Accessibility navigation

Acceleration and visualization of Dynamic Network Optimization

Ye, Y., Cadenas Medina, J. and Megson, G. (2014) Acceleration and visualization of Dynamic Network Optimization. In: International Conference on Computing, Networking and Communications (ICNC), 3-6 Feb. 2014, Honolulu, HI, pp. 726-730.

Text - Accepted Version
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Official URL:


With the emerging prevalence of smart phones and 4G LTE networks, the demand for faster-better-cheaper mobile services anytime and anywhere is ever growing. The Dynamic Network Optimization (DNO) concept emerged as a solution that optimally and continuously tunes the network settings, in response to varying network conditions and subscriber needs. Yet, the DNO realization is still at infancy, largely hindered by the bottleneck of the lengthy optimization runtime. This paper presents the design and prototype of a novel cloud based parallel solution that further enhances the scalability of our prior work on various parallel solutions that accelerate network optimization algorithms. The solution aims to satisfy the high performance required by DNO, preliminarily on a sub-hourly basis. The paper subsequently visualizes a design and a full cycle of a DNO system. A set of potential solutions to large network and real-time DNO are also proposed. Overall, this work creates a breakthrough towards the realization of DNO.

Item Type:Conference or Workshop Item (Paper)
ID Code:39918
Uncontrolled Keywords:Dynamic Network Optimization, Self-Organizing Network, Self-Optimization, Mobile Network Optimization Algorithms, Cloud Parallelization, Inter Process Communication


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation