A Collective Neurodynamic Approach to Survivable Virtual Network Embedding
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 3
Abstract
Network virtualization has attracted significant amount of attention in the last few years as one of the key features of cloud computing. Network virtualization allows multiple virtual networks to share physical resources of single substrate network. However, sharing substrate network resources increases impact of single substrate resource failure. One of the commonly applied mechanisms to protect against such failures is provisioning redundant substrate resources for each virtual network to be used to recover affected virtual resources. However, redundant resources decreases cloud revenue by increasing virtual network embedding cost. In this paper, a collective neurodynamic approach has been proposed to reduce amount of provisioned redundant resources and reduce cost of embedding virtual networks. The proposed approach has been evaluated by using simulation and compared against some existing survivable virtual network embedding techniques.
Authors and Affiliations
Ashraf A. Shahin
Efficiency in Motion: The New Era of E-Tickets
The development of mobile applications has played an important role in technology. Due to recent advances in technology, mobile applications are creating more attraction across the world. Mobile application is a very int...
Mobile Learning Application Development for Improvement of English Listening Comprehension
Trend towards English language learning has been increased because it is considered as Lingua franca i.e. language of communication for all. However students of Pakistan are behind in this pace, especially rural elementa...
Development of Purchasing Module for Agriculture E-Commerce using Dynamic System Development Model
Trading model has been changing since the vast implementation of Information and Communication Technology in every sector. This model is known as e-Commerce. Unlikely, there is still limited company which specifically tr...
AdviseMe: An Intelligent Web-Based Application for Academic Advising
The traditional academic advising process in many tertiary-level institutions today possess significant inefficiencies, which often account for high levels of student dissatisfaction. Common issues include high student-a...
Extreme Learning Machine and Particle Swarm Optimization for Inflation Forecasting
Inflation is one indicator to measure the development of a nation. If inflation is not controlled, it will have a lot of negative impacts on people in a country. There are many ways to control inflation, one of them is f...