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Symmetry 2019, 11(2), 145; https://doi.org/10.3390/sym11020145

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

1
School of Information Science and Engineering, Central South University Changsha, Changsha 410083, China
2
School of Computer Science and Engineering, Dalian University of Technology Dalian, Dalian 116024, China
3
Shaheed Benazir Bhutto University, Shaheed Benazirabad, Landhi-Nawabshah 67450, Pakistan
4
Mechanical Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia
*
Author to whom correspondence should be addressed.
Received: 17 December 2018 / Revised: 19 January 2019 / Accepted: 21 January 2019 / Published: 28 January 2019
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Abstract

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. View Full-Text
Keywords: data centers; load balance; parameter setting data centers; load balance; parameter setting
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Memon, S.; Huang, J.; Saajid, H.; Khuda Bux, N.; Saleem, A.; Aljeroudi, Y. Novel Multi-Level Dynamic Traffic Load-Balancing Protocol for Data Center. Symmetry 2019, 11, 145.

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