A Multi-Scale Fusion Network Simulation Task Mapping Method in Heterogeneous Environment

Abstract

The invention discloses a multi-scale fusion network simulation task mapping method in a heterogeneous environment, which solves the deployment problem of a virtual network topology in a heterogeneous computing cluster environment. The steps of the method include: reading into a heterogeneous computing environment; Mark the edge routers and host nodes in the topology as lightweight virtualization mapping areas, and mark the remaining nodes as converged virtualization mapping areas; according to the throughput threshold of each server, use lightweight virtualization mapping for lightweight virtualization mapping Nodes in the area; calculate the load balance parameters of the remaining servers, use the multi-level graph partition algorithm to allocate nodes in the fusion mapping area, judge whether the server is redundant, and use different optimization algorithms to optimize and map reasonably according to the results. The invention ensures load balance between computing clusters, reduces remote communication, improves the performance of large-scale network simulation, and has good scalability and scalability for large-scale network topology, and can be used for various network research and experimental networks.

Description

technical field [0001] The invention relates to the technical field of network simulation, in particular to a multi-scale fusion network simulation task mapping method in a heterogeneous environment. Background technique [0002] Currently, the cloud platform based on virtualization has become the mainstream support platform for network simulation: compared with traditional network simulation technology, this technology can provide a more realistic simulation environment, and compared with physical test bed, this technology can easily simulate large-scale networks. The network and information system security assessment platform is a strong support for network security assessment and computer system security assessment, and network simulation technology is the cornerstone of the entire platform. Facing the needs of large-scale and high-fidelity network simulation, the simulation technology based on cloud platform and virtualization has become a trend. Full virtualization is...

AI Technical Summary

Problems solved by technology

Docker routers and KVM routers have their own advantages and disadvantages. Generally speaking, KVM has high throughput, short delay, and stable performance. Therefore, the number of KVM routers that can be started by a computing node is small; while the DOCKER router starts quickly and is not limited by the memory size and the number of CPUs. Thousands of DOCKER routers can run on a high-performance computing node at the same time, and In the case of multiple Dockers working, it can achieve load balancing, but the performance is affected by the number of startups, and the throughput is small and the delay is slightly longer.

Images