A Scalable Multi-Stage Packet-Switch for Data Center Networks

The growing trends of data centers over last decades including social networking, cloud-based applications and storage technologies enabled many advances to take place in the networking area. Recent changes imply continuous demand for bandwidth to manage the large amount of packetized traffic. Cluster switches and routers make the switching fabric in a Data Center Network (DCN) environment and provide interconnectivity between elements of the same DC and inter DCs. To handle the constantly variable loads, switches need deliver outstanding throughput along with resiliency and scalability for DCN requirements. Conventional DCN switches adopt crossbars or/and blocks of memories mounted in a multistage fashion (commonly 2-Tiers or 3-Tiers). However, current multistage switches, with their space-memory variants, are either too complex to implement, have poor performance, or not cost effective. We propose a novel and highly scalable multistage switch based on Networkson- Chip (NoC) fabrics for DCNs. In particular, we describe a three-stage Clos packet-switch with a Round Robin packets dispatching scheme where each central stage module is based on a Unidirectional NoC (UDN), instead of the conventional singlehop crossbar. The design, referred to as Clos-UDN, overcomes shortcomings of traditional multistage architectures as it (i) Obviates the need for a complex and costly input modules, by means of few, yet simple, input FIFO queues. (ii) Avoids the need for a complex and synchronized scheduling process over a high number of input-output modules and/or port pairs. (iii) Provides speedup, load balancing and path-diversity thanks to a dynamic dispatching scheme as well as the NoC based fabric nature. Simulations show that the Clos-UDN outperforms some common multistage switches under a range of input traffics, making it highly appealing for ultra-high capacity DC networks

A Scalable Packet-Switch Architecture Based on OQ NoCs for Data Center Networks

Data Center switches need guarantee high throughput, resiliency and scalability for large-scale networks with constantly floating requirements. Multistage packet switches have been a pervasive solution to implement high-capacity Data Center Networks (DCNs) switches and routers. Yet, classical multistage switching architectures with their Space-Memory variants have shown limited performance. Most proposals prove either too complex to implement or not cost effective. In this paper, we present a highly scalable packet-switch for the DCN environment, in which we exploit the Network-on-Chip (NoC) design paradigm to replace the single-hop crossbars with multi-hop Switching Elements (SEs). In particular, we describe a three-stage switch with Output-Queued Unidirectional NoCs (OQ-UDN) in the central stage of the Clos-network. The design has several advantages over conventional multistage switches. First, it uses a simple Round-Robin (RR) packet dispatching scheme and avoids the need for complex and costly input modules. Besides, it offers better load balancing, a pipelined scheduling and more path-diversity. We assess the performance of the switch in terms of throughput, end-to-end latency and blocking probability using Markov chain analysis, and we propose an analytical model that integrates the various design parameters. Through extensive simulations, we show that the switching architecture achieves high performance under different types of traffic, and that both the analytical and experimental results correlate over wide range of evaluation settings

Distributed Collaborative Monitoring in Software Defined Networks

We propose a Distributed and Collaborative Monitoring system, DCM, with the following properties. First, DCM allow switches to collaboratively achieve flow monitoring tasks and balance measurement load. Second, DCM is able to perform per-flow monitoring, by which different groups of flows are monitored using different actions. Third, DCM is a memory-efficient solution for switch data plane and guarantees system scalability. DCM uses a novel two-stage Bloom filters to represent monitoring rules using small memory space. It utilizes the centralized SDN control to install, update, and reconstruct the two-stage Bloom filters in the switch data plane. We study how DCM performs two representative monitoring tasks, namely flow size counting and packet sampling, and evaluate its performance. Experiments using real data center and ISP traffic data on real network topologies show that DCM achieves highest measurement accuracy among existing solutions given the same memory budget of switches