TY - GEN
T1 - An intelligent load balancer for software defined networking (SDN) based cloud infrastructure
AU - Govindarajan, Kannan
AU - Kumar, Vivekanandan Suresh
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/21
Y1 - 2017/11/21
N2 - Cloud technology is an emerging distributed computing paradigm. It provides Cloud consumers with on-demand computing, storage, and networking resources. A Cloud Resource Broker (CSB) acts as a mediator between cloud consumers and cloud providers. It effectively handles application requests and efficiently allocates cloud resources. Generally, CSB encounters large volumes of application requests. It is essential to properly and evenly distribute these application requests between the available cloud resources. The proposed work introduces a Particle Swarm Optimization (PSO) based load balancing technique, which distributes cloud consumer application requests in an optimal and balanced manner. In addition, the present study investigates the Software-Defined Networking (SDN) cloud infrastructure, which dynamically configures and provides network paths on-demand, based on the network load. The proposed system is simulated and tested on real-world application traces. The proposed PSO based load balancing mechanism is shown to minimize average application response time, while maximizing throughput, cloud consumer satisfaction value, and resource utilization.
AB - Cloud technology is an emerging distributed computing paradigm. It provides Cloud consumers with on-demand computing, storage, and networking resources. A Cloud Resource Broker (CSB) acts as a mediator between cloud consumers and cloud providers. It effectively handles application requests and efficiently allocates cloud resources. Generally, CSB encounters large volumes of application requests. It is essential to properly and evenly distribute these application requests between the available cloud resources. The proposed work introduces a Particle Swarm Optimization (PSO) based load balancing technique, which distributes cloud consumer application requests in an optimal and balanced manner. In addition, the present study investigates the Software-Defined Networking (SDN) cloud infrastructure, which dynamically configures and provides network paths on-demand, based on the network load. The proposed system is simulated and tested on real-world application traces. The proposed PSO based load balancing mechanism is shown to minimize average application response time, while maximizing throughput, cloud consumer satisfaction value, and resource utilization.
KW - Cloud Infrastructure
KW - Load Balancer
KW - NP-complete
KW - Software-Defined Networking (SDN)
KW - Swarm Intelligence
UR - http://www.scopus.com/inward/record.url?scp=85040634567&partnerID=8YFLogxK
U2 - 10.1109/ICECCT.2017.8117881
DO - 10.1109/ICECCT.2017.8117881
M3 - Published Conference contribution
AN - SCOPUS:85040634567
T3 - Proceedings of the 2017 2nd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2017
BT - Proceedings of the 2017 2nd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2017
T2 - 2nd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2017
Y2 - 22 February 2017 through 24 February 2017
ER -