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 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.

Organizing Multipath Routing in Cloud Computing Environments

“…In another report by Wang et al [20], AMPLE, based on offline link weight optimization, was introduced. Using this, they were able to monitor network dynamics at short timescales, thereby coping almost optimally with unpredictable traffic dynamics.…”

Dynamic link sleeping reconfigurations for green traffic engineering

“…The GEANT network topology consists of 23 point‐of‐presence (PoP), 74 unidirectional inter‐PoP links of varying bandwidth capacities, and delay while the Abilene network topology contains 12 PoP nodes, 30 unidirectional inter‐PoP links of varying delay and bandwidth capacities. Our simulation is on the basis of 7 consecutive days of published traffic traces of both networks, which were collected every 15 minutes starting from Monday noon . This gives a total number of 672 TMs.…”

“…Our simulation is on the basis of 7 consecutive days of published traffic traces of both networks, which were collected every 15 minutes starting from Monday noon. 17 This gives a total number of 672 TMs.…”

“…This work is the first to jointly optimize link sleeping and link wake up in a dynamic, robust, and resilient way for energy savings. To realistically evaluate the performance of our framework, we use GEANT and Abilene network topologies, respectively, together with their published historical traffic matrices over 7 consecutive days . The results showed substantial energy‐saving gains while maintaining network performance and guaranteeing disruption‐free operations.…”

Energy‐aware traffic allocation to optical lightpaths in multilayer core networks

“…Taking into account that core networks typically have a two‐layer architecture consisting of an IP/multiprotocol label switching over an optical layer, multilayer traffic engineering mechanisms are referred as the best solution for guaranteeing QoS to users, while reducing the consumed energy . Furthermore, efficient management of traffic can be achieved by using multiple virtualized logical routing topologies, which are able and flexible to adapt to traffic variations . In multilayer networks particularly, generalized multiprotocol label switching signaling and optical switching technology such as optical cross connects (OXCs) enable setting up and tearing down optical end‐to‐end connections (lightpaths) on demand, by reconfiguring the multilayer logical topology.…”