Virtual bandwidth allocation game in data centers

Author(s):  
Cong Wang ◽  
Ying Yuan ◽  
Cuirong Wang ◽  
Xi Hu ◽  
Ce Zheng
2020 ◽  
Vol 76 (9) ◽  
pp. 7268-7289
Author(s):  
Kamalesh Karmakar ◽  
Rajib K. Das ◽  
Sunirmal Khatua

Author(s):  
Li Shi ◽  
Yang Liu ◽  
Junwei Zhang ◽  
Thomas G. Robertazzi

Author(s):  
K. A. Varun Kumar ◽  
D. Arivudainambi

<p>Software defined data centers (SDDC) and software defined networking (SDN) are two emerging areas in the field of cloud data centers. SDN based centrally controlled services takes a global view of the entire cloud infrastructure between SDDC and SDN, whereas Network Function Virtualization (NFV) is widely used for providing virtual networking between host and Internet Service Providers (ISP’s). Some Application as a Service used in NFV data centers have a wide range in building security services like Virtual firewalls, Intrusion Detection System (IDS), load balancing, bandwidth allocation and management. In this paper, a novel security framework is proposed to combat SDDC and SDN based on NFV security features. The proposed framework consists of a Virtual firewall and an efficient bandwidth manager to handle multiple heterogeneous application requests from different ISPs. Real time data were taken from an experiment for a week and A new simulation based proof of concept is admitted in this paper for validation of the proposed framework which was deployed in real time SDNs using Mininet and POX controller.</p>


2011 ◽  
Vol 23 ◽  
pp. 780-785 ◽  
Author(s):  
Cui-rong Wang ◽  
Kui Liu ◽  
Cong Wang

Author(s):  
A. Rethina Palin ◽  
I. Jeena Jacob

Wireless Mesh Network (MWN) could be divided into proactive routing, reactive routing and hybrid routing, which must satisfy the requirements related to scalability, reliability, flexibility, throughput, load balancing, congestion control and efficiency. DMN (Directional Mesh Network) become more adaptive to the local environments and robust to spectrum changes. The existing computing units in the mesh network systems are Fog nodes, the DMN architecture is more economic and efficient since it doesn’t require architecture- level changes from existing systems. The cluster head (CH) manages a group of nodes such that the network has the hierarchical structure for the channel access, routing and bandwidth allocation. The feature extraction and situational awareness is conducted, each Fog node sends the information regarding the current situation to the cluster head in the contextual format. A Markov logic network (MLN) based reasoning engine is utilized for the final routing table updating regarding the system uncertainty and complexity.


Author(s):  
N. Thirupathi Rao ◽  
Debnath Bhattacharyya ◽  
S. Naga Mallik Raj

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