On the energy cost of robustness and resiliency in IP networks
Identifieur interne : 000004 ( PascalFrancis/Corpus ); précédent : 000003; suivant : 000005On the energy cost of robustness and resiliency in IP networks
Auteurs : B. Addis ; A. Capone ; G. Carello ; L. G. Gianoli ; B. SansoSource :
- Computer networks : (1999) [ 1389-1286 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Protocole internet, Internet, Développement durable, Qualité service, Tolérance faute, Disponibilité, Sensibilité contexte, Système tolérant les pannes, Multiprotocole, Protocole transmission, Consommation énergie, Gestion réseau, Télétrafic, Gestion trafic, Gestion de la qualité, Coût énergie, Robustesse, Service réseau, Résilience, Panne, Optimisation, Modélisation, Stabilité, Méthode heuristique, Economies d'énergie, ., Protocole routage.
English descriptors
- KwdEn :
- Availability, Breakdown, Context aware, Energy consumption, Energy cost, Energy savings, Fault tolerance, Fault tolerant system, Heuristic method, Internet, Internet protocol, Modeling, Multiprotocol, Network management, Network service, Optimization, Quality management, Resilience, Robustness, Routing protocols, Service quality, Stability, Sustainable development, Teletraffic, Traffic management, Transmission protocol.
Abstract
Despite the growing concern for the energy consumption of the Internet, green strategies for network and traffic management cannot undermine Quality of Service (QoS) and network survivability. In particular, two very important issues that may be affected by green networking techniques are resilience to node and link failures, and robustness to traffic variations. In this paper, we study how achieving different levels of resiliency and robustness impacts the network energy-aware efficiency. We propose novel optimization models to minimize the energy consumption of IP networks that explicitly guarantee network survivability to failures and robustness to traffic variations. Energy consumption is reduced by putting in sleep mode idle line cards and nodes according to traffic variations in different periods of the day. To guarantee network survivability we consider two different schemes, dedicated and shared protection, which assign a backup path to each traffic demand and some spare capacity on the links along the path. Robustness to traffic variations is provided by tuning the capacity margin on active links in order to accommodate load variations of different magnitude. Furthermore, we impose some inter-period constraints to guarantee network stability and preserve device lifetime. Both exact and heuristic methods are proposed. Experimentations carried out on realistic networks operated with flow-based routing protocols (like MPLS) allow us to quantitatively analyze the trade-off between energy cost and level of protection and robustness. Results show that significant savings, up to 30%, may be achieved even when both survivability and robustness are fully guaranteed, both with exact and heuristic approaches.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
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Format Inist (serveur)
NO : | PASCAL 15-0025640 INIST |
---|---|
ET : | On the energy cost of robustness and resiliency in IP networks |
AU : | ADDIS (B.); CAPONE (A.); CARELLO (G.); GIANOLI (L. G.); SANSO (B.) |
AF : | Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria/Italie (2 aut., 3 aut., 4 aut.); LORIA (UMR 7503 CNRS), Université de Lorraine, INRIA Nancy-Grand Est/France (1 aut.); École Polytechnique de Montréal, Département de Génie Électrique/Canada (4 aut., 5 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Computer networks : (1999); ISSN 1389-1286; Royaume-Uni; Da. 2014; Vol. 75; No. p. a; Pp. 239-259; Bibl. 52 ref. |
LA : | Anglais |
