# Load Balancing Oriented Predictive Routing Algorithm for Data Center Networks
## 3 Algorithm Design
### Implementation of the Algorithm
## 5 Conclusions

Many online services, parallel computing applications, and machine learning applications rely on data center infrastructure. These applications generate extensive traffic in a DCN, thereby making traffic scheduling an important means to improve resource utilization, ensure fair sharing, and guarantee application performance. Through the analysis of the network transmission link in a DCN, this work confirms that a network link has the characteristics of spatio-temporal data during data transmission. Therefore, we modified the original ST-ResNet algorithm. The input of the algorithm is changed to the occupancy state of the link, and the output standard is the mean square deviation between the predicted data and the current real data. Thus, the link occupancy status of the next duty time can be predicted. To make better use of the predicted results, we propose the LLBR algorithm, which determines the path used for data transmission So as to achieve load balance and improve the user's Quality of Experience (QoE). Experiments show that the LLBR algorithm can reasonably allocate the transmission path for the data

Figure 8: Packet loss rate of three algorithms. Figure 7: Delay jitter of three algorithms. in the next duty time. In the DCN, reasonable traffic scheduling can be performed by applying the LLBR algorithm to improve the utilization rate of resources, ensure fair sharing, and guarantee the performance of various applications. Conceptualization, Y.L., J.Z., Q.W. and W.L. ; investigation, Y.L., J.Z., Q.W. and P.L. ; methodology, Y.L., J.Z. and Q.W. ; validation, Y.L., J.Z. and Q.W. ; writing--original draft preparation, J.Z. ; supervision, Y.L. ; writing--review and editing, Y.L., J.Z. and W.L. All authors have read and agreed to the published version of the manuscript. This publication has emanated from a joint research conducted with the financial support of the S&T Major Project of the Science and Technology Ministry of China under the Grant No. 2017 YFE0135700. Not applicable. The authors declare no conflict of interest. ## References

* (1) [PERSON]; [PERSON]; [PERSON]; [PERSON] On the Network Power Effectiveness of Data Center Architectures. _IEEE Trans. Comput._**2015**, _64_, 3237-3248. [CrossRef]
* (2) [PERSON]; [PERSON] On Virtual Network Reconfiguration in Hybrid Optical/Electrical Datacenter Networks. _J. Light. Technol._**2020**, _38_, 6424-6436. [CrossRef]
* (3) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] DRILL: Micro Load Balancing for Low-latency Data Center Networks. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication, Los Angeles, CA, USA, 21-25 August 2017. * (4) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Load Balancing Scheme for Effectively Supporting Distributed In-Memory Based Computing. _Electronics_**2019**, \(8\), 546. [CrossRef]
* (5) [PERSON]; [PERSON]; [PERSON]; [PERSON] Dynamic SDN Controller Load Balancing. _Future Internet_**2019**, _11_, 75. [CrossRef]
* (6) [PERSON]; [PERSON]; [PERSON] Policy-Based Routing in RIP-Hybrid Network with SDN Controller. In Proceedings of the 4 th National Conference on Applied Research Electrical Mechanical Computer and IT Engineering, Tehran, Iran, 4 October 2018. * (7) [PERSON]; [PERSON]; [PERSON]; [PERSON] Power control mechanism for vehicle status message in VANET. _J. Comput. Appl._**2016**, _36_, 2175-2180. * (8) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Logic carrying network building method based on link load balancing. In Proceedings of the 2019 IEEE 1 st International Conference on Civil Aviation Safety and Information Technology (ICCASTI), Kunming, China, 17-19 October 2019. * (9) [PERSON]; [PERSON]; [PERSON] Buffer Size Evaluation of OpenFlow Systems in Software-Defined Networks. _IEEE Syst. J._**2018**, _13_, 1359-1366. [CrossRef]
* (10) [PERSON]; [PERSON]; [PERSON] Defending DDoS against Software Defined Networks using Entropy.