Abstract

Aggregates of real-time traffic may experience changes in their statistical characteristics often manifesting non stationary behavior. In multi protocol label switching (MPLS) networks this type of the traffic is assigned constant amount of resources. This may result in ineffective usage of resources when the load is below than expected or inappropriate performance when the load is higher. In this paper we propose new algorithm for dynamic resource adaptation to temporarily changing traffic conditions. Assuming that network nodes may reallocate resources on-demand using automatic bandwidth adjustment capability of MPLS framework, the proposed algorithm, implemented at ingress MPLS nodes, dynamically decides which amount of resources is currently sufficient to handle arriving traffic with given performance metrics. This decision is then communicated to interior MPLS nodes along the label switched path. As a basic tool of the algorithm we use change-point statistical test that signals time instants at which statistical characteristics of traffic aggregates change. The major advantage of the proposed approach is that it is fully autonomous, that is, network nodes do not need any support from hosts in terms of resource reservation requests. The proposed algorithm is well suited for traffic patterns experiencing high variability, especially, for non stationary type of the traffic.

Highlights

  • Congestion is one of the major problems that degrades performance of networks

  • According to multi protocol label switching (MPLS), data are transmitted along the socalled label switched paths (LSPs) that can be explicitly chosen by network operators [9]

  • The proposed dynamic resource allocation system tries to provide bandwidth savings compared to busy hour reservation and conventional MPLS automatic bandwidth adjustment while keeping performance metrics of interest at the desired level

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Summary

Moltchanov

In multi protocol label switching (MPLS) networks this type of the traffic is assigned constant amount of resources. Assuming that network nodes may reallocate resources on-demand using automatic bandwidth adjustment capability of MPLS framework, the proposed algorithm, implemented at ingress MPLS nodes, dynamically decides which amount of resources is currently sufficient to handle arriving traffic with given performance metrics. This decision is communicated to interior MPLS nodes along the label switched path.

INTRODUCTION
Traffic engineering in MPLS
Automatic bandwidth adjustment
Service configuration
TIME-VARYING NATURE OF AGGREGATED VIDEO TRAFFIC
Traffic aggregate: varying number of sources
Traffic aggregate: fixed number of sources
Model for aggregated traffic
Basic principles
EWMA control charts
Parametrization of EWMA charts
Functionality of the system
Estimating resource allocation
The immediate update mechanism
Aggregated traffic: fixed number of sources
Aggregated traffic: varying number of sources
Dynamic resource allocation
Findings
CONCLUSIONS
Full Text
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