Browsing by Author "Gamage, N. D. U."

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    Resource Utilization based Load Balancing for a Virtualized Security Functions Platform
    (IEEE, 2021-12-01) Amarasinghe, D. A. H. M.; Rankothge, W. H.; Gamage, N. D. U.; Gamage, T. C. T.; Uwanpriya, S. D. L. S.; Jayasinghe, D.
    Cloud Service Providers (CSPs) are moving to a Software Defined Networks (SDN) based approach to managing their network infrastructure. The introduction of Virtualized Security Functions (VSFs) and offering them as a service has to make SDN more popular among CSPs because SDN brings advantages such as flexibility, elasticity, and easy management. When offering VSFs, resource management is one of the important aspects, especially considering the dynamic nature of the traffic, where traffic increases and decreases dynamically over time. In parallel to the traffic changes, resources also have to increase/ decrease and traffic load must be balanced over the resources. This research focuses on exploring a resource utilization-based load balancing algorithm, that considers memory and CPU utilization of the VSFs. We have used Mininet simulation to build an SDN-based cloud architecture with VSFs, and POX controller to explore the performances of the proposed algorithm, in terms of average workload and average response time. Our results show that the resource utilization-based load balancing algorithm balances the workload and traffic adequately, within an acceptable time.
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    Traffic Monitoring Related Experimental Study for a Software-Defined Network Based Virtualized Security Functions Platform
    (IEEE, 2021-12-01) Gamage, T. C. T.; Rankothge, W. H.; Gamage, N. D. U.; Jayasinghe, D; Uwanpriya, S. D. L. S.; Amarasinghe, D. A.
    Cloud computing and virtualization technologies are rapidly evolving with new capabilities being added all the time. Security Functions Virtualization (SFV) is the latest addition to cloud services, where Virtualized Security Functions (VSFs) are offered as services by Cloud Service Providers (CSPs). CSPs are focusing more on implementing effective resource management approaches for the cloud infrastructure, considering specific requirements of VSFs. Network traffic monitoring is one of the most crucial aspects of cloud resource management, as monitoring helps CSPs to have a global view of the resource utilization and take necessary proactive management actions, specifically for VSFs.This experimental study focuses on exploring network traffic and resource monitoring for the traffic traverse via a cloud platform where VSFs are offered as a service. We have considered two approaches: periodic monitoring and continuous monitoring. The network traffic is monitored continuously, and resource utilization is monitored periodically. With the implemented monitored framework, CSPs are able to take proactive decisions on resource management, specially towards scale-out/in decisions and security management.