5 research outputs found
Energy aware routing and traffic management for software defined networks
2nd IEEE International Conference on Network Softwarization, NetSoft 2016; Seoul; South Korea; 6 June 2016 through 10 June 2016Since traffic diversity and volume increase with growing popularity of mobile applications, there is the strong need to manage the traffic carried by networks. Software defined networks can simplify network management while enabling new services by employing traffic management including routing whose goal is to maximize the given utility while satisfying capacity requirements. In this paper, we propose an efficient routing algorithm to minimize the cost based on power consumption determined by the number of active OpenFlow switches in a software defined network while satisfying throughput requirements of all flows according to constraints on link capacities in the network. We evaluate the performance of the proposed algorithm based on the number of active switches for different network topologies with various scenarios
Real-time QoS Routing Scheme in SDN-based Robotic Cyber-Physical Systems
Industrial cyber-physical systems (CPS) have gained enormous attention of
manufacturers in recent years due to their automation and cost reduction
capabilities in the fourth industrial revolution (Industry 4.0). Such an
industrial network of connected cyber and physical components may consist of
highly expensive components such as robots. In order to provide efficient
communication in such a network, it is imperative to improve the
Quality-of-Service (QoS). Software Defined Networking (SDN) has become a key
technology in realizing QoS concepts in a dynamic fashion by allowing a
centralized controller to program each flow with a unified interface. However,
state-of-the-art solutions do not effectively use the centralized visibility of
SDN to fulfill QoS requirements of such industrial networks. In this paper, we
propose an SDN-based routing mechanism which attempts to improve QoS in robotic
cyber-physical systems which have hard real-time requirements. We exploit the
SDN capabilities to dynamically select paths based on current link parameters
in order to improve the QoS in such delay-constrained networks. We verify the
efficiency of the proposed approach on a realistic industrial OpenFlow
topology. Our experiments reveal that the proposed approach significantly
outperforms an existing delay-based routing mechanism in terms of average
throughput, end-to-end delay and jitter. The proposed solution would prove to
be significant for the industrial applications in robotic cyber-physical
systems
Energy-aware routing techniques for software-defined networks
Achieving energy efficiency has recently become a key topic of networking research due to the ever-increasing power consumption and CO2 emissions generated by large data networks. This problem is becoming even more concerning and challenging given the drastic traffic increase expected over the next few years. However, the use of efficient energy-aware strategies could overturn this situation reducing the electricity consumption of Internet data transmission networks, as well as contributing to mitigate the environmental impact of other sectors.
The existence of redundant network elements with high capacities is a common design practice in current network infrastructures in order to face suddenly failures or peak traffic flows. However, these additional resources remain either unused or barely used most of the time leading to an undesired energy waste. Therefore, putting into sleep mode (i.e. a low-power state) unused elements is an effective and widely-accepted strategy to decrease the consumption of data networks. In this context, SDN can be seen as an attractive solution to achieve the long-awaited energy efficiency in current communications systems, since they allow a flexible programmability suitable for this problem.
This doctoral thesis tackles the problem of optimizing the power consumption in SDN through the design of energy-aware routing techniques that minimize the number of network elements required to satisfy an incoming traffic load. Different from existing related works, we focus on optimizing energy consumption in SDN with in-band control traffic in order to close this important gap in the literature and provide solutions compatible with operational backbone networks.
Complementing the general aim of improving the energy efficiency in SDN, this research is also intended to cover important related features such as network performance, QoS requirements and real-time operation. Accordingly, this study gives a general perspective about the use of energy efficient routing techniques, which cover integrated routing considerations for the data and control plane traffic in SDN.
By using realistic input data, significant values of switched-off links and nodes are reached, which demonstrates the great opportunity for saving energy given by our proposals. The obtained results have also validated the intrinsic trade-off between environmental and performance concerns, considering several performance indicators. These findings confirm that energy-aware routing schemes should be designed considering specific traffic requirements and performance metric bounds. Moreover, it is shown that jointly considering QoS requirements and energy awareness is an effective approach to improve, not only the power consumption, but the performance on critical parameters such as control traffic delay and blocking rate. Similarly, the proposed dynamic traffic allocation with congestion-aware rerouting is able to handle demanding traffic arrival without degrading the performance of higher priority traffic.
