SDN-Based Load Balancing Service for Cloud Servers
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 hav...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
|
| Subjects: |
| _version_ | 1796961690727743488 |
|---|---|
| author | Abdelltif, Ahmed Abdelaziz Ahmed, Ejaz Ang, Tan Fong Gani, Abdullah Imran, Muhammad |
| author_facet | Abdelltif, Ahmed Abdelaziz Ahmed, Ejaz Ang, Tan Fong Gani, Abdullah Imran, Muhammad |
| author_sort | Abdelltif, Ahmed Abdelaziz |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:57:53Z |
| format | Article |
| id | um.eprints-22750 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:57:53Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | um.eprints-227502020-07-17T01:21:04Z http://eprints.um.edu.my/22750/ SDN-Based Load Balancing Service for Cloud Servers Abdelltif, Ahmed Abdelaziz Ahmed, Ejaz Ang, Tan Fong Gani, Abdullah Imran, Muhammad QA75 Electronic computers. Computer science 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. Institute of Electrical and Electronics Engineers (IEEE) 2018 Article PeerReviewed Abdelltif, Ahmed Abdelaziz and Ahmed, Ejaz and Ang, Tan Fong and Gani, Abdullah and Imran, Muhammad (2018) SDN-Based Load Balancing Service for Cloud Servers. IEEE Communications Magazine, 56 (8). pp. 106-111. ISSN 0163-6804, DOI https://doi.org/10.1109/MCOM.2018.1701016 <https://doi.org/10.1109/MCOM.2018.1701016>. https://doi.org/10.1109/MCOM.2018.1701016 doi:10.1109/MCOM.2018.1701016 |
| spellingShingle | QA75 Electronic computers. Computer science Abdelltif, Ahmed Abdelaziz Ahmed, Ejaz Ang, Tan Fong Gani, Abdullah Imran, Muhammad SDN-Based Load Balancing Service for Cloud Servers |
| title | SDN-Based Load Balancing Service for Cloud Servers |
| title_full | SDN-Based Load Balancing Service for Cloud Servers |
| title_fullStr | SDN-Based Load Balancing Service for Cloud Servers |
| title_full_unstemmed | SDN-Based Load Balancing Service for Cloud Servers |
| title_short | SDN-Based Load Balancing Service for Cloud Servers |
| title_sort | sdn based load balancing service for cloud servers |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT abdelltifahmedabdelaziz sdnbasedloadbalancingserviceforcloudservers AT ahmedejaz sdnbasedloadbalancingserviceforcloudservers AT angtanfong sdnbasedloadbalancingserviceforcloudservers AT ganiabdullah sdnbasedloadbalancingserviceforcloudservers AT imranmuhammad sdnbasedloadbalancingserviceforcloudservers |