arXiv 1609.093682016-09-29cs.NI

5G移动网络中的时限和预算约束自动缩放（DBCA）算法设计与分析

Design and Analysis of Deadline and Budget Constrained Autoscaling (DBCA) Algorithm for 5G Mobile Networks

Tuan Phung-Duc, Yi Ren, Jyh-Cheng Chen, Zheng-Wei Yu

备注：: The short version is accepted by IEEE CloudCom 2016. arXiv admin note: substantial text overlap with arXiv:1604.05803

摘要：

在云计算模式下，虚拟资源自动伸缩方法近年来得到了广泛的研究。这些方法动态地扩展/缩小虚拟资源来调整系统性能以节省操作成本。然而，在考虑传统网络设备的现有容量的同时，以有限的预算设计用于期望性能的自动缩放算法不是一项微不足道的任务。在本文中，我们提出了一个最后期限和预算约束的自动缩放（DBCA）算法，以解决性能权衡。我们开发了一个分析模型来量化权衡和交叉验证模型进行了广泛的模拟。结果表明，在给定预算上限的情况下，DBCA可以显著提高系统性能。此外，该模型提供了一种快速的方法来评估性能权衡和系统设计，而无需广泛部署，节省了成本和时间。

英文摘要：

In cloud computing paradigm, virtual resource autoscaling approaches have been intensively studied recent years. Those approaches dynamically scale in/out virtual resources to adjust system performance for saving operation cost. However, designing the autoscaling algorithm for desired performance with limited budget, while considering the existing capacity of legacy network equipment, is not a trivial task. In this paper, we propose a Deadline and Budget Constrained Autoscaling (DBCA) algorithm for addressing the budget-performance tradeoff. We develop an analytical model to quantify the tradeoff and cross-validate the model by extensive simulations. The results show that the DBCA can significantly improve system performance given the budget upper-bound. In addition, the model provides a quick way to evaluate the budget-performance tradeoff and system design without wide deployment, saving on cost and time.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。