On the energy cost of robustness for green virtual network function placement in 5G virtualized infrastructures

Next generation 5G networks will rely on virtualized Data Centers (vDC) to host virtualized network functions on commodity servers. Such Network Function Virtualization (NFV) will lead to significant savings in terms of infrastructure cost and reduced management complexity. However, green strategies...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Computer networks (Amsterdam, Netherlands : 1999) Ročník 125; s. 64 - 75
Hlavní autoři: Marotta, Antonio, D’Andreagiovanni, Fabio, Kassler, Andreas, Zola, Enrica
Médium: Journal Article Publikace
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 09.10.2017
Elsevier Sequoia S.A
Elsevier
Témata:
5G mobile communication
Binary Linear Programming
Chains
Cloud computing
Computació en núvol
Computer centers
Computer networks
Computer Science
Computing costs
Comunicacions òptiques
Consolidation
Cost control
Costs
Data centers
Datavetenskap
Demand
Energy
Energy conservation
Engineering Sciences
EPC
Experiments
Heuristic
Heuristic methods
Infrastructure
Latency
Mathematical models
Mathematics
Minimization
Network function virtualization (NFV)
Networking
Networks
Numerical analysis
Operations Research
Operators
Operators (mathematics)
Optical communications
Optimization
Optimization and Control
Ordinadors, Xarxes d
Placement
Ports
Protection
Robust Optimization
Robustness
Robustness (mathematics)
Routers
Savings
Servers
Switching theory
Telecomunicació
Uncertainty
Virtual networks
Virtualization
Xarxes
EPC
5G
Binary linear programming
Robust optimization
Virtualization
Network function virtualization (NFV)
ISSN:1389-1286, 1872-7069, 1872-7069
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Next generation 5G networks will rely on virtualized Data Centers (vDC) to host virtualized network functions on commodity servers. Such Network Function Virtualization (NFV) will lead to significant savings in terms of infrastructure cost and reduced management complexity. However, green strategies for networking and computing inside data centers, such as server consolidation or energy aware routing, should not negatively impact the quality and service level agreements expected from network operators. In this paper, we study how robust strategies that place virtual network functions (VNF) inside vDC impact the energy savings and the protection level against resource demand uncertainty. We propose novel optimization models that allow the minimization of the energy of the computing and network infrastructure which is hosting a set of service chains that implement the VNFs. The model explicitly provides for robustness to unknown or imprecisely formulated resource demand variations, powers down unused routers, switch ports and servers, and calculates the energy optimal VNF placement and network embedding also considering latency constraints on the service chains. We propose both exact and heuristic methods. Our experiments were carried out using the virtualized Evolved Packet Core (vEPC), which allows us to quantitatively assess the trade-off between energy cost, robustness and the protection level of the solutions against demand uncertainty. Our heuristic is able to converge to a good solution in a very short time, in comparison to the exact solver, which is not able to output better results in a longer run as demonstrated by our numerical evaluation. We also study the degree of robustness of a solution for a given protection level and the cost of additional energy needed because of the usage of more computing and network elements.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1389-1286
1872-7069
1872-7069
DOI:10.1016/j.comnet.2017.04.045