In general, our proposals are fine-grained, easy to implement and quite balanced and effective in their results looking for a suitable and readily deployment in real-world SDN scenarios. Therefore, the conducted research and contributions reported through this document not only add to what is known about the potential of energy-aware routing techniques, but also stand as a valuable solution on the road to a sustainable networking.L'assoliment de l'eficiència energètica s'ha convertit recentment en un tema clau de recerca de xarxes a causa dels creixents nivells de consum d'energia i emissions de CO2 generats per les xarxes de dades. Aquest problema es torna cada vegada mĂ©s preocupant i desafiant, donat el drĂ stic augment del trĂ nsit esperat en els propers anys. No obstant això, l'Ăşs d'estratègies energètiques eficients podria invertir aquesta situaciĂł, reduint el consum d'electricitat de les xarxes de dades d'Internet i contribuint a mitigar l'impacte ambiental d'altres sectors. L'existència d'elements de xarxa redundants i amb grans capacitats Ă©s una prĂ ctica de disseny habitual en les infraestructures de xarxes actuals per afrontar fallades sobtades o fluxos de trĂ nsit mĂ©s elevats. Tanmateix, aquests recursos addicionals romanen poc o gens utilitzats la major part del temps, generant un desaprofitament d'energia no desitjat. Per tant, posar en mode de repòs (Ă©s a dir, un estat de baixa potència) elements no utilitzats Ă©s una estratègia efectiva i Ă mpliament acceptada per disminuir el consum en xarxes de dades. En aquest context, les xarxes definides per programari (SDN) es poden considerar una soluciĂł atractiva per aconseguir l'esperada eficiència energètica en els sistemes de comunicacions actuals, ja que permeten una flexible programabilitat idònia per a aquest problema. Aquesta tesi doctoral aborda el problema d'optimitzar el consum d'energia en SDN a travĂ©s del disseny de tècniques d'encaminament conscients de l'energia que minimitzen la quantitat d'elements de xarxa necessaris per satisfer una cĂ rrega de trĂ nsit entrant. Diferent dels treballs existents, aquesta tesi es centra a optimitzar el consum d'energia en SDN amb el control de trĂ fic dins de banda per tancar aquesta important bretxa en la literatura i proporcionar solucions compatibles amb xarxes troncals operatives. Complementant l'objectiu general de millorar l'eficiència energètica en SDN, aquesta recerca tambĂ© pretĂ©n cobrir altres importants parĂ metres relacionats, com ara el rendiment de la xarxa, els requisits de qualitat de servei (QoS) i el funcionament en temps real. En conseqüència, aquest estudi ofereix una perspectiva general sobre l'Ăşs de tècniques d'encaminament eficients energèticament, que contempla consideracions integrades per al trĂ fic de dades i del pla de control en SDN. Prenent dades d'entrada realistes, es van aconseguir desconnectar significatives quantitats d'enllaços i nodes, la qual cosa demostra la gran oportunitat d'estalvi d'energia que ofereixen les nostres propostes. Els resultats obtinguts tambĂ© validen el estret compromĂs entre les preocupacions ambientals i les qĂĽestions de rendiment de la xarxa, considerant diversos indicadors de rendiment. Aquests resultats confirmen que els esquemes d'encaminament conscients de l'energia s'han de dissenyar tenint en compte els requisits de trĂ fic especĂfics i els lĂmits desitjats de les mètriques de rendiment. A mĂ©s, es demostra que, considerant conjuntament els requisits de QoS i de l'energia necessĂ ria, Ă©s un enfocament eficaç per millorar, no nomĂ©s el consum d'energia, sinĂł tambĂ© el rendiment en parĂ metres crĂtics, com la latència del trĂ fic de control i la probabilitat de bloqueig. De manera semblant, l'assignaciĂł dinĂ mica de trĂ fic proposta, amb re-encaminament conscient de la congestiĂł, permet gestionar grans volums de trĂ nsit sense degradar el rendiment de les demandes de major prioritat. En general, les nostres propostes sĂłn precises, fĂ cils d'implementar i bastant equilibrades i efectives en els seus resultats, buscant un desplegament adequat i fĂ cil en escenaris prĂ ctics de SDN. Per tant, la recerca realitzada i les contribucions contingudes en aquest document no nomĂ©s afegeixen el que es coneix sobre el potencial de les tècniques d'encaminament conscients de l'energia, sinĂł que tambĂ© representen una valuosa soluciĂł en el camĂ cap a una xarxa sostenibl