EA : | Despite the growing concern for the energy consumption of the Internet, green strategies for network and traffic management cannot undermine Quality of Service (QoS) and network survivability. In particular, two very important issues that may be affected by green networking techniques are resilience to node and link failures, and robustness to traffic variations. In this paper, we study how achieving different levels of resiliency and robustness impacts the network energy-aware efficiency. We propose novel optimization models to minimize the energy consumption of IP networks that explicitly guarantee network survivability to failures and robustness to traffic variations. Energy consumption is reduced by putting in sleep mode idle line cards and nodes according to traffic variations in different periods of the day. To guarantee network survivability we consider two different schemes, dedicated and shared protection, which assign a backup path to each traffic demand and some spare capacity on the links along the path. Robustness to traffic variations is provided by tuning the capacity margin on active links in order to accommodate load variations of different magnitude. Furthermore, we impose some inter-period constraints to guarantee network stability and preserve device lifetime. Both exact and heuristic methods are proposed. Experimentations carried out on realistic networks operated with flow-based routing protocols (like MPLS) allow us to quantitatively analyze the trade-off between energy cost and level of protection and robustness. Results show that significant savings, up to 30%, may be achieved even when both survivability and robustness are fully guaranteed, both with exact and heuristic approaches. |
CC : | 001D02B04; 001D04B02B; 001D04B03A |
FD : | Protocole internet; Internet; Développement durable; Qualité service; Tolérance faute; Disponibilité; Sensibilité contexte; Système tolérant les pannes; Multiprotocole; Protocole transmission; Consommation énergie; Gestion réseau; Télétrafic; Gestion trafic; Gestion de la qualité; Coût énergie; Robustesse; Service réseau; Résilience; Panne; Optimisation; Modélisation; Stabilité; Méthode heuristique; Economies d'énergie; .; Protocole routage |
ED : | Internet protocol; Internet; Sustainable development; Service quality; Fault tolerance; Availability; Context aware; Fault tolerant system; Multiprotocol; Transmission protocol; Energy consumption; Network management; Teletraffic; Traffic management; Quality management; Energy cost; Robustness; Network service; Resilience; Breakdown; Optimization; Modeling; Stability; Heuristic method; Energy savings; Routing protocols |
SD : | Protocolo internet; Internet; Desarrollo sostenible; Calidad servicio; Tolerancia falta; Disponibilidad; Sensibilidad contexto; Sistema tolerando faltas; Multiprotocolo; Protocolo transmisión; Consumo energía; Gestión red; Teletráfico; Gestión tráfico; Gestión de calidad; Coste energía; Robustez; Servicio de red; Resiliencia; Pana; Optimización; Modelización; Estabilidad; Método heurístico; Ahorros energía; Protocolo de enrutamiento |
LO : | INIST-17220.354000503580850160 |
ID : | 15-0025640 |
Links to Exploration step
Pascal:15-0025640Le document en format XML
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<front><div type="abstract" xml:lang="en">Despite the growing concern for the energy consumption of the Internet, green strategies for network and traffic management cannot undermine Quality of Service (QoS) and network survivability. In particular, two very important issues that may be affected by green networking techniques are resilience to node and link failures, and robustness to traffic variations. In this paper, we study how achieving different levels of resiliency and robustness impacts the network energy-aware efficiency. We propose novel optimization models to minimize the energy consumption of IP networks that explicitly guarantee network survivability to failures and robustness to traffic variations. Energy consumption is reduced by putting in sleep mode idle line cards and nodes according to traffic variations in different periods of the day. To guarantee network survivability we consider two different