Dynamic Cloud Network Control Under Reconfiguration Delay and Cost
Dynamic Cloud Network Control Under Reconfiguration Delay and Cost
复制标题
重配置延迟和成本下的动态云网络控制
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
T. Javidi
中科院分区：
文献类型：
--
作者：
Chang;Jaime Llorca;A. Tulino;T. Javidi
网络虚拟化和可编程性使运营商能够在公共物理基础设施上部署各种服务，并根据不断变化的需求灵活分配云和网络资源。虽然虚拟资源的弹性重新配置使得能够动态地缩放容量以便以最小的操作成本支持服务需求，但是重新配置操作使得资源在给定时间段期间不可用并且可能招致额外的成本。在本文中，我们解决了不可忽略的重构延迟和成本下的动态云网络控制问题。我们表明，虽然容量区域保持不变，无论重新配置延迟/成本值，重新配置不可知的政策可能无法保证吞吐量最优和最小成本下的非零重新配置延迟/成本。然后，我们提出了一种自适应动态云网络控制策略，允许网络节点进行本地流调度和资源分配决策，同时控制重新配置的频率，以支持在容量区域中的任何输入速率，并实现任意接近最小成本的任何有限的重新配置延迟/成本值。
Network virtualization and programmability allow operators to deploy a wide range of services over a common physical infrastructure and elastically allocate cloud and network resources according to changing requirements. While the elastic reconfiguration of virtual resources enables dynamically scaling capacity in order to support service demands with minimal operational cost, reconfiguration operations make resources unavailable during a given time period and may incur additional cost. In this paper, we address the dynamic cloud network control problem under non-negligible reconfiguration delay and cost. We show that while the capacity region remains unchanged regardless of the reconfiguration delay/cost values, a reconfiguration-agnostic policy may fail to guarantee throughput-optimality and minimum cost under nonzero reconfiguration delay/cost. We then present an adaptive dynamic cloud network control policy that allows network nodes to make local flow scheduling and resource allocation decisions while controlling the frequency of reconfiguration in order to support any input rate in the capacity region and achieve arbitrarily close to minimum cost for any finite reconfiguration delay/cost values.
DOI：
10.1145/3084041.3084065
发表时间：
2017-01
期刊：
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing
影响因子：
--
作者：
Ping-Chun Hsieh;Xi Liu;Jian Jiao;I.-Hong Hou;Yunlong Zhang;P. Kumar
通讯作者：
Ping-Chun Hsieh;Xi Liu;Jian Jiao;I.-Hong Hou;Yunlong Zhang;P. Kumar
DOI：
10.1109/tnet.2018.2869874
发表时间：
2018-08
期刊：
IEEE/ACM Transactions on Networking
影响因子：
--
作者：
Subhashini Krishnasamy;P. Akhil;A. Arapostathis;R. Sundaresan;S. Shakkottai
通讯作者：
Subhashini Krishnasamy;P. Akhil;A. Arapostathis;R. Sundaresan;S. Shakkottai