Abstract

Cyber-Physical-Social Systems (CPSS) integrates the cyber, physical and social spaces together. There are a large number of mobile users in CPSS that need low latency services. Fortunately, mobile edge computing (MEC) is a novel technology which can provide such services. The edge server plays a key role in MEC, but how to manage the edge server is an important challenge. For one thing, the number of cloudlets and the resource are limited. For another, the number of mobile devices (MDs) is very large and randomly distributed. And thus, how to determine the suitable number of cloudlets while serving the maximum number of MDs is significant. To this end, a new cloudlet placement method based on improved Affinity Propagation (AP) algorithm is proposed to solve the above problems. More specially, the improved AP algorithm can obtain the least number of cloudlets while covering the largest number of MDs. In addition, the load balancing strategy is used to ensure that the load of each cloudlet maintains a balanced state. Last but not the least, our proposed method can be used in scenarios where users move.

Highlights

  • Cyber-Physical-Social Systems (CPSS) integrates the cyber, physical and social spaces together

  • In CPSS, there are a large number of mobile devices (MDs) and some applications running in MDs may have various constraints, which requires to be served in low latency [7]–[13]

  • Different from the existing researches, in this paper, we focus on cloudlet placement for CPSS in wireless metropolitan area networks (WMAN) based on improved Affinity Propagation (AP) algorithm

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Summary

INTRODUCTION

Cyber-Physical-Social Systems (CPSS) integrates the cyber, physical and social spaces together. Cloudlet provides fast and low-latency service for the mobile users. It releases the burden of the remote cloud as it performs a large number of user tasks as an intermediate node between users and the cloud We must put a large number of cloudlets into the network to ensure most of the users can be served effectively. We propose a method called Affinity Propagation with Optimal Preference (APOP) for cloudlet placement.

RELATED WORK
THE BASIC STEP OF APOP
THE STRATEGY OF LOAD BALANCING
9: Using Dijkstra Algorithm to get the shortest trace
22: Repeat the step of 6 to 16
EXPERIMENTAL EVALUATION AND DISCUSSION
PERFORMANCE ANALYSIS
CONCLUSION
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