Thursday, December 27, 2012
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IEEE Dot Net Project - AMPLE: An Adaptive Traffic Engineering System Based on Virtual Routing Topologies
AMPLE: An Adaptive
Traffic Engineering System Based on
Virtual Routing
Topologies
Abstract
Handling traffic dynamics in order
to avoid network congestion and subsequent service disruptions is one of the
key tasks performed by contemporary network management systems. Given the
simple but rigid routing and forwarding functionalities in IP base
environments, efficient resource management and control solutions against
dynamic traffic conditions is still yet to be obtained. In this article, we
introduce AMPLE — an efficient traffic engineering and management system that
performs adaptive traffic control by using multiple virtualized routing
topologies. The proposed system consists of two complementary components: offline
link weight optimization that takes as input the physical network
topology and tries to produce maximum routing path diversity across multiple
virtual routing topologies for long term operation through the optimized
setting of link weights. Based on these diverse paths, adaptive traffic control
performs intelligent traffic splitting across individual routing topologies
in reaction to the monitored network dynamics at short timescale. According to
our evaluation with real network topologies and traffic traces, the proposed
system is able to cope almost optimally with unpredicted traffic dynamics and,
as such, it constitutes a new proposal for achieving better quality of service
and overall network performance in IP networks.
Architecture
Existing system
In Existing System, IGP-based TE
mechanisms are only confined to offline operation and hence cannot cope
efficiently with significant traffic dynamics. There are well known reasons for
this limitation: IGP-based TE only allows for static traffic delivery through
native IGP paths, without flexible traffic splitting for dynamic load
balancing. In addition, changing IGP link weights in reaction to emerging
network congestion may cause routing re-convergence problems that potentially
disrupt ongoing traffic sessions. In effect, it has been recently argued that
dynamic/online route re computation is to be considered harmful even in the
case of network failures, let alone for dealing with traffic dynamics.
Proposed System
In
proposed system consists of two complementary components: offline link
weight optimization that takes as input the physical network topology and tries
to produce maximum routing path diversity across multiple virtual routing topologies
for long term operation through the optimized setting of link weights. Based on
these diverse paths, adaptive traffic control performs
intelligent traffic splitting across individual routing topologies in reaction to
the monitored network dynamics at short timescale.
According to our evaluation with
real network topologies and traffic traces, the proposed system is able to cope
almost optimally with unpredicted traffic dynamics and, as such, it constitutes
a new proposal for achieving better quality of service and overall network
performance in IP networks.
Modules
1. Virtual traffic allocation
2.
Offline Link Weight Optimization
3.
Network Monitoring
4.
Adaptive Traffic Control
Virtual Traffic Allocation
In
this Module, the diverse MT-IGP paths according to the link weights computed by
OLWO. Monitored network and traffic data such as incoming traffic volume and
link utilizations. At each short-time interval, ATC computes a new traffic
splitting ratio across individual VRTs for re-assigning traffic in an optimal
way to the diverse IGP paths between each S-D pair. This functionality is handled
by a centralized TE manager who has complete knowledge of the network topology
and periodically gathers the up-to-date monitored traffic conditions of the operating
network. These new splitting ratios are then configured by the TE manager to
individual source PoP nodes, who use this configuration for remarking the
multi-topology identifiers (MTIDs) of their locally originated traffic
accordingly.
Offline Link Weight
Optimization
In
this module, to determine the definition of “path diversity” between PoPs for traffic
engineering. Let’s consider the following two scenarios of MT-IGP link weight configuration.
In the first case, highly diverse paths (e.g. end-to-end disjoint ones) are available
for some Pop-level S-D pairs, while for some other pairs individual paths are completely
overlapping with each other across all VRTs. In the second case, none of the S-D
pairs have disjoint paths, but none of them are completely overlapping either. Obviously,
in the first case if any “critical” link that is shared by all paths becomes congested,
its load cannot be alleviated through adjusting traffic splitting ratios at the
associated sources, as their traffic will inevitably travel through this link
no matter which VRT is used. Hence, our strategy targets the second scenario by
achieving “balanced” path diversity across all S-D pairs.
Network Monitoring
In
this Module, Network monitoring is responsible for collecting up-to-date
traffic conditions in real-time and plays an important role for supporting the
ATC operations. AMPLE adopts a hop-by-hop based monitoring mechanism that is
similar to the proposal.
The
basic idea is that a dedicated monitoring agent deployed at every PoP node is responsible
for monitoring:
ü The volume of the traffic originated by the
local customers toward other PoPs (intra- PoP traffic is ignored).
ü The utilization of the directly attached inter-PoP
links
Adaptive Traffic Control
In this Module, Measure the incoming traffic volume
and the network load for the current interval as compute new traffic splitting
ratios at individual PoP source nodes based on the splitting ratio
configuration in the previous interval, according to the newly measured traffic
demand and the network load for dynamic load balancing.
System
Requirements:
Hardware
Requirements:
·
System : Pentium IV 2.4 GHz.
·
Hard Disk : 40 GB.
·
Floppy Drive : 1.44 Mb.
·
Monitor : 15 VGA Color.
·
Mouse : Logitech.
·
Ram : 512 Mb.
Software
Requirements:
·
Operating system : - Windows XP.
·
Coding Language : C#.Net
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