2019 15th International Conference on Network and Service Management (CNSM), 2019
Smart home gateway has to process different types of network traffic generated from several devic... more Smart home gateway has to process different types of network traffic generated from several devices in an optimal way to meet their QoS requirements. However, the fluctuation of network traffic distributions results in packets concurrency. Current QoS-aware scheduling methods in the smart home networks do not consider concurrent traffic in their scheduling solutions. This paper presents an analytic model for a QoS-aware scheduling optimization of concurrent smart home network traffic with mixed arrival distributions and using probabilistic queuing disciplines. We formulate a hybrid QoS-aware scheduling problem for concurrent traffics in smart home network, and propose an innovative queuing design based on the auction economic model of game theory to provide a fair multiple access over different communication channels/ports. Our experiments show the proposed solution achieves an improvement of 14% of packets that meet their required delay and 57% of delay for different number of conc...
Community networks are evolving rapidly to include heterogeneous physical access (both wired and ... more Community networks are evolving rapidly to include heterogeneous physical access (both wired and wireless) and a large number of smart devices that generate different types of traffic. In addition, a variety of applications (VoIP, messaging, video, etc.) with different requirements is putting more constraints in community networks such as delay, packet loss, and bandwidth. Due to its particular architecture, which is very dense and very dynamic, the traditional one-pair-node shortest path solution, which is currently used in metro or WAN networks, is no longer efficient in community networks. This paper presents an analytical framework for dynamically optimizing data flows in community network using Software-defined networking (SDN). We formulate a QoS-based routing optimization problem as a constrained shortest path problem, and then propose an optimized solution to determine minimal cost between all pairs of nodes in the network taking into account the different types of physical ...
Home networks are evolving rapidly to include heterogeneous physical access and a large number of... more Home networks are evolving rapidly to include heterogeneous physical access and a large number of smart devices that generate different types of traffic with different distributions and different Quality of Service (QoS) requirements. Due to their particular architectures, which are very dense and very dynamic, the traditional one-pair-node shortest path solution is no longer efficient to handle inter-smart home networks (inter-SHNs) routing constraints such as delay, packet loss, and bandwidth in all-pair node heterogenous links. In addition, Current QoS-aware scheduling methods consider only the conventional priority metrics based on the IP Type of Service (ToS) field to make decisions for bandwidth allocation. Such priority based scheduling methods are not optimal to provide both QoS and Quality of Experience (QoE), especially for smart home applications, since higher priority traffic does not necessarily require higher stringent delay than lower-priority traffic. Moreover, curre...
Le reconditionnement des applications legitimes pour injecter du code malveillant, est un vecteur... more Le reconditionnement des applications legitimes pour injecter du code malveillant, est un vecteur d'attaque important ciblant les telephones intelligents Android. Cette attaque peut etre detectee principalement en surveillant le comportement des applications pour des ecarts potentiels. Toutefois, l'execution de cette approche de detection sur un environnement mobile n’est pas simple en raison de contraintes de ressources imposees par les telephones intelligents. Ce travail de recherche met l'accent sur la facilite d'utilisation des algorithmes de detection d'anomalies sur les systemes embarques a ressources limitees et propose un cadre de detection leger pour les dispositifs bases sur Android. Ce cadre permet de gerer le compromis entre la precision de detection et la consommation des ressources. La solution proposee permet la construction locale et a distance d'un comportement normal en fonction de differents algorithmes de detection de comportements malicie...
Smart home gateways have to forward multi-sourced network traffic generated with different distri... more Smart home gateways have to forward multi-sourced network traffic generated with different distributions and with different Quality of Service (QoS) requirements. Most of the current QoS-aware scheduling methods consider only the conventional priority metrics based on the IP Type of Service (ToS) field to make decision for bandwidth allocation. Such priority-based scheduling methods are not optimal to provide both QoS and QoE (quality of experience) since higher-priority traffic do not necessary require higher stringent delay than lower-priority traffic. To solve the gaps between QoS and QoE, we propose a new queuing model for QoS-level Pair traffic with mixed arrival distributions in Smart Home network (QP-SH) to make a dynamic QoS-aware scheduling decision which meets delay requirements of all traffic while preserves their degrees of criticality. A new metric which combines, the ToS field and the maximum number of packets that can be processed by the system's service during th...