Energy aware routing and traffic management for software defined networks
2nd IEEE International Conference on Network Softwarization, NetSoft 2016; Seoul; South Korea; 6 June 2016 through 10 June 2016Since traffic diversity and volume increase with growing popularity of mobile applications, there is the strong need to manage the traffic carried by networks. Software defined networks can simplify network management while enabling new services by employing traffic management including routing whose goal is to maximize the given utility while satisfying capacity requirements. In this paper, we propose an efficient routing algorithm to minimize the cost based on power consumption determined by the number of active OpenFlow switches in a software defined network while satisfying throughput requirements of all flows according to constraints on link capacities in the network. We evaluate the performance of the proposed algorithm based on the number of active switches for different network topologies with various scenarios
Energy-aware routing techniques for software-defined networks
Achieving energy efficiency has recently become a key topic of networking research due to the ever-increasing power consumption and CO2 emissions generated by large data networks. This problem is becoming even more concerning and challenging given the drastic traffic increase expected over the next few years. However, the use of efficient energy-aware strategies could overturn this situation reducing the electricity consumption of Internet data transmission networks, as well as contributing to mitigate the environmental impact of other sectors.
The existence of redundant network elements with high capacities is a common design practice in current network infrastructures in order to face suddenly failures or peak traffic flows. However, these additional resources remain either unused or barely used most of the time leading to an undesired energy waste. Therefore, putting into sleep mode (i.e. a low-power state) unused elements is an effective and widely-accepted strategy to decrease the consumption of data networks. In this context, SDN can be seen as an attractive solution to achieve the long-awaited energy efficiency in current communications systems, since they allow a flexible programmability suitable for this problem.
This doctoral thesis tackles the problem of optimizing the power consumption in SDN through the design of energy-aware routing techniques that minimize the number of network elements required to satisfy an incoming traffic load. Different from existing related works, we focus on optimizing energy consumption in SDN with in-band control traffic in order to close this important gap in the literature and provide solutions compatible with operational backbone networks.
Complementing the general aim of improving the energy efficiency in SDN, this research is also intended to cover important related features such as network performance, QoS requirements and real-time operation. Accordingly, this study gives a general perspective about the use of energy efficient routing techniques, which cover integrated routing considerations for the data and control plane traffic in SDN.
By using realistic input data, significant values of switched-off links and nodes are reached, which demonstrates the great opportunity for saving energy given by our proposals. The obtained results have also validated the intrinsic trade-off between environmental and performance concerns, considering several performance indicators. These findings confirm that energy-aware routing schemes should be designed considering specific traffic requirements and performance metric bounds. Moreover, it is shown that jointly considering QoS requirements and energy awareness is an effective approach to improve, not only the power consumption, but the performance on critical parameters such as control traffic delay and blocking rate. Similarly, the proposed dynamic traffic allocation with congestion-aware rerouting is able to handle demanding traffic arrival without degrading the performance of higher priority traffic.
