The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Benjamin Baron - One of the best experts on this subject based on the ideXlab platform.
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Centrally-Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa AmmarAbstract:With over 300 billion vehicle trips made in the USA and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots. An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pickups by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on SDN that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Centrally Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa H. AmmarAbstract:With over 300 billion vehicle trips made in the United States and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots . An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pick-up by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on software-defined networking that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Offloading Massive Data onto Passenger Vehicles: Topology Simplification and Traffic Assignment
IEEE ACM Transactions on Networking, 2016Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De AmorimAbstract:Offloading is a promising technique for alleviating the ever-growing traffic load from infrastructure-based networks such as the Internet. Offloading consists in using alternative methods of Transmission as a cost-effective solution for network operators to extend their transport Capacity. In this paper, we advocate the use of conventional vehicles equipped with storage devices as data carriers whilst being driven for daily routine journeys. The road network can be turned into a large-Capacity Transmission System to offload bulk transfers of delay-tolerant data from the Internet. The challenges we address include how to assign data to flows of vehicles and while coping with the complexity of the road network. We propose an embedding algorithm that computes an offloading overlay where each logical link spans over multiple stretches of road from the underlying road infrastructure. We then formulate the data transfer assignment problem as a novel linear programming model we solve to determine the optimal logical paths matching the performance requirements of a data transfer. We evaluate our road traffic allocation scheme using actual road traffic counts in France. The numerical results show that 20% of vehicles in circulation in France equipped with only one Terabyte of storage can offload Petabyte transfers in a week.
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Software-Defined Vehicular Backhaul
2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
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Wireless Days - Software-defined vehicular backhaul
2014 IFIP Wireless Days (WD), 2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph Michael ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
Prométhée Spathis - One of the best experts on this subject based on the ideXlab platform.
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Centrally-Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa AmmarAbstract:With over 300 billion vehicle trips made in the USA and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots. An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pickups by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on SDN that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Centrally Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa H. AmmarAbstract:With over 300 billion vehicle trips made in the United States and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots . An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pick-up by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on software-defined networking that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Offloading Massive Data onto Passenger Vehicles: Topology Simplification and Traffic Assignment
IEEE ACM Transactions on Networking, 2016Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De AmorimAbstract:Offloading is a promising technique for alleviating the ever-growing traffic load from infrastructure-based networks such as the Internet. Offloading consists in using alternative methods of Transmission as a cost-effective solution for network operators to extend their transport Capacity. In this paper, we advocate the use of conventional vehicles equipped with storage devices as data carriers whilst being driven for daily routine journeys. The road network can be turned into a large-Capacity Transmission System to offload bulk transfers of delay-tolerant data from the Internet. The challenges we address include how to assign data to flows of vehicles and while coping with the complexity of the road network. We propose an embedding algorithm that computes an offloading overlay where each logical link spans over multiple stretches of road from the underlying road infrastructure. We then formulate the data transfer assignment problem as a novel linear programming model we solve to determine the optimal logical paths matching the performance requirements of a data transfer. We evaluate our road traffic allocation scheme using actual road traffic counts in France. The numerical results show that 20% of vehicles in circulation in France equipped with only one Terabyte of storage can offload Petabyte transfers in a week.
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Software-Defined Vehicular Backhaul
2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
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Wireless Days - Software-defined vehicular backhaul
2014 IFIP Wireless Days (WD), 2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph Michael ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
Hervé Rivano - One of the best experts on this subject based on the ideXlab platform.
