The Experts below are selected from a list of 57 Experts worldwide ranked by ideXlab platform

Olivier Togni - One of the best experts on this subject based on the ideXlab platform.

  • MSPN - IoT Service QoS guarantee Using QBAIoT Wireless Access Method
    Mobile Secure and Programmable Networking, 2019
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing Internet of Things (IoT) environments with service level guarantee is a challenging task. We describe in this paper a service level based IoT architecture that enables an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider and an IoT Client. This IoT SLA specifies the requirements of an IoT service in a specific application domain (e-health, smart cities, etc.). In order to guarantee these requirements, QoS mechanisms should be implemented within the IoT architecture. Thus, we propose an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism to ensure the requirements of an IoT e-health service. Our approach called QBAIoT (QoS based Access for IoT) consists in creating different contention access periods corresponding to different specified traffic classes. Each of these periods within the QoS based adapted IEEE 802.15.4 superframe is specific for a traffic type. A QoS based contention access period called QoS CAP is configured with a number of slots during which only IoT objects belonging to the same QoS class can send data.

  • IoT Service QoS guarantee Using QBAIoT Wireless Access Method
    Mobile Secure and Programmable Networking, 2019
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing Internet of Things (IoT) environments with service level guarantee is a challenging task. We describe in this paper a service level based IoT architecture that enables an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider and an IoT Client. This IoT SLA specifies the requirements of an IoT service in a specific application domain (e-health, smart cities, etc.). In order to guarantee these requirements, QoS mechanisms should be implemented within the IoT architecture. Thus, we propose an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism to ensure the requirements of an IoT e-health service. Our approach called QBAIoT (QoS based Access for IoT) consists in creating different contention access periods corresponding to different specified traffic classes. Each of these periods within the QoS based adapted IEEE 802.15.4 superframe is specific for a traffic type. A QoS based contention access period called QoS CAP is configured with a number of slots during which only IoT objects belonging to the same QoS class can send data.

  • Self-Configuring IoT Service QoS guarantee Using QBAIoT
    Computers, 2018
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Providing Internet of Things (IoT) environments with service level guarantee is a challenging task for improving IoT application usage experience. We specify in this paper an IoT architecture enabling an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider (IoT-SP) and an IoT Client (IoT-C). In order to guarantee the IoT applications’ requirements, Quality of Service (QoS) mechanisms should be implemented within all the layers of the IoT architecture. Thus, we propose a specific mechanism for the lowest layer of our service level based IoT architecture (i.e., sensing layer). It is an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism enabling to take into consideration the requirements of real-time IoT services. Our access method called QBAIoT (QoS based Access for IoT) extends IEEE 802.15.4 systems by creating a new contention access period for each specified traffic class in the iSLA. Furthermore, due to the huge number of IoT connected devices, self-configuring capability provisioning is necessary for limiting human intervention and total cost of ownership (TCO). Thus, we integrate a self-configuring capability to the QBAIoT access method by implementing the MAPE-K closed control loop within the IoT High Level Gateway (HL-Gw) of our proposed QoS based IoT architecture.

  • Service Level guarantee Framework for IoT environments
    2017
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing IoT environments with service level guarantee is a challenging task. We propose a framework for IoT service level guarantee thanks to several specific Service Level Agreements (SLAs) for IoT environments. We specify different SLAs for each entity contributing in our IoT architecture in order to conclude a global SLA called IoT-SLA (iSLA). These different SLAs enable IoT service provision with Quality of Service (QoS) guarantee. Achieving this guarantee requires several communications and interactions between the components of the proposed IoT architecture. These interactions allow an IoT Service Provider (IoT-SP) to conclude the iSLA with an IoT Client (IoT-C). We specify these interactions and communications between the different parties thanks to a specific Finite State Machine (FSM) and a Message Sequence Charts (MSC).

  • IML - Service level guarantee framework for IoT environments: full paper
    Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing IoT environments with service level guarantee is a challenging task. We propose a framework for IoT service level guarantee thanks to several specific Service Level Agreements (SLAs) for IoT environments. We specify different SLAs for each entity contributing in our IoT architecture in order to conclude a global SLA called IoT-SLA (iSLA). These different SLAs enable IoT service provision with Quality of Service (QoS) guarantee. Achieving this guarantee requires several communications and interactions between the components of the proposed IoT architecture. These interactions allow an IoT Service Provider (IoT-SP) to conclude the iSLA with an IoT Client (IoT-C). We specify these interactions and communications between the different parties thanks to a specific Finite State Machine (FSM) and a Message Sequence Charts (MSC).

