Bandwidth allocation is an important and influential factor in enhancing the performance of the data centers’ nodes. In this paper we propose bwSlicer, a framework for bandwidth slicing in cloud data centers, that sheds light on the virtues of effective dynamic bandwidth allocation on improving the system performance and energy efficiency. Three algorithms are investigated to deal with this issue. In the first algorithm, called Fair Bandwidth Reallocation (FBR), two virtual machines co-hosted on the same node conditionally exchange bandwidth slices based on their requirements. The second algorithm, called Required Bandwidth Allocation (RBA), periodically monitors the co-hosted virtual machines and adds/removes bandwidth slices for each of them based on their bandwidth utilization. The third algorithm, called Divide Bandwidth Reallocation (DBR), divides the bandwidth of the virtual machine into slices once it finishes its execution, and distributes the slices among the co-hosted running virtual machines according to a specific policy. The proposed bandwidth slicing algorithms are emulated in a virtualized networking environment using the Mininet network emulator. The emulation results demonstrated a promising improvement ratio in execution time and energy consumption reaching up to 30%. These results present a call for action for further research into bandwidth slicing and reallocation as a viable complement to other energy-saving techniques for enhancing the energy consumption in cloud data centers.

带宽分配是提高数据中心节点性能的重要且有影响力的因素。在本文中，我们提出了bwSlicer，这是云数据中心中的带宽划分框架，它揭示了有效的动态带宽分配在改善系统性能和能源效率方面的优势。研究了三种算法来处理此问题。在称为公平带宽重新分配（FBR）的第一种算法中，共同驻留在同一节点上的两个虚拟机根据其需求有条件地交换带宽片。第二种算法称为“必需带宽分配（RBA）”，它定期监视共托管的虚拟机，并根据它们的带宽利用率为每个虚拟机添加/删除带宽片。第三种算法称为“划分带宽重新分配（DBR）”，一旦完成执行，就将虚拟机的带宽划分为多个片，并根据特定策略在共享托管的运行虚拟机之间分配切片。使用Mininet网络仿真器在虚拟化网络环境中仿真提出的带宽分配算法。仿真结果表明，执行时间和能耗方面的改进率均有望达到30％。这些结果呼吁采取行动，进一步研究带宽划分和重新分配，作为对其他节能技术的可行补充，以提高云数据中心的能耗。仿真结果表明，执行时间和能耗方面的改进率均有望达到30％。这些结果呼吁采取行动，进一步研究带宽划分和重新分配，作为对其他节能技术的可行补充，以提高云数据中心的能耗。仿真结果表明，执行时间和能耗方面的改进率均有望达到30％。这些结果呼吁采取行动，进一步研究带宽划分和重新分配，作为对其他节能技术的可行补充，以提高云数据中心的能耗。