A Security-aware Workflow Scheduling Strategy for Edge-cloud Computing used in UVA Delivery System

Abstract

With the rapid development of e-commerce, the “last mile” of logistics delivery has the problems of low efficiency and high cost. UVA delivery system can overcome this bottleneck whose system is a business process system which requires massive resources and real-time response. Edge-cloud computing integrates the massive processing power of cloud computing with the advantages of low latency and localization of edge computing. However, energy of UVAs is limited and UVAs are vulnerable to attacks. To address such issues, this paper proposes a secure model based on edge-cloud computing. Second, a new fitness function is proposed to evaluate the energy consumption and the security of task execution. Finally, a security-aware energy-efficient multi-source workflow task scheduling strategy within response time constraint is proposed. The results show that our strategy can achieve the security requirement and has less energy consumption under the limitation of response time.