Nader Mbarek - One of the best experts on this subject based on the ideXlab platform.

  • MSPN - IoT Service QoS guarantee Using QBAIoT Wireless Access Method
    Mobile Secure and Programmable Networking, 2019
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing Internet of Things (IoT) environments with service level guarantee is a challenging task. We describe in this paper a service level based IoT architecture that enables an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider and an IoT Client. This IoT SLA specifies the requirements of an IoT service in a specific application domain (e-health, smart cities, etc.). In order to guarantee these requirements, QoS mechanisms should be implemented within the IoT architecture. Thus, we propose an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism to ensure the requirements of an IoT e-health service. Our approach called QBAIoT (QoS based Access for IoT) consists in creating different contention access periods corresponding to different specified traffic classes. Each of these periods within the QoS based adapted IEEE 802.15.4 superframe is specific for a traffic type. A QoS based contention access period called QoS CAP is configured with a number of slots during which only IoT objects belonging to the same QoS class can send data.

  • IoT Service QoS guarantee Using QBAIoT Wireless Access Method
    Mobile Secure and Programmable Networking, 2019
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing Internet of Things (IoT) environments with service level guarantee is a challenging task. We describe in this paper a service level based IoT architecture that enables an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider and an IoT Client. This IoT SLA specifies the requirements of an IoT service in a specific application domain (e-health, smart cities, etc.). In order to guarantee these requirements, QoS mechanisms should be implemented within the IoT architecture. Thus, we propose an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism to ensure the requirements of an IoT e-health service. Our approach called QBAIoT (QoS based Access for IoT) consists in creating different contention access periods corresponding to different specified traffic classes. Each of these periods within the QoS based adapted IEEE 802.15.4 superframe is specific for a traffic type. A QoS based contention access period called QoS CAP is configured with a number of slots during which only IoT objects belonging to the same QoS class can send data.

  • Self-Configuring IoT Service QoS guarantee Using QBAIoT
    Computers, 2018
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Providing Internet of Things (IoT) environments with service level guarantee is a challenging task for improving IoT application usage experience. We specify in this paper an IoT architecture enabling an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider (IoT-SP) and an IoT Client (IoT-C). In order to guarantee the IoT applications’ requirements, Quality of Service (QoS) mechanisms should be implemented within all the layers of the IoT architecture. Thus, we propose a specific mechanism for the lowest layer of our service level based IoT architecture (i.e., sensing layer). It is an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism enabling to take into consideration the requirements of real-time IoT services. Our access method called QBAIoT (QoS based Access for IoT) extends IEEE 802.15.4 systems by creating a new contention access period for each specified traffic class in the iSLA. Furthermore, due to the huge number of IoT connected devices, self-configuring capability provisioning is necessary for limiting human intervention and total cost of ownership (TCO). Thus, we integrate a self-configuring capability to the QBAIoT access method by implementing the MAPE-K closed control loop within the IoT High Level Gateway (HL-Gw) of our proposed QoS based IoT architecture.

  • Service Level guarantee Framework for IoT environments
    2017
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing IoT environments with service level guarantee is a challenging task. We propose a framework for IoT service level guarantee thanks to several specific Service Level Agreements (SLAs) for IoT environments. We specify different SLAs for each entity contributing in our IoT architecture in order to conclude a global SLA called IoT-SLA (iSLA). These different SLAs enable IoT service provision with Quality of Service (QoS) guarantee. Achieving this guarantee requires several communications and interactions between the components of the proposed IoT architecture. These interactions allow an IoT Service Provider (IoT-SP) to conclude the iSLA with an IoT Client (IoT-C). We specify these interactions and communications between the different parties thanks to a specific Finite State Machine (FSM) and a Message Sequence Charts (MSC).

