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Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers
TLDR
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
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Edge server placement in mobile edge computing
TLDR
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
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Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation Systems
TLDR
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
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An Energy-Aware Edge Server Placement Algorithm in Mobile Edge Computing
TLDR
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
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A Survey on Service Migration in Mobile Edge Computing
TLDR
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
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Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization
TLDR
This paper proposes a redundant VM placement optimization approach to enhancing the reliability of cloud services by exploiting the degree of redundancy. Expand
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QoS prediction for service recommendations in mobile edge computing
TLDR
We propose a service recommendation approach based on collaborative filtering and make QoS prediction based on user mobility. Expand
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A Computation Offloading Algorithm Based on Game Theory for Vehicular Edge Networks
TLDR
We propose a computation offloading algorithm based on game theory in vehicular edge networks. Expand
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Cloud model for service selection
TLDR
We propose an efficient and effective QoS-aware service selection approach that can provide reliable and efficient optimal service selection for users. Expand
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Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing
TLDR
In this paper, we propose an accurate evaluation approach of QoCS in service-oriented cloud computing using fuzzy logic control. Expand
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