Runtime Resource Allocation Model over Network Processors

Khalil Blaiech, Omar Mounaouar, O. Cherkaoui, Ludovic Béliveau
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引用次数: 2

Abstract

Delivering high performance when several virtual nodes share the same physical resources requires finding the optimal resource allocation between them. In the context of Software Defined Network (SDN) and Network Virtualization, data plane requires the design of a new and more flexible flow packet processing. Virtual nodes involves several packet processing functions such as search operations in different data structures, processing the packets by modifying their respective contents and buffering them. Each packet processing requires a set of shared resources. If there is a conflict for a given resources, resource reassignment strategy is needed to ensure the continuity of the processing and solve resource congestion in accordance with the available hardware resources. In this paper, we propose a resource allocation strategy to share fairly the network processor resources. It is based on network calculus model and game theory algorithms. This strategy maps dynamically the suitable resources according to virtual nodes processing. In our implementation, we focus on packet processing tasks in regard to OpenFlow forwarding model within several processors to reassign resources.
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基于网络处理器的运行时资源分配模型
当多个虚拟节点共享相同的物理资源时,要实现高性能,需要在多个虚拟节点之间找到最优的资源分配。在软件定义网络(SDN)和网络虚拟化的背景下,数据平面要求设计一种新的、更灵活的流数据包处理方式。虚拟节点涉及多个包处理功能,如在不同的数据结构中进行搜索操作,通过修改各自的内容来处理包并对其进行缓冲。每个包处理都需要一组共享资源。当给定资源发生冲突时,需要采用资源重新分配策略,以保证处理的连续性,并根据可用的硬件资源解决资源拥塞问题。本文提出了一种公平共享网络处理器资源的资源分配策略。它是基于网络演算模型和博弈论算法。该策略根据虚拟节点的处理动态映射合适的资源。在我们的实现中,我们将重点放在关于OpenFlow转发模型的数据包处理任务上,以便在多个处理器中重新分配资源。
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