基于蚁群算法的虚拟机安全迁移

P. Charles, U. L. Stanislaus
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引用次数: 0

摘要

采用启发式算法解决虚拟机整合问题。解决这个问题的一个众所周知的方法是装箱法。这种方法被认为是NP-hard。还有很多其他的启发式算法可以解决这个问题。这个问题可以毫不费力地处理一维箱包装m。在箱包装中,很少有方法用来有效地包装空箱。首次拟合(First Fit, FF)装箱算法是目前最流行、最有效的空箱装箱方法之一。在这里,FF算法将可用的物品打包到第一个适合容纳的箱子中。最佳匹配算法将物品放入最大负载中,而不是像第一匹配算法那样放在第一个箱子中。这两种方法通过对算法进行小的修改而得到增强,分别被命名为First Fit reduction (FFD) method和Best Fit reduction (BFD) method。这些方法不能直接用于VM整合。在申请这个问题之前,我必须进行适当的修改。此外,在执行迁移算法之前,考虑物理机(PM)没有任何虚拟机(VM),并且数据中心的利用率由VM请求的数量和服务器请求的数量来管理。虚拟机的能耗主要考虑的是CPU利用率,而不是带宽和内存。作者着重于CPU利用率,以尽量减少能耗。
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Secure Virtual Machine Migration using Ant Colony Algorithm
Heuristic algorithms are used solve the VM consolidation. One of the well-known approaches to solve this issue is bin packing method. This method is considered as NP-hard. There are quite number of other heuristics algorithm available to address this issue. This problem can be handled effortlessly with one dimensional bin packing m. In Bin Packing there are few methods used to pack the empty bins efficiently. First Fit (FF) Bin packing algorithm is one of most popular and efficient method to pack the empty bins. Here, FF algorithm packs available items into first bin where it aptly accommodates. Best Fit algorithm places an item into a maximum load instead of placing in the first bin like First Fit algorithm. These two methods are enhanced by making small alteration in the algorithm which are named as First Fit Decreasing (FFD) method and Best Fit Decreasing (BFD) method. These methods could not be implemented straightaway for VM consolidation. This must me altered appropriately before applying for this issue. In addition, consider that physical machines (PM) don’t have any virtual machines (VM) before executing the migration algorithm and also the utilization of the datacenters is managed by the number of VM’s request and server’s request. The energy consumption of the VM’s is majorly considers the CPU utilization instead of bandwidth and memory. The authors concentrate on CPU utilization rate to minimize the energy consumption.
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