Research On Reliability And Latency Aware Mobile Edge Computing Offloading Scheme Based On Blockchain

Mobile edge computing is a solution that deploys computing and storage resources at the edge network to provide an IT service environment and computing capabilities,providing users with ultra-low latency and high-bandwidth network services.Computing offload is a key technology of MEC,which can provide computing resources for resource-constrained devices.The computing offload in MEC is to offload the computing tasks of the mobile terminal into the edge,which solves the deficiencies of the device in terms of resource storage,computing performance and energy efficiency.Mobile users generally believe that the results of computing offload are credible,but in fact edge servers have dishonest behaviors,which can cause reliability problems.There have been studies that have proposed non-interactive methods based on cryptography,but credible third parties are required for computational verification,and there is no complete detrusting for computational verification.This thesis proposes for the first time to replace the third-party with Blockchain to achieve the credible and reliable results,which the verification can be performed by the smart contracts of the Blockchain.This thesis implements the prototype,verifies the feasibility and experimentally analyzes the computational and time consumption of the framework.In order to reduce the time delay and ensure the reliability of computing offload after the introduction of the blockchain,some studies have proposed an optimization to minimize delay and maximize reliability.However,the reliability of the computing offload only considers the transmission reliability of the communication phase.In this thesis,the reliability and delay-aware computing offload problems are proposed based on the computational reliability framework.The reliability includes the transmission reliability in the communication phase,the computing time and the result reliability in the computing phase.This thesis proposes a heuristic algorithm to solve this optimization problem,and experimentally verifies that the proposed algorithm has lower time and higher reliability and lower joint cost compared with the traditional algorithm.