Other

National University of Defense Technology

Siyuan Gu

Deke Guo

Yang Guo

Lailong Luo

Long Zheng

Xinyi Li

Junxu Xia

Junjie Xie

Jiangfan Li

Chendie Yao

A Mobile-Assisted edge computing framework including: one or more requests to be processed; an operator configured to assign the one or more requests to a static edge node; and a cloud configured to cache and pre-fetch services for the one or more requests; wherein the one or more requests include handled requests and unhandled requests, the static edge node is configured to process the handled requests, and one or more mobile edge nodes are configured to process the unhandled requests; and wherein the static edge node is configured to auction the unhandled requests to the one or more mobile edge nodes, the auction including: generating a candidate set of the one or more mobile edge nodes; assigning an unhandled request to a target mobile edge node of the candidate set; and processing the unhandled request via the target mobile edge node.

Mobile-assisted edge computing framework for emerging IoT applications

Provided are a method, an apparatus, and an electronic device for request scheduling of hybrid edge computing, wherein the request scheduling method includes: obtaining situations of a topological structure, computing resources and communication resources of a communication network; determining the number of hybrid edge servers placed in the communication network; dividing a problem of an optimal request scheduling path of the hybrid edge server into sub-problems of Mixed-Integer Non-Linear Programming (MINLP) models according to the situations of the topological structure, the number, the computing resources and the communication resources of the network; establishing the MINLP model according to the sub-problems respectively; converting the MINLP model into a Mixed-Integer Linear Programming (MILP) equation; and solving the MILP equation to obtain a placement node of the hybrid edge server and a target server for processing communication requests. The request scheduling method improves a request scheduling efficiency.

Method, apparatus, device and storage medium for request scheduling of hybrid edge computing

Provided are a robustness verification method and apparatus for a distributed control plane in a software-defined network, including constructing a robustness verification framework, where the robustness verification framework accommodates a failure scenario set and a failure recovery strategy set; selecting a failure recovery strategy, and querying a worst failure scenario under the failure recovery strategy; verifying a utilization rate of a biggest controller in the control plane under the combination of the worst failure scenario and the failure recovery strategy; and verifying the robustness of the control plane based on the utilization rate. The verification problem of the control plane is taken as a robustness optimization problem under different failure cases and failure recovery strategies. After the failure recovery strategy is selected, the worst failure scenario is obtained to determine whether the performance of the control plane satisfies requirements.

Robustness verification method and apparatus for distributed control plane in software-defined network

Growing community of inventors

Changsha, China

Siyuan Gu