BTI Intelligent Cloud Connect provides converged optical and LSR based architecture
that responds to the challenges of today’s metro data center networks.
Cloud computing, video streaming,
and social media are contributing to a dramatic rise in metro and regional
inter data center traffic that includes data center to data center, data center
to access networks and local traffic, and data center to peering and partner
traffic.
Inter data center network architectures
are being reconfigured to respond to the increased traffic volumes and changing
traffic patterns. The architectural challenges include cost effectively
accommodating rapidly expanding traffic volumes, providing network flexibility,
and supporting service innovation.
BTI Intelligent Cloud Connect
(ICC) is a converged optical, LSR and application-aware architecture that
responds to these challenges. The converged platform provides 10 Gbps and 100
Gbps DWDM wavelengths, MPLS Label Switch Router (LSR), and a Network Function
Virtualization-based (NFV) applications module. The LSR approach is optimized
for cloud connectivity applications.
ACG Research conducted a case
study of a typical metro data center network to compare the five-year total
cost of ownership of the BTI Intelligent Cloud Connect architecture with
two alternative solutions: 1) LSR Composite: separate LSR, transparent optical
transport, and network analytics platforms; 2) L3 Composite: separate L3
router, transparent optical transport, and network analytics platforms.
The case study shows that BTI’s
TCO for five years is 58 percent lower than the LSR Composite alternative and
71 percent lower than the L3 Composite alternative. BTI’s CapEx is 59 percent
lower than the LSR Composite alternative and 72 percent lower than the Layer 3
router alternative. BTI’s OpEx is 56 percent lower and 69 percent lower for the
LSR Composite and L3 Composite alternatives, respectively. Click here to download the TCO.
For more information about ACG’sbusiness case analysis consulting service, contact sales@acgresearch.net.
mkennedy@acgresearch.net
www.acgresearch
www.acgresearch