Analysis with Data Mining and Ant Colony Algorithm for Implementing of Object Pool Optimization

Haneef, Farha; Kushwaha, Ganesh Raj; Dubey, Ashutosh Kumar

doi:10.1109/csnt.2011.72

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…Ant colony algorithm is usually used in data mining and analysis [26] [27]. Additionally, it has been adapted for some cluster schemes in communication and network systems [28] [29].…”

Section: Ant Colony Algorithmmentioning

confidence: 99%

Big Data Analysis-Based Secure Cluster Management for Optimized Control Plane in Software-Defined Networks

Dong

Ota

et al. 2018

IEEE Trans. Netw. Serv. Manage.

178

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In software-defined networks (SDN), the abstracted control plane is its symbolic characteristic, whose core component is the software-based controller. The control plane is logically centralized, but the controllers can be physically distributed and composed of multiple nodes. To meet the service management requirements of large-scale network scenarios, the control plane is usually implemented in the form of distributed controller clusters. Cluster management technology monitors all types of events and must maintain a consistent global network status, which usually leads to big data in SDNs. Simultaneously, the cluster security is an open issue because of the programmable and dynamic features of SDNs. To address the above challenges, this paper proposes a big data analysis-based secure cluster management architecture for the optimized control plane. A security authentication scheme is proposed for cluster management. Moreover, we propose an ant colony optimization approach that enables big data analysis scheme and the implementation system that optimizes the control plane. Simulations and comparisons show the feasibility and efficiency of the proposed scheme. The proposed scheme is significant in improving the security and efficiency SDN control plane.

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“…Ant colony algorithm is usually used in data mining and analysis [26] [27]. Additionally, it has been adapted for some cluster schemes in communication and network systems [28] [29].…”

Section: Ant Colony Algorithmmentioning

confidence: 99%