Smart home gateways have to forward multi-sourced network traffic generated with different distri... more Smart home gateways have to forward multi-sourced network traffic generated with different distributions and with different Quality of Service (QoS) requirements. State-of-the-art QoS-aware scheduling methods consider only the conventional priority metrics based on the IP Type of Service (ToS) field to make a decision for bandwidth allocation. Such priority-based scheduling methods are not optimal to provide both QoS and Quality of Experience (QoE) since higher priority traffic may not require lower delay than lower-priority traffic (for example traffic generated from medical sensors has a higher priority than traffic from streaming devices but the latter one requires lower maximum delay). To solve the gaps between QoS and QoE, we propose a new queuing model for QoS-level Pair traffic with mixed arrival distributions in smart home network (QP-SH) to make dynamic QoS-aware scheduling decisions meeting delay requirements of all traffic while preserving their degrees of criticality. A new metric which combines the ToS field and the maximum number of packets that can be processed by the system's service during the maximum required delay is defined. Our experiments show the proposed solution increases 15% of packets that meet their priorities and 40% of packets that meet their maximum delays as well as 25% of the total number of packets in the system. INDEX TERMS Quality of service, quality of experience, smart home, traffic scheduling optimization
Smart home gateway has to process different types of network traffic generated from several devic... more Smart home gateway has to process different types of network traffic generated from several devices in an optimal way to meet their Quality-of-Service (QoS) requirements. However, the fluctuation of network traffic distributions results in packets concurrency. Current QoS-aware scheduling methods in smart home networks do not consider concurrent traffic in their scheduling solutions. This article presents an analytic model for a QoS-aware scheduling optimization of concurrent smart home network traffic with mixed arrival distributions and using probabilistic queuing disciplines. We formulate a hybrid QoS-aware scheduling problem for concurrent traffic in smart home network, propose an innovative queuing design based on the auction economic model of the game theory to provide a fair multiple access over different communication channels/ports, and design an applicable model to implement auction game on both sides; traffic sources and the home gateway, without changing the structure of the IEEE 802.11 standard. Our experiments show the proposed solution achieves an improvement of 14% of packets that meet their required delay and 57% of delay for different number of concurrent flows in the system.
2019 15th International Conference on Network and Service Management (CNSM), 2019
Smart home gateway has to process different types of network traffic generated from several devic... more Smart home gateway has to process different types of network traffic generated from several devices in an optimal way to meet their QoS requirements. However, the fluctuation of network traffic distributions results in packets concurrency. Current QoS-aware scheduling methods in the smart home networks do not consider concurrent traffic in their scheduling solutions. This paper presents an analytic model for a QoS-aware scheduling optimization of concurrent smart home network traffic with mixed arrival distributions and using probabilistic queuing disciplines. We formulate a hybrid QoS-aware scheduling problem for concurrent traffics in smart home network, and propose an innovative queuing design based on the auction economic model of game theory to provide a fair multiple access over different communication channels/ports. Our experiments show the proposed solution achieves an improvement of 14% of packets that meet their required delay and 57% of delay for different number of conc...
Community networks are evolving rapidly to include heterogeneous physical access (both wired and ... more Community networks are evolving rapidly to include heterogeneous physical access (both wired and wireless) and a large number of smart devices that generate different types of traffic. In addition, a variety of applications (VoIP, messaging, video, etc.) with different requirements is putting more constraints in community networks such as delay, packet loss, and bandwidth. Due to its particular architecture, which is very dense and very dynamic, the traditional one-pair-node shortest path solution, which is currently used in metro or WAN networks, is no longer efficient in community networks. This paper presents an analytical framework for dynamically optimizing data flows in community network using Software-defined networking (SDN). We formulate a QoS-based routing optimization problem as a constrained shortest path problem, and then propose an optimized solution to determine minimal cost between all pairs of nodes in the network taking into account the different types of physical ...
Home networks are evolving rapidly to include heterogeneous physical access and a large number of... more Home networks are evolving rapidly to include heterogeneous physical access and a large number of smart devices that generate different types of traffic with different distributions and different Quality of Service (QoS) requirements. Due to their particular architectures, which are very dense and very dynamic, the traditional one-pair-node shortest path solution is no longer efficient to handle inter-smart home networks (inter-SHNs) routing constraints such as delay, packet loss, and bandwidth in all-pair node heterogenous links. In addition, Current QoS-aware scheduling methods consider only the conventional priority metrics based on the IP Type of Service (ToS) field to make decisions for bandwidth allocation. Such priority based scheduling methods are not optimal to provide both QoS and Quality of Experience (QoE), especially for smart home applications, since higher priority traffic does not necessarily require higher stringent delay than lower-priority traffic. Moreover, curre...