  • IML - Service level guarantee framework for IoT environments: full paper
    Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing IoT environments with service level guarantee is a challenging task. We propose a framework for IoT service level guarantee thanks to several specific Service Level Agreements (SLAs) for IoT environments. We specify different SLAs for each entity contributing in our IoT architecture in order to conclude a global SLA called IoT-SLA (iSLA). These different SLAs enable IoT service provision with Quality of Service (QoS) guarantee. Achieving this guarantee requires several communications and interactions between the components of the proposed IoT architecture. These interactions allow an IoT Service Provider (IoT-SP) to conclude the iSLA with an IoT Client (IoT-C). We specify these interactions and communications between the different parties thanks to a specific Finite State Machine (FSM) and a Message Sequence Charts (MSC).

Ahmad Khalil - One of the best experts on this subject based on the ideXlab platform.

  • MSPN - IoT Service QoS guarantee Using QBAIoT Wireless Access Method
    Mobile Secure and Programmable Networking, 2019
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing Internet of Things (IoT) environments with service level guarantee is a challenging task. We describe in this paper a service level based IoT architecture that enables an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider and an IoT Client. This IoT SLA specifies the requirements of an IoT service in a specific application domain (e-health, smart cities, etc.). In order to guarantee these requirements, QoS mechanisms should be implemented within the IoT architecture. Thus, we propose an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism to ensure the requirements of an IoT e-health service. Our approach called QBAIoT (QoS based Access for IoT) consists in creating different contention access periods corresponding to different specified traffic classes. Each of these periods within the QoS based adapted IEEE 802.15.4 superframe is specific for a traffic type. A QoS based contention access period called QoS CAP is configured with a number of slots during which only IoT objects belonging to the same QoS class can send data.

  • IoT Service QoS guarantee Using QBAIoT Wireless Access Method
    Mobile Secure and Programmable Networking, 2019
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing Internet of Things (IoT) environments with service level guarantee is a challenging task. We describe in this paper a service level based IoT architecture that enables an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider and an IoT Client. This IoT SLA specifies the requirements of an IoT service in a specific application domain (e-health, smart cities, etc.). In order to guarantee these requirements, QoS mechanisms should be implemented within the IoT architecture. Thus, we propose an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism to ensure the requirements of an IoT e-health service. Our approach called QBAIoT (QoS based Access for IoT) consists in creating different contention access periods corresponding to different specified traffic classes. Each of these periods within the QoS based adapted IEEE 802.15.4 superframe is specific for a traffic type. A QoS based contention access period called QoS CAP is configured with a number of slots during which only IoT objects belonging to the same QoS class can send data.

  • Self-Configuring IoT Service QoS guarantee Using QBAIoT
    Computers, 2018
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Providing Internet of Things (IoT) environments with service level guarantee is a challenging task for improving IoT application usage experience. We specify in this paper an IoT architecture enabling an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider (IoT-SP) and an IoT Client (IoT-C). In order to guarantee the IoT applications’ requirements, Quality of Service (QoS) mechanisms should be implemented within all the layers of the IoT architecture. Thus, we propose a specific mechanism for the lowest layer of our service level based IoT architecture (i.e., sensing layer). It is an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism enabling to take into consideration the requirements of real-time IoT services. Our access method called QBAIoT (QoS based Access for IoT) extends IEEE 802.15.4 systems by creating a new contention access period for each specified traffic class in the iSLA. Furthermore, due to the huge number of IoT connected devices, self-configuring capability provisioning is necessary for limiting human intervention and total cost of ownership (TCO). Thus, we integrate a self-configuring capability to the QBAIoT access method by implementing the MAPE-K closed control loop within the IoT High Level Gateway (HL-Gw) of our proposed QoS based IoT architecture.

  • Service Level guarantee Framework for IoT environments
    2017
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing IoT environments with service level guarantee is a challenging task. We propose a framework for IoT service level guarantee thanks to several specific Service Level Agreements (SLAs) for IoT environments. We specify different SLAs for each entity contributing in our IoT architecture in order to conclude a global SLA called IoT-SLA (iSLA). These different SLAs enable IoT service provision with Quality of Service (QoS) guarantee. Achieving this guarantee requires several communications and interactions between the components of the proposed IoT architecture. These interactions allow an IoT Service Provider (IoT-SP) to conclude the iSLA with an IoT Client (IoT-C). We specify these interactions and communications between the different parties thanks to a specific Finite State Machine (FSM) and a Message Sequence Charts (MSC).

