Two-phase load balancing for data center networks using OpenFlow

<span>In the last two decades, networks had been changed according to the rapid changing in its requirements. The current Data Center Networks have large number of hosts (tens or thousands) with special needs of bandwidth as the cloud network and the multimedia content computing is increased. The conventional Data Center Networks (DCNs) are highlighted by the increased number of users and bandwidth requirements which in turn have many implementation limitations. The current networking devices with its control and forwarding planes coupling result in network architectures are not suitable for dynamic computing and storage needs. Software Defined networking (SDN) is introduced to change this notion of traditional networks by decoupling control and forwarding planes. So, due to the rapid increase in the number of applications, websites, storage space, and some of the network resources are being underutilized due to static routing mechanisms. To overcome these limitations, a Software Defined Network based Openflow Data Center network architecture is used to obtain better performance parameters and implementing traffic load balancing function. The load balancing distributes the traffic requests over the connected servers, to diminish network congestions, and reduce underutilization problem of servers. As a result, SDN is developed to afford more effective configuration, enhanced performance, and more flexibility to deal with huge network designs</span>

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A Two-Phase Load Balancing Algorithm for Cloud Environment

International Journal of Software Science and Computational Intelligence ◽

10.4018/ijssci.2021010103 ◽

2021 ◽

Vol 13 (1) ◽

pp. 38-55

Author(s):

Archana Singh ◽

Rakesh Kumar

Keyword(s):

Load Balancing ◽

Data Center ◽

Virtual Machines ◽

Second Phase ◽

Cloud Environment ◽

Cloud Platform ◽

Efficient Utilization ◽

Two Phase ◽

Excessive Load ◽

Load Balancing Algorithm

Load balancing is the phenomenon of distributing workload over various computing resources efficiently. It offers enterprises to efficiently manage different application or workload demands by allocating available resources among different servers, computers, and networks. These services can be accessed and utilized either for home use or for business purposes. Due to the excessive load on the cloud, sometimes it is not feasible to offer all these services to different users efficiently. To solve this excessive load issue, an efficient load balancing technique is used to offer satisfactory services to users as per their expectations also leading to efficient utilization of resources and applications on the cloud platform. This paper presents an enhanced load balancing algorithm named as a two-phase load balancing algorithm. It uses a two-phase checking load balancing approach where the first phase is to divide all virtual machines into two different tables based on their state, that is, available or busy while in the second phase, it equally distributes the loads. The various parameters used to measure the performance of the proposed algorithm are cost, data center processing time, and response time. Cloud analyst simulation tool is used to simulate the algorithm. Simulation results demonstrate superiority of the algorithm with existing ones.

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Load Balancing in Data Center Networks

Encyclopedia of Wireless Networks ◽

10.1007/978-3-319-32903-1_325-1 ◽

2019 ◽

pp. 1-3

Author(s):

Fei Li ◽

Long Zhao

Keyword(s):

Load Balancing ◽

Data Center ◽

Data Center Networks

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