QoE Guarantee Scheme Based on Cooperative Cognitive Cloud and Opportunistic Weight Particle Swarm

Shi Wei-Hang

doi:10.1155/2015/398709

Abstract

It is well known that the Internet application of cloud services may be affected by the inefficiency of cloud computing and inaccurate evaluation of quality of experience (QoE) seriously. In our paper, based on construction algorithms of cooperative cognitive cloud platform and optimization algorithm of opportunities weight particle swarm clustering, the QoE guarantee mechanism was proposed. The mechanism, through the sending users of requests and the cognitive neighbor users’ cooperation, combined the cooperation of subcloud platforms and constructed the optimal cloud platform with the different service. At the same time, the particle swarm optimization algorithm could be enhanced dynamically according to all kinds of opportunity request weight, which could optimize the cooperative cognitive cloud platform. Finally, the QoE guarantee scheme was proposed with the opportunity weight particle swarm optimization algorithm and collaborative cognitive cloud platform. The experimental results show that the proposed mechanism compared is superior to the QoE guarantee scheme based on cooperative cloud and QoE guarantee scheme based on particle swarm optimization, compared with optimization fitness and high cloud computing service execution efficiency and high throughput performance advantages.

Highlights

With the rapid development of cloud computing technology and diversification of user requirements of mobile Internet, how to provide the scalable service and how to optimize the hardware and software platforms have been the hot research issue [1]
This paper puts forward a cloud theory-based particle swarm optimization (CTPSO) algorithm proposed by Ma and Xu [13], which is used to solve a variant of the vehicle routing problem
In view of the cooperative cognitive cloud platform, with the opportunity weight particle swarm optimization algorithm, the quality of experience (QoE) guarantee mechanism is established from the perspective of the user

Summary

Introduction

With the rapid development of cloud computing technology and diversification of user requirements of mobile Internet, how to provide the scalable service and how to optimize the hardware and software platforms have been the hot research issue [1]. About cooperative cognition technology and cloud computing algorithm, Kaewpuang et al [6] provided the guarantee of mobile applications by studying and sharing the radio and computing with mobile cloud computing environment. The spectrum leasing strategy based on cooperative relaying for cognitive radio networks was proposed in [9]. This paper puts forward a cloud theory-based particle swarm optimization (CTPSO) algorithm proposed by Ma and Xu [13], which is used to solve a variant of the vehicle routing problem. In view of the deficiency of the above research results, we studied the cloud platform construction method based on cooperative cognition of data processing units. We researched the optimization algorithm with opportunistic weight particle swarm.

Cooperative Cognitive Cloud Platform

Opportunistic Weight Particle Swarm

QoE Guarantee Scheme

Performance Evaluation

Conclusions