  • IML - Service level guarantee framework for IoT environments: full paper
    Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
    Co-Authors: Ahmad Khalil, Nader Mbarek, Olivier Togni
    Abstract:

    Nowadays, providing IoT environments with service level guarantee is a challenging task. We propose a framework for IoT service level guarantee thanks to several specific Service Level Agreements (SLAs) for IoT environments. We specify different SLAs for each entity contributing in our IoT architecture in order to conclude a global SLA called IoT-SLA (iSLA). These different SLAs enable IoT service provision with Quality of Service (QoS) guarantee. Achieving this guarantee requires several communications and interactions between the components of the proposed IoT architecture. These interactions allow an IoT Service Provider (IoT-SP) to conclude the iSLA with an IoT Client (IoT-C). We specify these interactions and communications between the different parties thanks to a specific Finite State Machine (FSM) and a Message Sequence Charts (MSC).

Francine Krief - One of the best experts on this subject based on the ideXlab platform.

  • Towards global service level guarantee within autonomic computing systems
    2011
    Co-Authors: Nader Mbarek, Mohamed Aymen Chalouf, Francine Krief
    Abstract:

    In this paper, we specify a global service level guarantee including not only QoS but also security and taking into account user mobility. This global service level could be guaranteed within several autonomic computing systems managed by different autonomic domain managers. For that purpose, we propose an end-to-end Service Level Negotiation Protocol, called SLNP, to provide those autonomic managers with a negotiation capability. This allows achieving an agreement on the service level of each offered service between the different domains involved in the transport of that service. SLNP Implementation is made of Web Services technologies to enable interoperability in the negotiation process between different autonomic computing systems using heterogeneous technologies.

  • Integrated Network Management - Towards global service level guarantee within autonomic computing systems
    12th IFIP IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, 2011
    Co-Authors: Nader Mbarek, Mohamed Aymen Chalouf, Francine Krief
    Abstract:

    In this paper, we specify a global service level guarantee including not only QoS but also security and taking into account user mobility. This global service level could be guaranteed within several autonomic computing systems managed by different autonomic domain managers. For that purpose, we propose an end-to-end Service Level Negotiation Protocol, called SLNP, to provide those autonomic managers with a negotiation capability. This allows achieving an agreement on the service level of each offered service between the different domains involved in the transport of that service. SLNP Implementation is made of Web Services technologies to enable interoperability in the negotiation process between different autonomic computing systems using heterogeneous technologies.

Mohamed Aymen Chalouf - One of the best experts on this subject based on the ideXlab platform.

  • Towards global service level guarantee within autonomic computing systems
    2011
    Co-Authors: Nader Mbarek, Mohamed Aymen Chalouf, Francine Krief
    Abstract:

    In this paper, we specify a global service level guarantee including not only QoS but also security and taking into account user mobility. This global service level could be guaranteed within several autonomic computing systems managed by different autonomic domain managers. For that purpose, we propose an end-to-end Service Level Negotiation Protocol, called SLNP, to provide those autonomic managers with a negotiation capability. This allows achieving an agreement on the service level of each offered service between the different domains involved in the transport of that service. SLNP Implementation is made of Web Services technologies to enable interoperability in the negotiation process between different autonomic computing systems using heterogeneous technologies.

  • Integrated Network Management - Towards global service level guarantee within autonomic computing systems
    12th IFIP IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, 2011
    Co-Authors: Nader Mbarek, Mohamed Aymen Chalouf, Francine Krief
    Abstract:

    In this paper, we specify a global service level guarantee including not only QoS but also security and taking into account user mobility. This global service level could be guaranteed within several autonomic computing systems managed by different autonomic domain managers. For that purpose, we propose an end-to-end Service Level Negotiation Protocol, called SLNP, to provide those autonomic managers with a negotiation capability. This allows achieving an agreement on the service level of each offered service between the different domains involved in the transport of that service. SLNP Implementation is made of Web Services technologies to enable interoperability in the negotiation process between different autonomic computing systems using heterogeneous technologies.