Virtual network resources management: a divide-and-conquer approach for the control of future networks

Author(s):  
A.D.-S. Jun ◽  
A. Leon-Garcia
1997 ◽  
pp. 315-326 ◽  
Author(s):  
G. Woodruff ◽  
N. Perinpanathan ◽  
F. Chang ◽  
P. Appanna ◽  
A. Leon-Garcia

2014 ◽  
Vol 701-702 ◽  
pp. 1081-1087
Author(s):  
Wei Liu ◽  
Qiang Liu ◽  
Jian Wang

Communication network (CN) is the fundamental supporting network for communications systems, and products massive network resources in its construction and operation. Efficient organization and management of these resources is key issue to improve utilization of network resources and enhance overall performance of the CN. Based on the analysis of applying GIS on CN resources management, this paper studied key technical issues, design and implement the CN resources management system based on GIS, to improve the level of CN resources management and application.


2021 ◽  
Author(s):  
Ze Xi Xu ◽  
Lei Zhuang ◽  
Meng Yang He ◽  
Si Jin Yang ◽  
Yu Song ◽  
...  

Abstract Virtualization and resource isolation techniques have enabled the efficient sharing of networked resources. How to control network resource allocation accurately and flexibly has gradually become a research hotspot due to the growth in user demands. Therefore, this paper presents a new edge-based virtual network embedding approach to studying this problem that employs a graph edit distance method to accurately control resource usage. In particular, to manage network resources efficiently, we restrict the use conditions of network resources and restrict the structure based on common substructure isomorphism and an improved spider monkey optimization algorithm is employed to prune redundant information from the substrate network. Experimental results showed that the proposed method achieves better performance than existing algorithms in terms of resource management capacity, including energy savings and the revenue-cost ratio.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dashmeet Anand, Hariharakumar Narasimhakumar, Et al.

Service Function Chaining (SFC) is a capability that links multiple network functions to deploy end-to-end network services. By virtualizing these network functions also known as Virtual Network Functions (VNFs), the dependency on traditional hardware can be removed, hence making it easier to deploy dynamic service chains over the cloud environment. Before implementing service chains over a large scale, it is necessary to understand the performance overhead created by each VNF owing to their varied characteristics. This research paper attempts to gain insights on the server and networking overhead encountered when a service chain is deployed on a cloud orchestration tool such as OpenStack. Specifically, this research will measure the CPU utilization, RAM usage and System Load of the server hosting OpenStack. Each VNF will be monitored for its varying performance parameters when subjected to different kinds of traffic. Our focus lies on acquiring performance parameters of the entire system for different service chains and compare throughput, latency, and VNF statistics of the virtual network. Insights obtained from this research can be used in the industry to achieve optimum performance of hardware and network resources while deploying service chains.


Author(s):  
Zoran Despotovic ◽  
Xun Xiao ◽  
Ramin Khalili ◽  
Maja Curic ◽  
Artur Hecker

The authors see problems with current network control models. Their control networks (i.e., control channels, necessary for control operation) are not thought of as part of the control model itself. Current network control is not transactional. Network updates are neither atomic nor isolated, and the application is not aware of the details of an update outcome. This chapter presents an alternative design in which the control channel is an integral part of the network control model. Its key part is a robust, in-band resource connectivity layer that interconnects all available network elements, including the controller(s). The control is also transactional. Applications can safely assume that their updates will not clash in the network, as well as that they will always affect the right, intended fraction of the network. Building on these two postulates, the authors see service scheduling as its third essential part of network control. The scheduling takes service requirements into account and assigns the services network resources that will meet their requirements.


2010 ◽  
Vol 106 (9/10) ◽  
Author(s):  
Emmanuel A. Olajubu ◽  
Ganiyu A. Aderounmu ◽  
Emmanuel R. Adagunodo

2015 ◽  
Vol 42 (3) ◽  
pp. 1376-1390 ◽  
Author(s):  
Rashid Mijumbi ◽  
Juan-Luis Gorricho ◽  
Joan Serrat ◽  
Meng Shen ◽  
Ke Xu ◽  
...  

2015 ◽  
Vol 23 (4) ◽  
pp. 405-419
Author(s):  
R. L. Gomes ◽  
L. Bittencourt ◽  
E. Madeira ◽  
E. Cerqueira ◽  
M. Gerla

Sign in / Sign up

Export Citation Format

Share Document