Available Bandwidth Probing for path selection in heterogeneous home Networks

Olvera-Irigoyen, Oscar; Kortebi, Abdesselem; Toutain, Laurent

doi:10.1109/glocomw.2012.6477622

Cited by 14 publications

(3 citation statements)

References 3 publications

(7 reference statements)

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“…However, it does not take into account the fact that users do not have dedicated network resources when using wireless technologies. In general, Olvera-Irigoyen et al have shown that determining the actual available bandwidth on the links has a big impact on the results of load balancing the flows in a (wireless) network, in particular with time-varying capacity Wi-Fi and Power line communication (PLC) links [20]. Recent load balancing solutions for LANs focus also on energy optimization by, for instance, selecting the most energy efficient link while still providing a good QoS [21,22].…”

Section: Load Balancing In Heterogeneous Networkmentioning

confidence: 99%

“…A key element for determining an optimal configuration is to have an accurate overview of the available bandwidth per BSS. The big impact of determining the actual available bandwidth of wireless links on the results of load balancing approaches has been shown in literature [20,32]. The actual bandwidth of wireless technologies depends on several parameters such as the theoretical physical bandwidth, the configuration of APs, the interference of other devices within or outside the network, and the number of traffic in the network.…”

Section: Parameter Estimationmentioning

confidence: 99%

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Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks

2019

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The number of connected devices has reached 18 billion in 2017 and this will nearly double by 2022, while also new wireless communication technologies become available. Since these modern devices support the use of multiple communication technologies, efforts have been made to enable simultaneous usage and handovers between the different technologies for these devices. However, existing solutions are missing the intelligence to decide on fine-grained (e.g. flow or packet level) optimizations that can drastically enhance the network's performance (e.g., throughput) and user experience. To this extent, we present a multi-technology flow-management load balancing approach for heterogeneous wireless networks that dynamically re-routes traffic through heterogeneous networks, in order to maximize the global throughput. This dynamic approach can be deployed on top of existing solutions and takes into account the specific characteristics of the different technologies, as well as station mobility. We both present a mathematical problem formulation and a heuristic that ensures practical scalability. We demonstrate the heuristic's ability to increase the network-wide throughput by more than 100 % across a variety of scenarios and scalability up to 10000 devices.

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Section: Load Balancing In Heterogeneous Networkmentioning

confidence: 99%

Section: Parameter Estimationmentioning

confidence: 99%

Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks

2019

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“…The proposed algorithm is based on the Wardrop equilibrium and does not take into account the fact that users do not have dedicated network resources when using wireless technologies. In general, it was shown that determining the actual available bandwidth on the links has a big impact on the results of distributing the flows [20]. Recent load balancing solutions focus also on energy optimization.…”

Section: B Load Balancing In Heterogeneous Local Area Network (Lans)mentioning

confidence: 99%

ORCHESTRA: Enabling Inter-Technology Network Management in Heterogeneous Wireless Networks

Schepper

Bosch

Zeljković

et al. 2018

IEEE Trans. Netw. Serv. Manage.

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Modern connected devices are equipped with the ability to connect to the Internet using a variety of different wireless network technologies. Current network management solutions fail to provide a fine-grained, coordinated, and transparent answer to this heterogeneity, while the lower layers of the OSI stack simply ignore it by providing full separation of layers. To address this, we propose the ORCHESTRA framework to manage the different devices in heterogeneous wireless networks and introduce capabilities such as packet-level dynamic and intelligent handovers (both inter-and intra-technology), load balancing, replication, and scheduling. The framework is the first of its kind in providing a fine-grained packet-level control across different technologies by introducing a fully transparent virtual MAC layer and an SDN-like controller with global intelligence. Furthermore, we present a novel optimization problem formulation that can be solved to optimally configure the network. We provide a thorough evaluation through simulations and a prototype implementation. We show that our framework enables, in a real-life setting, transparent and real-time inter-technology handovers and that coordinated load balancing can double the network-wide throughput across different scenarios.

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Orchestration of heterogeneous wireless networks: State of the art and remaining challenges

Bosch¹,

Schepper²,

Zeljković³

et al. 2020

Computer Communications

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Available Bandwidth Probing for path selection in heterogeneous home Networks

Cited by 14 publications

References 3 publications

Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks

Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks

ORCHESTRA: Enabling Inter-Technology Network Management in Heterogeneous Wireless Networks

Orchestration of heterogeneous wireless networks: State of the art and remaining challenges

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