发布时间：2025-04-30

论文名称：Deadlock-free migration for Virtual Machine Consolidation using Chicken Swarm Optimization Algorithm

发表刊物：Journal of Intelligent and Fuzzy Systems

摘要：.  Consolidation of services is one of the key problems in cloud data centers. It consists of two separate but related issues: Virtual machine (VM) placement and VM migration problems. In this paper, a VM consolidation scheme is proposed that turns the vir-tual machine consolidation (VMC) problem into a vector packing optimization problem based on deadlock-free migration (DFM) to minimize the energy consumptions. To solve this NP-hard and computationally infeasible for large data centers problem, a novel algorithm named Chicken Swarm Optimization based on deadlock-free migration (DFM-CSO) algorithm is proposed. The DFM-CSO algorithm is characterized by the ‘one-step look-ahead with n-VMs migration in parallel (OSLA-NVMIP)’ method, which carries out the VM migration validation and the rearrangement of target physical host, as well as records the migration order for each solution placement, so that VM transfer can be completed according to the migration sequence. The experimental results, for both real and synthetic datasets, show that the proposed algorithm with higher convergence rate is favourable in comparison with the other deadlock-free migration algorithms.

合写作者：田锋，张嵘，Jacek L., Chao. KM等

卷号：00

页面范围：00

是否译文：否

发表时间：2016-09-01