A Meta-Heuristic Computation Offloading Strategy for IoT Applications in an Edge-Cloud Framework
Xuezhen Huang, Yang Yang, Xinglu Wu · 2019
Edge-cloud computing provides performance guarantees for IoT applications which are real-time or security sensitive. The new placement of edge-cloud services leverages resources both in Cloud Data Centers (CDC) and at the edge of the network. A computation task can be divided into subtasks and offloaded to different edge/cloud servers, which are donated as offloading destinations. Offloading destination heterogeneity and different architecture of Edge Data Center (EDC) and CDC bring challenges to computation offloading. One critical issue in edge-cloud computing is energy consumption in computation offloading. The existing computation offloading strategies either ignored energy consumption or ignored delay and/or security constraints.