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CECT: computationally efficient congestion-avoidance and traffic engineering in software-defined cloud data centers

M. M. Tajiki, B. Akbari, M. Shojafar, S. H. Ghasemi, M. L. Barazandeh, N. Mokari, L. Chiaraviglio, M. Zink
2018 Cluster Computing  
In this paper, a computationally efficient congestion avoidance scheme, called CECT, for software-defined cloud data centers is proposed.  ...  The proliferation of cloud data center applications and network function virtualization (NFV) boosts dynamic and QoS dependent traffic into the data centers network.  ...  More in detail, we introduce a dynamic and computationally efficient resource reallocation scheme called Computationally Efficient Congestion avoidance and Traffic Engineering (CECT) in which we guarantee  ... 
doi:10.1007/s10586-018-2815-6 fatcat:fjb6dujahnbgdj6ng4husdnbuy

Artificial intelligence enabled software-defined networking: a comprehensive overview

Majd Latah, Levent Toker
2019 IET Networks  
Software defined networking (SDN) represents a promising networking architecture that combines central management and network programmability.  ...  SDN separates the control plane from the data plane and moves the network management to a central point, called the controller, that can be programmed and used as the brain of the network.  ...  [155] introduced, CECT, a congestion avoidance scheme for SDN-based cloud data centres.  ... 
doi:10.1049/iet-net.2018.5082 fatcat:celiaiit7jhrfnufpoltuecf5y

Flexible deployment of component-based distributed applications on the Cloud and beyond

2019 KSII Transactions on Internet and Information Systems  
New experiments were conducted to validate the flexibility and portability of our approach in both Cloud and Fog environment.  ...  In an effort to minimize operational expenses and supply users with more scalable services, distributed applications are actually going towards the Cloud.  ...  In another direction for software-defined Cloud data centers, Tajiki et al. [18] propose CECT, a computationally efficient congestion avoidance scheme.  ... 
doi:10.3837/tiis.2019.03.002 fatcat:s3xygdbwkneczm43xssywvr2xu