International Journal of Applied Engineering Research, 2018
To achieve reliability, scalability, fault tolerance, and high network capacity for remote cloud ... more To achieve reliability, scalability, fault tolerance, and high network capacity for remote cloud application users, data center correlation failures must be prevented. Without system reliability of data center components and systems, an incremental traffic growth and high bandwidth requirements will constantly crash the system. In this paper, a new DCCN reliability ontology is presented for Non-recursive OpenFlow datacenter (NROD) network structure. The design exhibits acceptable performance enhancement with network component isolation and hazard function or failure rates. This behavior is of special significance for UNN shipping-container data centers, since once the container is encased and operational, troubleshooting or replacement of components becomes difficult. Using the ICT innovation center at the University of Nigeria-Nsukka, recursive BCube and DCell datacenters are identified and analyzed in the context of system reliability. Mathematical characterization on failure rate time curves/bathtub, reliability hazard function, failure rate modeling and mean time before failure (MTBF) are presented with respect to NROD proposal. Monte-Carlo sampling approach was employed in an experimental study with event scripts of Riverbed Modeller 17.5. In this case, recursive UNN DCell and BCube are compared with the proposed reliable NROD. These experiments covered several scenario-based cases to validate the achievement of reliability in DCCN. Using established network metrics, the work observed satisfactory QoS metrics for efficient deployment in any cloud based data center network.
International Journal of Applied Engineering Research, 2018
To achieve reliability, scalability, fault tolerance, and high network capacity for remote cloud ... more To achieve reliability, scalability, fault tolerance, and high network capacity for remote cloud application users, data center correlation failures must be prevented. Without system reliability of data center components and systems, an incremental traffic growth and high bandwidth requirements will constantly crash the system. In this paper, a new DCCN reliability ontology is presented for Non-recursive OpenFlow datacenter (NROD) network structure. The design exhibits acceptable performance enhancement with network component isolation and hazard function or failure rates. This behavior is of special significance for UNN shipping-container data centers, since once the container is encased and operational, troubleshooting or replacement of components becomes difficult. Using the ICT innovation center at the University of Nigeria-Nsukka, recursive BCube and DCell datacenters are identified and analyzed in the context of system reliability. Mathematical characterization on failure rate time curves/bathtub, reliability hazard function, failure rate modeling and mean time before failure (MTBF) are presented with respect to NROD proposal. Monte-Carlo sampling approach was employed in an experimental study with event scripts of Riverbed Modeller 17.5. In this case, recursive UNN DCell and BCube are compared with the proposed reliable NROD. These experiments covered several scenario-based cases to validate the achievement of reliability in DCCN. Using established network metrics, the work observed satisfactory QoS metrics for efficient deployment in any cloud based data center network.
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Papers by C.C Udeze