schemes, dedicated and shared protection, which assign a backup path to each traffic demand and some spare capacity on the links along the path. Robustness to traffic variations is provided by tuning the capacity margin on active links in order to accommodate load variations of different magnitude. Furthermore, we impose some inter-period constraints to guarantee network stability and preserve device lifetime. Both exact and heuristic methods are proposed. Experimentations carried out on realistic networks operated with flow-based routing protocols (like MPLS) allow us to quantitatively analyze the trade-off between energy cost and level of protection and robustness. Results show that significant savings, up to 30%, may be achieved even when both survivability and robustness are fully guaranteed, both with exact and heuristic approaches.</div>
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<fC03 i1="13" i2="X" l="ENG"><s0>Teletraffic</s0>
<s5>20</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Teletráfico</s0>
<s5>20</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Gestion trafic</s0>
<s5>21</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Traffic management</s0>
<s5>21</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Gestión tráfico</s0>
<s5>21</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Gestion de la qualité</s0>
<s5>22</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Quality management</s0>
<s5>22</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Gestión de calidad</s0>
<s5>22</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE"><s0>Coût énergie</s0>
<s5>23</s5>
</fC03>
<fC03 i1="16" i2="X" l="ENG"><s0>Energy cost</s0>
<s5>23</s5>
</fC03>
<fC03 i1="16" i2="X" l="SPA"><s0>Coste energía</s0>
<s5>23</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE"><s0>Robustesse</s0>
<s5>24</s5>
</fC03>
<fC03 i1="17" i2="X" l="ENG"><s0>Robustness</s0>
<s5>24</s5>
</fC03>
<fC03 i1="17" i2="X" l="SPA"><s0>Robustez</s0>
<s5>24</s5>
</fC03>
<fC03 i1="18" i2="X" l="FRE"><s0>Service réseau</s0>
<s5>25</s5>
</fC03>
<fC03 i1="18" i2="X" l="ENG"><s0>Network service</s0>
<s5>25</s5>
</fC03>
<fC03 i1="18" i2="X" l="SPA"><s0>Servicio de red</s0>
<s5>25</s5>
</fC03>
<fC03 i1="19" i2="X" l="FRE"><s0>Résilience</s0>
<s5>26</s5>
</fC03>
<fC03 i1="19" i2="X" l="ENG"><s0>Resilience</s0>
<s5>26</s5>
</fC03>
<fC03 i1="19" i2="X" l="SPA"><s0>Resiliencia</s0>
<s5>26</s5>
</fC03>
<fC03 i1="20" i2="X" l="FRE"><s0>Panne</s0>
<s5>27</s5>
</fC03>
<fC03 i1="20" i2="X" l="ENG"><s0>Breakdown</s0>
<s5>27</s5>
</fC03>
<fC03 i1="20" i2="X" l="SPA"><s0>Pana</s0>
<s5>27</s5>
</fC03>
<fC03 i1="21" i2="X" l="FRE"><s0>Optimisation</s0>
<s5>28</s5>
</fC03>
<fC03 i1="21" i2="X" l="ENG"><s0>Optimization</s0>
<s5>28</s5>
</fC03>
<fC03 i1="21" i2="X" l="SPA"><s0>Optimización</s0>
<s5>28</s5>
</fC03>
<fC03 i1="22" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>29</s5>
</fC03>
<fC03 i1="22" i2="X" l="ENG"><s0>Modeling</s0>
<s5>29</s5>
</fC03>
<fC03 i1="22" i2="X" l="SPA"><s0>Modelización</s0>
<s5>29</s5>
</fC03>
<fC03 i1="23" i2="X" l="FRE"><s0>Stabilité</s0>
<s5>30</s5>
</fC03>
<fC03 i1="23" i2="X" l="ENG"><s0>Stability</s0>
<s5>30</s5>
</fC03>
<fC03 i1="23" i2="X" l="SPA"><s0>Estabilidad</s0>
<s5>30</s5>
</fC03>
<fC03 i1="24" i2="X" l="FRE"><s0>Méthode heuristique</s0>
<s5>31</s5>
</fC03>
<fC03 i1="24" i2="X" l="ENG"><s0>Heuristic method</s0>
<s5>31</s5>
</fC03>
<fC03 i1="24" i2="X" l="SPA"><s0>Método heurístico</s0>
<s5>31</s5>
</fC03>
<fC03 i1="25" i2="X" l="FRE"><s0>Economies d'énergie</s0>
<s5>41</s5>
</fC03>
<fC03 i1="25" i2="X" l="ENG"><s0>Energy savings</s0>
<s5>41</s5>
</fC03>
<fC03 i1="25" i2="X" l="SPA"><s0>Ahorros energía</s0>
<s5>41</s5>
</fC03>
<fC03 i1="26" i2="X" l="FRE"><s0>.</s0>
<s4>INC</s4>
<s5>82</s5>
</fC03>
<fC03 i1="27" i2="X" l="FRE"><s0>Protocole routage</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="27" i2="X" l="ENG"><s0>Routing protocols</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="27" i2="X" l="SPA"><s0>Protocolo de enrutamiento</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fN21><s1>040</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>PASCAL 15-0025640 INIST</NO>
