Green mobile edge network(GMEN) is an emerging distributed network that uses renewable green energy as the main energy source for edge nodes to operate, thereby reducing energy acquisition from the power grid. In GMEN, network service providers can form a service function chain(SFC) of multiple virtual network functions(VNF) in a specific order to process user requests. These VNFs can flexibly deploy in the form of software instances on edge nodes to efficiently utilize green energy. To ensure the latency and reliability requirements of the service, it is necessary to deploy multiple backup VNFs(BVNF) on nodes within a k-hop range of VNF, to replace it in providing services that meet the latency requirements in the event of VNF failure. However, the green energy collected by each geographically dispersed edge node is dynamically changing. If the collected energy of nodes around the VNF decreases and is less than the energy consumption required to operate the BVNF, the node needs to harvest additional energy from the grid to guarantee its operation. Therefore, developing an online joint deployment plan for VNF and BVNF based on the green energy collected by nodes and the energy rate consumed by computing, communication, and other resources is an NP-hard problem, which minimizes the energy obtained by edge nodes from the power grid while ensuring service latency and reliability requirements. At present, there are many studies on this issue and certain achievements have been made, but there are still some problems in practical applications. To further promote research in this field, this paper analyzed, summarized the latest research achievements in recent years, and compared their advantages and disadvantages, and provided prospects for future work.

[2023-07-10] Accepted Paper /doc/2023.03.0161/v1

[2023-12-05] Printed Article /doc/2023.03.0161/v2