Load balancing virtual machines deployment mechanism in SDN open cloud platform

Hsieh, Wen-Kuei; Hsieh, Wen-Hsu; Chen, Jiann-Liang; Chou, Feng-Yi; Lee, Yung-Sheng

doi:10.1109/icact.2015.7224814

Cited by 1 publication

(2 citation statements)

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“…106 Because of the changeability of traffic load, real data centers may toil from high latency, lower throughput, and low QoS. 106 Because of the changeability of traffic load, real data centers may toil from high latency, lower throughput, and low QoS.…”

Section: Overview Of the Selected Mechanismmentioning

confidence: 99%

“…Due to the rapid development of cloud computing technology, the number of users has increased dramatically as well as modern cloud-based applications are becoming more communication-intensive and need more bandwidth; hence, existing data centers are not improved for cloud-based software services. 106 Because of the changeability of traffic load, real data centers may toil from high latency, lower throughput, and low QoS. 107,108 To solve this problem, A programmable middlebox has been presented by Tu, Wang 82 that can evenly distribute traffic.…”

Section: Overview Of the Selected Mechanismmentioning

confidence: 99%

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Nature‐inspired meta‐heuristic algorithms for solving the load balancing problem in the software‐defined network

Neghabi

Navimipour

Hosseinzadeh

et al. 2019

Int J Communication

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The growth of the networks has difficult network management. Recently, a concept called software-defined network (SDN) has been proposed to address this issue, which makes network management more adaptable. Control and forwarding planes are separated in SDN. The control plane is a centralized logical controller that controls the network. The forwarding plane that consists of transfer devices is responsible for transmitting packets. Because the network resources are limited, optimizing the use of resources in the networks is an important issue. Load balancing improves the balanced distribution of loads across multiple resources in order to maximize the reliability and network resources efficiency. SDN controllers can create an optimal load balancing compared to traditional networks because they have a network global view. The load-balancing problem can be solved using many different natureinspired meta-heuristic techniques because it has the NP-complete nature.Hence, for solving load balancing problem in SDN, nature-inspired metaheuristic techniques are important methods. However, to the best of our knowledge, there is not a survey or systematic review on studying these matters. Accordingly, in the area of the load balancing in the SDN, this paper reviews systematically the nature-inspired meta-heuristic techniques. Also, this study demonstrates advantages and disadvantages regarded of the chosen nature-inspired meta-heuristic techniques and considers their algorithms metrics. Moreover, to apply better load balancing techniques in the future, the important challenges of these techniques have been investigated.

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Section: Overview Of the Selected Mechanismmentioning

confidence: 99%

Section: Overview Of the Selected Mechanismmentioning

confidence: 99%