Avoiding Network Polarization and Increasing Visibility in Cloud Networks Using Broadcom Smart-Hash Technology

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February 4th, 2013

By Broadcom

Today’s massive scale data centers offer high aggregate network bandwidth for large compute clusters. Fast, fat and flat networks are widely deployed with the more ubiquitous adoption of computer virtualization and the proliferation of clustered applications. Broadcom’s StrataXGS architecture-based Ethernet switches support the SmartSwitch series of technologies to ensure that such network infrastructure design requirements can be implemented comprehensively, cost-effectively and in volume scale. Broadcom’s Smart-Hash technology, part of SmartSwitch, implements several new hashing enhancements that improve network performance and overcome limitations imposed by traditional schemes. This white paper discusses current data center traffic trends, the implications of such and related enhancement featured in Smart-Hash technology.

Smart-Table Technology Enabling Very Large Server, Storage Nodes, and Virtual Machines to Scale Using Flexible Network Infrastructure Topologies

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January 7th, 2013

By Broadcom

A critical element of cloud network scalability is forwarding table size of data center network switches. Forwarding table size impacts data center scalability, that is the number of servers and virtual machines (VM) per server, the ability to load-balance and provide full cross-sectional bandwidth across switch links. In turn, these scalability elements directly impact application performance and mobility. VMs and server sprawl, plus increased use of tunneling or overlay technologies, further exacerbate scaling challenges. This white paper explores forwarding table size requirements in private and public cloud data center networks, and considers how such requirements affect the design of data center network switches. It also describes features that are enabled by Broadcom’s Smart-Table technology, part of Broadcom’s SmartSwitch series of technologies, engineered specifically to meet feature and scale requirements of cloud networks.