<ET>On the energy cost of robustness and resiliency in IP networks</ET>
<AU>ADDIS (B.); CAPONE (A.); CARELLO (G.); GIANOLI (L. G.); SANSO (B.)</AU>
<AF>Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria/Italie (2 aut., 3 aut., 4 aut.); LORIA (UMR 7503 CNRS), Université de Lorraine, INRIA Nancy-Grand Est/France (1 aut.); École Polytechnique de Montréal, Département de Génie Électrique/Canada (4 aut., 5 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Computer networks : (1999); ISSN 1389-1286; Royaume-Uni; Da. 2014; Vol. 75; No. p. a; Pp. 239-259; Bibl. 52 ref.</SO>
<LA>Anglais</LA>
<EA>Despite the growing concern for the energy consumption of the Internet, green strategies for network and traffic management cannot undermine Quality of Service (QoS) and network survivability. In particular, two very important issues that may be affected by green networking techniques are resilience to node and link failures, and robustness to traffic variations. In this paper, we study how achieving different levels of resiliency and robustness impacts the network energy-aware efficiency. We propose novel optimization models to minimize the energy consumption of IP networks that explicitly guarantee network survivability to failures and robustness to traffic variations. Energy consumption is reduced by putting in sleep mode idle line cards and nodes according to traffic variations in different periods of the day. To guarantee network survivability we consider two different schemes, dedicated and shared protection, which assign a backup path to each traffic demand and some spare capacity on the links along the path. Robustness to traffic variations is provided by tuning the capacity margin on active links in order to accommodate load variations of different magnitude. Furthermore, we impose some inter-period constraints to guarantee network stability and preserve device lifetime. Both exact and heuristic methods are proposed. Experimentations carried out on realistic networks operated with flow-based routing protocols (like MPLS) allow us to quantitatively analyze the trade-off between energy cost and level of protection and robustness. Results show that significant savings, up to 30%, may be achieved even when both survivability and robustness are fully guaranteed, both with exact and heuristic approaches.</EA>
<CC>001D02B04; 001D04B02B; 001D04B03A</CC>
<FD>Protocole internet; Internet; Développement durable; Qualité service; Tolérance faute; Disponibilité; Sensibilité contexte; Système tolérant les pannes; Multiprotocole; Protocole transmission; Consommation énergie; Gestion réseau; Télétrafic; Gestion trafic; Gestion de la qualité; Coût énergie; Robustesse; Service réseau; Résilience; Panne; Optimisation; Modélisation; Stabilité; Méthode heuristique; Economies d'énergie; .; Protocole routage</FD>
<ED>Internet protocol; Internet; Sustainable development; Service quality; Fault tolerance; Availability; Context aware; Fault tolerant system; Multiprotocol; Transmission protocol; Energy consumption; Network management; Teletraffic; Traffic management; Quality management; Energy cost; Robustness; Network service; Resilience; Breakdown; Optimization; Modeling; Stability; Heuristic method; Energy savings; Routing protocols</ED>
<SD>Protocolo internet; Internet; Desarrollo sostenible; Calidad servicio; Tolerancia falta; Disponibilidad; Sensibilidad contexto; Sistema tolerando faltas; Multiprotocolo; Protocolo transmisión; Consumo energía; Gestión red; Teletráfico; Gestión tráfico; Gestión de calidad; Coste energía; Robustez; Servicio de red; Resiliencia; Pana; Optimización; Modelización; Estabilidad; Método heurístico; Ahorros energía; Protocolo de enrutamiento</SD>
<LO>INIST-17220.354000503580850160</LO>
<ID>15-0025640</ID>
</server>
</inist>
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