Reprint of “LBBSRT: An efficient SDN load balancing scheme based on server response time”

Zhong, Hong; Fang, Yaming

doi:10.1016/j.future.2017.11.012

Cited by 53 publications

(45 citation statements)

References 10 publications

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“…Till now, we compared our work with other static load balancing algorithms. Now onwards, we will compare our proposed work with another dynamic load balancing algorithm, LBBSRT whose details are already stated in the related work. Figure shows that our proposed algorithm efficiently works on memory utilization because of the parameters used to measure the resource utilization.…”

Section: Resultsmentioning

confidence: 99%

“…To solve the overload problem of the web server, various load balancing algorithm has been proposed, but still, it is an open challenge for researchers. Some of the existing loads balancing algorithms are proposed based on single load balancing parameter that is not enough to select the best server to process the request. These algorithms can satisfy only the specific requirement of the user.…”

Section: Related Workmentioning

confidence: 99%

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DServ‐LB: Dynamic server load balancing algorithm

Deepalakshmi

2018

Int J Communication

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In recent years, web services have been largely accessed by the customer, and it increases the network traffic on the internet. To provide the services for the large number of customer, dynamic clustering concept has been implemented that provides the ability to add or remove the servers on demand. But managing and processing the large set of traffic are very complicated. Load balancing technic helps to resolve the problems of network traffic and give efficient network management. In this paper, we proposed a dynamic server load balancing algorithm (DServ-LB) using OpenFlow switches in software-defined networking. The OpenFlow switches support the dynamic programmability. Also, we used the sFlow protocol, which is used to monitor the servers resource information periodically and the controller. Based on the server resource availability, the controller installs forwarding rules in the OpenFlow switches. For implementation, we used Mininet for network emulation, POX controller, and Docker container as Mininet hosts. The result shows that the proposed DServ-LB improves the overall network performance and efficiently utilizes the server resources if compared with existing load balancing algorithms.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

DServ‐LB: Dynamic server load balancing algorithm

Deepalakshmi

2018

Int J Communication

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“…An efficient SDN load balancing scheme was presented by Zhong et al [11]. The key idea of that proposed scheme was distributing requests to different servers based on the response time of each server.…”

Section: Related Workmentioning

confidence: 99%

“…Technique Research Focus/Contribution/Features Zhong et al [11] Controller-based server response time measurement; Dynamic server selection…”

Section: No Authorsmentioning

confidence: 99%

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JSSTR: A Joint Server Selection and Traffic Routing Algorithm for the Software-Defined Data Center

et al. 2018

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Server load balancing technology makes services highly functional by distributing the incoming user requests to different servers. Thus, it plays a key role in data centers. However, most of the current server load balancing schemes are designed without considering the impact on the network. More specifically, when using these schemes, the server selection and routing path calculation are usually executed sequentially, which may result in inefficient use of network resources or even cause some issues in the network. As an emerging architecture, Software-Defined Networking (SDN) provides new solutions to overcome these shortcomings. Therefore, taking advantages of SDN, this paper proposes a Joint Server Selection and Traffic Routing algorithm (JSSTR) based on improving the Shuffle Frog Leaping Algorithm (SFLA) to achieve high network utilization, network load balancing and server load balancing. Evaluation results validate that the proposed algorithm can significantly improve network efficiency and balance the network load and server load.

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Load Balancing Based on Closed Loop Control Theory (LBBCLCT): A Software Defined Networking (SDN) powered server load balancing system based on closed loop control theory

Malavika¹,

Valarmathi²

2022

Concurrency and Computation

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This article comprises work concerned with proposing a scheme for intercepting network traffic and directs that traffic to servers in Software defined network model.Several studies have explored the effects of average response time of user requests with different load balancing algorithms. Server load balancing is a well-recognized issue which necessitates a better approach by doing deeper understanding of the network parameters. The implications of the mean response time of client requests are investigated in this article by having a closer look on changing the important network parameter namely probing time (time to investigate the server farm in order to gain access to server data) using the concept of closed loop control theory. Our LBB-CLCT proves to be effectively distributes the user requests to the most appropriate server by timely changing the server even when the traffic exhibits inconsistency. The results reveal that LBBCLCT outperforms other methods such as round robin, LBBSRT, and SD-WLB in terms of processing the client requests with a reduced mean server response time. LBBCLCT showed the improvement of average response time by 46.2%, 25.6%, and 43.59% over round robin, LBBSRT, and SDWLB respectively.

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Reprint of “LBBSRT: An efficient SDN load balancing scheme based on server response time”

Cited by 53 publications

References 10 publications

DServ‐LB: Dynamic server load balancing algorithm

DServ‐LB: Dynamic server load balancing algorithm

JSSTR: A Joint Server Selection and Traffic Routing Algorithm for the Software-Defined Data Center

Load Balancing Based on Closed Loop Control Theory (LBBCLCT): A Software Defined Networking (SDN) powered server load balancing system based on closed loop control theory

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