BLOC: A Generic Resource Allocation Framework for Hybrid Packet/Circuit-Switched Networks
BLOC: A Generic Resource Allocation Framework for Hybrid Packet/Circuit-Switched Networks
复制标题
BLOC：混合分组/电路交换网络的通用资源分配框架
DOI：
10.1364/jocn.8.000689
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发表时间：
2016
影响因子：
5
通讯作者：
Hu Weisheng
中科院分区：
文献类型：
--
作者：
Feng Zhangxiao;Sun Weiqiang;Hu Weisheng
在当前的互联网中，大流量与小流量共存，并且通常消耗网络带宽的很大比例。这对网络资源管理提出了挑战。近年来已经提出了各种混合交换架构，旨在解决这一挑战并提高能源效率和资源利用率。然而，仍然需要用于设计和确定多个交换平面中的资源的规模以及理解不同业务模式下的系统行为的手段。在本文中，我们提出了一个框架，我们称之为阻塞损失曲线（BLOC），以解决混合交换系统中的资源分配问题。BLOC可以捕获混合交换系统在考虑分组丢失和请求阻塞的不同资源分配解决方案下的行为。该框架还允许我们确定资源分配的可行区域，该区域可以同时满足分组丢失和请求阻塞的要求。可以基于该可行区域找到最优资源分配策略。我们还研究了BLOC在特定混合交换系统中的应用，其中分组交换包括具有主动队列管理的TCP流，而电路交换是单粒度的，例如，光路切换数值结果表明，如何流动特性和系统参数可能会影响可行域和资源的最优分配。
In the current Internet, large flows co-exist with small flows and often consume a significant proportion of the network bandwidth. This imposes a challenge on network resource management. Various hybrid switching architectures have been proposed in recent years, aiming to address this challenge and improve energy efficiency and resource utilization. However, there is still a need for means for the design and dimensioning of resources in multiple switching planes and understanding the system behavior under different traffic patterns. In this paper, we propose a framework that we call the blocking-loss curve (BLOC) to address the resource allocation problem in hybrid switching systems. BLOC can capture the behavior of hybrid switching systems under different resource allocation solutions considering packet loss and request blocking. This framework also allows us to identify the feasible region for resource allocation, which can satisfy both the packet loss and request blocking requirements. An optimal resource allocation strategy may be found based on this feasible region. We also study the application of BLOC to a specific hybrid switching system, where packet switching comprises TCP flows with active queue management, and circuit switching is single granular, e.g., lightpath switching. Numerical results demonstrate how the flow characteristics and system parameters may affect the feasible region and the optimal allocation of resources.