Energy-Aware Virtual Network Embedding Approach for Distributed Cloud

Abstract

Network virtualization has caught the attention of many researchers in recent years. It facilitates the process of creating several virtual networks over a single physical network. Despite this advantage, however, network virtualization suffers from the problem of mapping virtual links and nodes to physical network in most efficient way. This problem is called virtual network embedding (“VNE”). Many researches have been proposed in an attempt to solve this problem, which have many optimization aspects, such as improving embedding strategies in a way that preserves energy, reducing embedding cost and increasing embedding revenue. Moreover, some researchers have extended their algorithms to be more compatible with the distributed clouds instead of a single infrastructure provider (“ISP”). This paper proposes energy aware particle swarm optimization algorithm for distributed clouds. This algorithm aims to partition each virtual network request (“VNR”) to sub-graphs, using the Heavy Clique Matching technique (“HCM”) to generate a coarsened graph. Each coarsened node in the coarsened graph is assigned to a suitable data center (“DC”). Inside each DC, a modified particle swarm optimization algorithm is initiated to find the near optimal solution for the VNE problem. The proposed algorithm was tested and evaluated against existing algorithms using extensive simulations, which shows that the proposed algorithm outperforms other algorithms.

Authors and Affiliations

Amal S. Alzahrani, Ashraf A. Shahin

Keywords

Related Articles

Short Survey on Static Hand Gesture Recognition

This paper presents a survey of methods which have been recently proposed for recognizing static hand gestures. These approaches are first summarized and then are assessed based on a common dataset. Because mentioned met...

Map Reduce: A Survey Paper on Recent Expansion

A rapid growth of data in recent time, Industries and academia required an intelligent data analysis tool that would be helpful to satisfy the need to analysis a huge amount of data. MapReduce framework is basically desi...

An IoT based Warehouse Intrusion Detection (E-Perimeter) and Grain Tracking Model for Food Reserve Agency

Zambia’s agricultural sector through Food Reserve Agency (FRA) while still underdeveloped faces many challenges that range from marketing, spoilage, infestations, and theft at site, spillage and storage among others. The...

Corporate Responsibility in Combating Online Misinformation

In the age of mass information and misinformation, the corporate duty of developers of browsers, social media, and search engines are falling short of the minimum standards of responsibility. The tools and technologies a...

Successful Transmission Rate of Mobile Terminals with Agents in Segmented Ad Hoc Network

Mobile Wireless Ad-Hoc Network (MANET) is a special kind of network, where all of the nodes move in time. Random movement is the commonly used to model the mobility in this network. Beside as a host, each node is intend...

Download PDF file
  • EP ID EP262242
  • DOI 10.14569/IJACSA.2017.081031
  • Views 87
  • Downloads 0

How To Cite

Amal S. Alzahrani, Ashraf A. Shahin (2017). Energy-Aware Virtual Network Embedding Approach for Distributed Cloud. International Journal of Advanced Computer Science & Applications, 8(10), 239-246. https://europub.co.uk/articles/-A-262242