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Centrally-Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa AmmarAbstract:With over 300 billion vehicle trips made in the USA and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots. An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pickups by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on SDN that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Centrally Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa H. AmmarAbstract:With over 300 billion vehicle trips made in the United States and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots . An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pick-up by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on software-defined networking that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Offloading Massive Data onto Passenger Vehicles: Topology Simplification and Traffic Assignment
IEEE ACM Transactions on Networking, 2016Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De AmorimAbstract:Offloading is a promising technique for alleviating the ever-growing traffic load from infrastructure-based networks such as the Internet. Offloading consists in using alternative methods of Transmission as a cost-effective solution for network operators to extend their transport Capacity. In this paper, we advocate the use of conventional vehicles equipped with storage devices as data carriers whilst being driven for daily routine journeys. The road network can be turned into a large-Capacity Transmission System to offload bulk transfers of delay-tolerant data from the Internet. The challenges we address include how to assign data to flows of vehicles and while coping with the complexity of the road network. We propose an embedding algorithm that computes an offloading overlay where each logical link spans over multiple stretches of road from the underlying road infrastructure. We then formulate the data transfer assignment problem as a novel linear programming model we solve to determine the optimal logical paths matching the performance requirements of a data transfer. We evaluate our road traffic allocation scheme using actual road traffic counts in France. The numerical results show that 20% of vehicles in circulation in France equipped with only one Terabyte of storage can offload Petabyte transfers in a week.
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Software-Defined Vehicular Backhaul
2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
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Wireless Days - Software-defined vehicular backhaul
2014 IFIP Wireless Days (WD), 2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph Michael ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
Yannis Viniotis - One of the best experts on this subject based on the ideXlab platform.
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Centrally-Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa AmmarAbstract:With over 300 billion vehicle trips made in the USA and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots. An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pickups by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on SDN that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Centrally Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa H. AmmarAbstract:With over 300 billion vehicle trips made in the United States and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots . An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pick-up by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on software-defined networking that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
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Software-Defined Vehicular Backhaul
2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
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Wireless Days - Software-defined vehicular backhaul
2014 IFIP Wireless Days (WD), 2014Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Joseph Michael ClarkeAbstract:The network of roads and highways is a promising candidate to help network operators offload their infrastructure and cope with the ever-growing amount of data exchanged on the Internet. By piggybacking data onto vehicles, roads can be turned into a large-Capacity Transmission System when considering the increasing number of journeys involving vehicles. The data to be transferred is opportunistically loaded on or off the vehicles at specific locations referred to as offloading spots. Two of the main challenges of such a System are how to assign the road paths matching the data transfer requirements and how much data to allocate to each flow of vehicles. We propose a centralized SDN-like architecture consisting of a central controller acting as a service broker and the offloading spots as SDN agents. The controller computes the road paths that accommodate the data transfer requirements and installs the corresponding forwarding states at each offloading spot along those paths. We describe our SDN-controlled offloading System and evaluate its performance using road traffic counts from France. Our numerical results show that the controller can achieve efficient and fair allocation of multiple data transfers between major cities of France. Each transfer successfully delivers over 10 PB of data within a week when considering that 10% of vehicles on the road are equipped with 1TB of storage.
Mostafa H. Ammar - One of the best experts on this subject based on the ideXlab platform.
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Centrally Controlled Mass Data Offloading Using Vehicular Traffic
IEEE Transactions on Network and Service Management, 2017Co-Authors: Benjamin Baron, Prométhée Spathis, Hervé Rivano, Marcelo Dias De Amorim, Yannis Viniotis, Mostafa H. AmmarAbstract:With over 300 billion vehicle trips made in the United States and 64 billion in France per year, network operators have the opportunity to utilize the existing road and highway network as an alternative data network to offload large amounts of delay-tolerant traffic. To enable the road network as a large-Capacity Transmission System, we exploit the existing mobility of vehicles equipped with wireless and storage capacities together with a collection of offloading spots . An offloading spot is a data storage equipment located where vehicles usually park. Data is transloaded from a conventional data network to the closest offloading spot and then shipped by vehicles along their line of travel. The subsequent offloading spots act as data relay boxes where vehicles can drop off data for later pick-up by other vehicles, depending on their direction of travel. The main challenges of this offloading System are how to compute the road path matching the performance requirements of a data transfer and how to configure the sequence of offloading spots involved in the transfer. We propose a scalable and adaptive centralized architecture built on software-defined networking that maximizes the utilization of the flow of vehicles connecting consecutive offloading spots. We simulate the performance of our System using real roads traffic counts for France. Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.
