Research On Task Scheduling And Resource Allocation Technology In Mobile Edge Computing Environment

With the development of mobile internet,Mobile Edge Computing(MEC)has become a new mobile computing model.The MEC deploys computing and storage resources to the edge of the mobile network,and mobile device users perform tasks by migrating tasks to the MEC to reduce latency and reduce energy consumption.However,unreasonable task migration will cause a large amount of data transmission,which will not only reduce the service quality of mobile applications,but also increase the energy consumption of mobile devices and the execution time of tasks.Therefore,combining the workflow scheduling model with task migration has gradually become a new research hot spot.How to schedule workflow application tasks is directly related to the quality of service(Qo S)of mobile applications.MEC has been widely used because of its low latency and low power consumption.For example,more and more businesses are starting to build edge computing platforms that meet their application needs to store multimedia content(video,audio,photos,and text data)to edge servers.However,when transmitting and receiving multimedia data via a wireless network,both the Evolved Node B(e NB)and the User Equipment(UE)may experience severe malicious attacks,resulting in loss or leakage of private data,causing data security problems.In practical applications,security services are usually used to ensure data security,but different security services generate different security costs.How to minimize the energy consumption and delay while ensuring the security of data transmission has become another important part of MEC research.Based on the above understanding,this paper considers the problem of task offloading and multimedia data security transmission in MEC environment.The innovations and main work of this paper are reflected in the following aspects:(1)Aiming at the problem of computational unloading of workflow tasks under MEC,this paper proposes a workflow scheduling algorithm based on genetic algorithm,which aims to optimize the execution time of mobile services and the energy consumption of mobile devices.The method considers the dependency relationship between workflow tasks,and is combined with the scheduling process of workflow.the execution location and execution order of the workflow tasks are considered when formulating the coding strategy.The simulation results show that the proposed algorithm can effectively optimize the energy consumption of mobile devices and the completion time of workflow.(2)In order to solve the security problem of data transmission in MEC environment,this paper proposes a security and performance-aware resource allocation algorithm(Spara),which aims to increase the security of data transmission and reduce the energy consumption of UE.First,this paper builds a security architecture for enterprise multimedia data transmission.This architecture allocates two queues for each UE,namely front-end queue and back-end queue.Then,according to the random data request model of the UE,the Lyapunov stochastic optimization technique is applied to determine the computing resource allocation and the bandwidth resource allocation,where the computing resource allocation is used to implement the security service,and the wireless bandwidth resource allocation is used to implement the data transmission.Rigorous theoretical analysis shows that Spara algorithm comes with a [(1/(1),((1)] energy-delay tradeoff.Simulation experiments verify the results of theoretical analysis and prove the effectiveness of the Spara algorithm.