Energy Efficient Mechanism for Next Generation Networks: Adaptive Resource Allocation
Author
Katov, Anton Nikolaev
Term
4. term
Publication year
2014
Pages
89
Abstract
Store kommunikationsnet er ofte bygget med mere kapacitet, end der typisk er brug for (overprovisionering). At holde alt udstyr aktivt hele tiden bruger unødigt strøm. Dette projekt præsenterer en metode til at reducere energiforbruget i MPLS-kerne-net ved at konsolidere ressourcer og midlertidigt slukke for underudnyttede dele af nettet. Tilgangen bygger på Software Defined Networking (SDN) med en central, omkonfigurerbar controller, der kan tænde/slukke for netelementer (noder/links). Hvilke elementer der skiftes, bestemmes af en dynamisk database baseret på kunders forbrugsmønstre og netstatistikker i realtid. Metoden omfatter: at finde tidsrum med lavere trafik; rangordne noder og links efter udnyttelse og kritikalitet; omlægge trafikken væk fra de mindst udnyttede elementer; og til sidst slukke for relevante noder eller links. Projektet foreslår en omlægningsalgoritme baseret på MPLS traffic engineering og vurderer energibesparelsen under foruddefinerede krav til forbindelse og tjenestekvalitet (QoS).
Large communication networks are often built with more capacity than is needed most of the time (overprovisioning). Keeping all equipment active continuously wastes energy. This project presents a method to reduce power use in core MPLS (Multiprotocol Label Switching) networks by consolidating resources and temporarily turning off underused parts of the network. The approach uses Software Defined Networking (SDN) with a centralized, reconfigurable controller that can switch network elements (nodes/links) on or off. Decisions are guided by a dynamic database that combines customer demand patterns with real-time network statistics. The method includes: identifying time periods with lower traffic; ranking nodes and links by their utilization and criticality; rerouting traffic away from the least used elements; and finally powering down the appropriate nodes or links. The project proposes a rerouting algorithm based on MPLS traffic engineering and evaluates energy savings under predefined connectivity and quality-of-service (QoS) constraints.
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