Shangguang Wang

Publications
Influence

Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers

Shangguang Wang, Z. Liu, Zibin Zheng, Q. Sun, Fangchun Yang
Computer Science
International Conference on Parallel and…
2013

A critical research issue is to lower the energy consumption of a virtualized data center by means of virtual machine placement optimization while satisfying the resource requirements of the cloud services. Expand

Edge server placement in mobile edge computing

Shangguang Wang, Y. Zhao, J. Xu, J. Yuan, C. Hsu
Computer Science
J. Parallel Distributed Comput.
1 May 2019

We study the edge server placement problem in mobile edge computing environments for smart cities and show that our approach outperforms several representative approaches in terms of access delay and workload balancing. Expand

Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation Systems

Shangguang Wang, Zibin Zheng, Z. Wu, Michael R. Lyu, Fangchun Yang
Computer Science
IEEE Transactions on Services Computing
1 September 2015

We propose a novel reputation measurement approach for web service recommendations that can reduce the deviation of the reputation measurement and enhance the success ratio of the web service recommendation. Expand

An Energy-Aware Edge Server Placement Algorithm in Mobile Edge Computing

Y. Li, Shangguang Wang
Computer Science
IEEE International Conference on Edge Computing…
2 July 2018

We formulate the problem as a multi-objective optimization problem and devise a particle swarm optimization based energy-aware edge server placement algorithm to find the optimal solution. Expand

A Survey on Service Migration in Mobile Edge Computing

Shangguang Wang, Jinliang Xu, N. Zhang, Y. Liu
Computer Science
IEEE Access
18 April 2018

Mobile edge computing (MEC) provides a promising approach to significantly reduce network operational cost and improve quality of service (QoS) of mobile users by pushing computation resources to the network edges, and enables a scalable Internet of Things (IoT) architecture for time-sensitive applications (e-healthcare, real-time monitoring, and so on.). Expand

Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization

Ao Zhou, Shangguang Wang, +5 authors R. Buyya
Computer Science
IEEE Transactions on Services Computing
1 November 2017

This paper proposes a redundant VM placement optimization approach to enhancing the reliability of cloud services by exploiting the degree of redundancy. Expand

QoS prediction for service recommendations in mobile edge computing

Shangguang Wang, Y. Zhao, Lin Huang, Jinliang Xu, C. Hsu
Computer Science
J. Parallel Distributed Comput.
1 October 2017

We propose a service recommendation approach based on collaborative filtering and make QoS prediction based on user mobility. Expand

A Computation Offloading Algorithm Based on Game Theory for Vehicular Edge Networks

Y. Liu, Shangguang Wang, Jie Huang, Fangchun Yang
Computer Science
IEEE International Conference on Communications…
20 May 2018

We propose a computation offloading algorithm based on game theory in vehicular edge networks. Expand

Cloud model for service selection

Shangguang Wang, Zibin Zheng, Q. Sun, H. Zou, Fangchun Yang
Computer Science
IEEE Conference on Computer Communications…
10 April 2011

We propose an efficient and effective QoS-aware service selection approach that can provide reliable and efficient optimal service selection for users. Expand

Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing

Shangguang Wang, Z. Liu, Q. Sun, H. Zou, Fangchun Yang
Computer Science
J. Intell. Manuf.
1 April 2014

In this paper, we propose an accurate evaluation approach of QoCS in service-oriented cloud computing using fuzzy logic control. Expand

Recommended Authors