed parameter setting, resulting in suboptimal performances. Therefore, we propose a multi-level dynamic traffic load-balancing (MDTLB) protocol, which uses an adaptive approach of parameter setting. The simulation results show that the MDTLB outperforms the state-of-the-art schemes in terms of both the flow completion time and throughput in typical data center applications.

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