The biggest challenge for the network service providers is the day to day advancement of technologies which makes them difficult to manage the traditional networks. This day to day advancement has worked as a motivation to vendors for developing, deploying and migrating their services, installments of new hardware, trained people and up gradation of infrastructure which involves a huge cost and time. These frequent changes demand a new network architecture which supports future technologies and solves all these issues named as the proposal of networks defined by software. A large amount of data is being generated and through the internet, we interact with the world using our smart devices such as tablets, sensors, and smartphones using the concepts of Internet of Things (IoT). Along with continuous growth and development, there is a continuous heterogenous and ever-increasing demands of services. This leads to a cause of emerging challenge of load balancing of networks for meeting up with highly demanding requirements (e.g., high performance, lower latency, high throughput, and high availability) of IoT and 5G network applications. For meeting up highly increasing demands, various proposal of load balancing techniques comes forward, in which highly dedicated balancers of loads are being required for ever service in some of them, or for every new service, manual recognition of device is required. In the conventional network, on the basis of the local information in the network, load balancing is being established. However, the production of more optimized load balancers and a global view for the network is being contained by SDN controllers. So, these well-known techniques are quite time-consuming, expensive and impractical as well as service types aren’t being considered by various existing load balancing schemes. Through this paper, researchers focus on an SDN based load balancing (SBLB) service, in which minimized response time and maximized resource utilization are being considered for the user on cloud servers. The proposed scheme is being constituted by an application module which runs along with a SDN controller and server pools that connect to the controller through SDN enabled switches. The application module contains a dynamic load balancing module, a monitoring module and a service classification module. All messages are being handled in real time and host pool are being maintained by the Controller. The performance of the proposed scheme has been validated by experimental results. Through various experiments, results are being concluded that usage of SBLB results in significant decrease in average response and reply time.

网络服务提供商面临的最大挑战是技术的日新月异，这使他们难以管理传统网络。每天的进步激励着供应商开发，部署和迁移其服务，安装新硬件，训练有素的人员以及升级基础架构，这涉及大量的成本和时间。这些频繁的更改要求一种新的网络体系结构，该体系结构支持未来的技术并解决所有这些问题，这些问题被称为软件定义的网络提案。正在生成大量数据，并且通过互联网，我们使用平板电脑，传感器和智能手机等智能设备以及物联网（IoT）概念与世界互动。随着不断的发展壮大，持续不断的异构和不断增长的服务需求。这导致出现新的网络负载平衡挑战，以满足IoT和5G网络应用程序的高要求（例如，高性能，低延迟，高吞吐量和高可用性）。为了满足日益增长的需求，提出了各种负载均衡技术的建议，其中对于某些负载中的每一项服务都需要高度专用的负载均衡器，或者对于每一项新服务，都需要人工识别设备。在常规网络中，基于网络中的本地信息，正在建立负载平衡。但是，SDN控制器正在包含更优化的负载均衡器和网络的全局视图。所以，这些众所周知的技术非常耗时，昂贵且不切实际，并且各种现有的负载平衡方案都没有考虑服务类型。通过本文，研究人员将重点放在基于SDN的负载平衡（SBLB）服务上，其中考虑了云服务器上用户的最小响应时间和最大资源利用率。所提出的方案由与SDN控制器一起运行的应用程序模块和通过启用SDN的交换机连接到控制器的服务器池组成。该应用模块包括动态负载均衡模块，监控模块和服务分类模块。所有消息均实时处理，并且主机池由Controller维护。实验结果验证了该方案的性能。通过各种实验，得出的结论是，使用SBLB会导致平均响应和回复时间显着减少。