基于ocs的数据中心网络中风险感知的连接碎片整理

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xiaoyan Dong;Xiaoliang Chen;Zuqing Zhu
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引用次数: 0

摘要

在基于光电路交换的数据中心网络(ODCN)中,由于业务量的动态变化,会使其光链路的利用变得碎片化,从而降低ODCN的业务发放效率。因此,连接碎片整理变得势在必行。然而,将流量整合到更少的连接上可能会单方面增加带宽争用的风险,并破坏odcn对意外流量突发的健壮性。为了解决这个问题,我们提出了风险感知连接碎片整理(RA-cDF),它探索了ODCN的拓扑灵活性,以整合流量,这样通过光电路交换(OCS)交换机的有源光连接可以最小化,同时剩余连接的未来带宽争用风险也可以最小化。我们建立了一个混合整数线性规划(MILP)模型来精确地解决RA-cDF问题,然后采用启发式方法来求解该问题。大量的仿真验证了我们的建议的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Risk-Aware Connection Defragmentation in OCS-Based Data-Center Networks
The dynamic traffic changes in an optical circuit switching based data-center network (ODCN) can make the utilization of its optical connections fragmented, degrading the efficiency of service provisioning in the ODCN. Consequently, connection defragmentation becomes imperative. However, consolidating traffic onto fewer connections may unilaterally add the risk of bandwidth contention and undermine ODCNs’ robustness against unexpected traffic bursts. To address this issue, we propose risk-aware connection defragmentation (RA-cDF), which explores the topology flexibility of ODCN to consolidate traffic such that the active optical connections through optical circuit switching (OCS) switches can be minimized together with the risk of future bandwidth contention on remaining connections. We formulate a mixed integer linear programming (MILP) model to address the RA-cDF problem exactly, followed by a heuristic to solve it time-efficiently. Extensive simulations confirm the effectiveness of our proposals.
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来源期刊
IEEE Transactions on Network and Service Management
IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
15.10%
发文量
325
期刊介绍: IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.
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