Le reconditionnement des applications legitimes pour injecter du code malveillant, est un vecteur... more Le reconditionnement des applications legitimes pour injecter du code malveillant, est un vecteur d'attaque important ciblant les telephones intelligents Android. Cette attaque peut etre detectee principalement en surveillant le comportement des applications pour des ecarts potentiels. Toutefois, l'execution de cette approche de detection sur un environnement mobile n’est pas simple en raison de contraintes de ressources imposees par les telephones intelligents. Ce travail de recherche met l'accent sur la facilite d'utilisation des algorithmes de detection d'anomalies sur les systemes embarques a ressources limitees et propose un cadre de detection leger pour les dispositifs bases sur Android. Ce cadre permet de gerer le compromis entre la precision de detection et la consommation des ressources. La solution proposee permet la construction locale et a distance d'un comportement normal en fonction de differents algorithmes de detection de comportements malicie...
Smart home gateways have to forward multi-sourced network traffic generated with different distri... more Smart home gateways have to forward multi-sourced network traffic generated with different distributions and with different Quality of Service (QoS) requirements. Most of the current QoS-aware scheduling methods consider only the conventional priority metrics based on the IP Type of Service (ToS) field to make decision for bandwidth allocation. Such priority-based scheduling methods are not optimal to provide both QoS and QoE (quality of experience) since higher-priority traffic do not necessary require higher stringent delay than lower-priority traffic. To solve the gaps between QoS and QoE, we propose a new queuing model for QoS-level Pair traffic with mixed arrival distributions in Smart Home network (QP-SH) to make a dynamic QoS-aware scheduling decision which meets delay requirements of all traffic while preserves their degrees of criticality. A new metric which combines, the ToS field and the maximum number of packets that can be processed by the system's service during th...
Smart home gateways have to forward multi-sourced network traffic generated with different distri... more Smart home gateways have to forward multi-sourced network traffic generated with different distributions and with different Quality of Service (QoS) requirements. State-of-the-art QoS-aware scheduling methods consider only the conventional priority metrics based on the IP Type of Service (ToS) field to make a decision for bandwidth allocation. Such priority-based scheduling methods are not optimal to provide both QoS and Quality of Experience (QoE) since higher priority traffic may not require lower delay than lower-priority traffic (for example traffic generated from medical sensors has a higher priority than traffic from streaming devices but the latter one requires lower maximum delay). To solve the gaps between QoS and QoE, we propose a new queuing model for QoS-level Pair traffic with mixed arrival distributions in smart home network (QP-SH) to make dynamic QoS-aware scheduling decisions meeting delay requirements of all traffic while preserving their degrees of criticality. A new metric which combines the ToS field and the maximum number of packets that can be processed by the system's service during the maximum required delay is defined. Our experiments show the proposed solution increases 15% of packets that meet their priorities and 40% of packets that meet their maximum delays as well as 25% of the total number of packets in the system. INDEX TERMS Quality of service, quality of experience, smart home, traffic scheduling optimization
Smart home gateway has to process different types of network traffic generated from several devic... more Smart home gateway has to process different types of network traffic generated from several devices in an optimal way to meet their Quality-of-Service (QoS) requirements. However, the fluctuation of network traffic distributions results in packets concurrency. Current QoS-aware scheduling methods in smart home networks do not consider concurrent traffic in their scheduling solutions. This article presents an analytic model for a QoS-aware scheduling optimization of concurrent smart home network traffic with mixed arrival distributions and using probabilistic queuing disciplines. We formulate a hybrid QoS-aware scheduling problem for concurrent traffic in smart home network, propose an innovative queuing design based on the auction economic model of the game theory to provide a fair multiple access over different communication channels/ports, and design an applicable model to implement auction game on both sides; traffic sources and the home gateway, without changing the structure of the IEEE 802.11 standard. Our experiments show the proposed solution achieves an improvement of 14% of packets that meet their required delay and 57% of delay for different number of concurrent flows in the system.
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Papers by Maroua Ben Attia