Existing research work for virtual machine mapping problem mainly aims at improving the server resource and energy efficiency as the goal. This paper considered the impact of server and network devices' energy consumption in the virtual machine mapping process. Based on the definition of physical server, virtual machine resource and state, virtual machine mapping and network communication matrix, it modeled the virtual machine mapping problem which collaborative energy consumption optimization and network optimization. The problem was abstracted into the packing problem with multi-resource constraints and the QAP problem with quadratic allocation. It designed virtual machine mapping algorithm CSNEO based on ACO and local search algorithm 2-exchange to solve the problem. Compared with 4 algorithms such as MDBP-ACO and vector-VM, the experimental results show that: CSNEO algorithm achieves higher virtual machine mapping efficiency on the premise of sa-tisfying multi-dimensional resource constraints, while comparing with traditional virtual machine placement algorithm which only considers network optimization, CSNEO has better energy efficiency while realizing network optimization.

[2021-07-05] Printed Article /doc/2020.10.0384/v2