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SDN-Based Load Balancing Service for Cloud Servers

Abdelltif, Ahmed Abdelaziz ; Ahmed, Ejaz ; Fong, Ang Tang ; Gani, Abdullah ; Imran, Muhammad

IEEE communications magazine, 2018-08, Vol.56 (8), p.106-111

New York: IEEE

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  • Título:
    SDN-Based Load Balancing Service for Cloud Servers
  • Autor: Abdelltif, Ahmed Abdelaziz ; Ahmed, Ejaz ; Fong, Ang Tang ; Gani, Abdullah ; Imran, Muhammad
  • Assuntos: Cloud computing ; Control systems ; Dynamic loads ; Handles ; Load balancing ; Load management ; Pools ; Quality of service architectures ; Reconfiguration ; Resource management ; Response time ; Servers ; Software defined networking ; Switches ; Time factors
  • É parte de: IEEE communications magazine, 2018-08, Vol.56 (8), p.106-111
  • Descrição: With the continuous growth, heterogeneity, and ever increasing demand of services, load balancing of cloud servers is an emerging challenge to meet highly demanding requirements (e.g., data rates, latency, quality of service) of 5G network applications. Although various load balancing techniques have been proposed, some of these techniques either require installation of dedicated additional load balancers for each service, or manual reconfiguration of the device to handle new services is desired. These techniques are expensive, time-consuming, and impractical. Moreover, most of the existing load balancing schemes do not consider service types. This article presents an SDN-based load balancing (SBLB) service for cloud servers to maximize resource utilization and minimize response time of users. The constituents of the proposed scheme are an application module that runs on top of an SDN controller and server pools that connect to the controller through OpenFlow switches. The application module consists of a service classification module, a dynamic load balancing module, and a monitoring module. The controller handles all messages, manages host pools, and maintains the load of host in real time. Experimental results validate the performance of the proposed scheme. Through experimental results, SBLB demonstrates significant decrease in average response time and reply time.
  • Editor: New York: IEEE
  • Idioma: Inglês
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