In general, our proposals are fine-grained, easy to implement and quite balanced and effective in their results looking for a suitable and readily deployment in real-world SDN scenarios. Therefore, the conducted research and contributions reported through this document not only add to what is known about the potential of energy-aware routing techniques, but also stand as a valuable solution on the road to a sustainable networking.L'assoliment de l'eficiència energètica s'ha convertit recentment en un tema clau de recerca de xarxes a causa dels creixents nivells de consum d'energia i emissions de CO2 generats per les xarxes de dades. Aquest problema es torna cada vegada mĂ©s preocupant i desafiant, donat el drĂ stic augment del trĂ nsit esperat en els propers anys. No obstant això, l'Ăşs d'estratègies energètiques eficients podria invertir aquesta situaciĂł, reduint el consum d'electricitat de les xarxes de dades d'Internet i contribuint a mitigar l'impacte ambiental d'altres sectors. L'existència d'elements de xarxa redundants i amb grans capacitats Ă©s una prĂ ctica de disseny habitual en les infraestructures de xarxes actuals per afrontar fallades sobtades o fluxos de trĂ nsit mĂ©s elevats. Tanmateix, aquests recursos addicionals romanen poc o gens utilitzats la major part del temps, generant un desaprofitament d'energia no desitjat. Per tant, posar en mode de repòs (Ă©s a dir, un estat de baixa potència) elements no utilitzats Ă©s una estratègia efectiva i Ă mpliament acceptada per disminuir el consum en xarxes de dades. En aquest context, les xarxes definides per programari (SDN) es poden considerar una soluciĂł atractiva per aconseguir l'esperada eficiència energètica en els sistemes de comunicacions actuals, ja que permeten una flexible programabilitat idònia per a aquest problema. Aquesta tesi doctoral aborda el problema d'optimitzar el consum d'energia en SDN a travĂ©s del disseny de tècniques d'encaminament conscients de l'energia que minimitzen la quantitat d'elements de xarxa necessaris per satisfer una cĂ rrega de trĂ nsit entrant. Diferent dels treballs existents, aquesta tesi es centra a optimitzar el consum d'energia en SDN amb el control de trĂ fic dins de banda per tancar aquesta important bretxa en la literatura i proporcionar solucions compatibles amb xarxes troncals operatives. Complementant l'objectiu general de millorar l'eficiència energètica en SDN, aquesta recerca tambĂ© pretĂ©n cobrir altres importants parĂ metres relacionats, com ara el rendiment de la xarxa, els requisits de qualitat de servei (QoS) i el funcionament en temps real. En conseqüència, aquest estudi ofereix una perspectiva general sobre l'Ăşs de tècniques d'encaminament eficients energèticament, que contempla consideracions integrades per al trĂ fic de dades i del pla de control en SDN. Prenent dades d'entrada realistes, es van aconseguir desconnectar significatives quantitats d'enllaços i nodes, la qual cosa demostra la gran oportunitat d'estalvi d'energia que ofereixen les nostres propostes. Els resultats obtinguts tambĂ© validen el estret compromĂs entre les preocupacions ambientals i les qĂĽestions de rendiment de la xarxa, considerant diversos indicadors de rendiment. Aquests resultats confirmen que els esquemes d'encaminament conscients de l'energia s'han de dissenyar tenint en compte els requisits de trĂ fic especĂfics i els lĂmits desitjats de les mètriques de rendiment. A mĂ©s, es demostra que, considerant conjuntament els requisits de QoS i de l'energia necessĂ ria, Ă©s un enfocament eficaç per millorar, no nomĂ©s el consum d'energia, sinĂł tambĂ© el rendiment en parĂ metres crĂtics, com la latència del trĂ fic de control i la probabilitat de bloqueig. De manera semblant, l'assignaciĂł dinĂ mica de trĂ fic proposta, amb re-encaminament conscient de la congestiĂł, permet gestionar grans volums de trĂ nsit sense degradar el rendiment de les demandes de major prioritat. En general, les nostres propostes sĂłn precises, fĂ cils d'implementar i bastant equilibrades i efectives en els seus resultats, buscant un desplegament adequat i fĂ cil en escenaris prĂ ctics de SDN. Per tant, la recerca realitzada i les contribucions contingudes en aquest document no nomĂ©s afegeixen el que es coneix sobre el potencial de les tècniques d'encaminament conscients de l'energia, sinĂł que tambĂ© representen una valuosa soluciĂł en el camĂ cap a una xarxa sosteniblePostprint (published version