SDN APIs and Models for Two-Sided Resource Management in Broadband Access Networks

Gharakheili, Hassan Habibi; Sivaraman, Vijay; Vishwanath, Arun; Exton, Luke; Matthews, John; Russel, Craig

doi:10.1109/tnsm.2016.2615067

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…However, none of these works target service and resource-aware traffic management and optimization. On the other hand, in the context of QoS provisioning and resource optimization over smart networks, the body of literature is vast [22], and it covers different SDN-based networks, such as smart home networks [23] [24] and industrial networks [25] [26]. However, the management of a large number of heterogeneous flows to improve service and network performance over smart digital campus networks is still an open issue with many challenges.…”

Section: Related Workmentioning

confidence: 99%

Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

2020

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Recently, campuses have been embracing smart digital technologies in order to boost the efficiency of education and creativity. Thus, massive heterogeneous flows are generated as a result of multitude simultaneous access from several heterogeneous devices. This is putting pressure on campuses to make better management of their constrained resources and to ensure the required Quality of Service (QoS). In this paper, we propose a multi-flow management scheme over a software-defined smart digital campus network, named Service and Resource Aware Flow Management (SRAFM). Our approach offers a unified fully-programmable architecture, a distributed end-host-based flow characterization plane, and a centralized software-defined optimization model to efficiently manage heterogeneous flows. Network functionalities, including QoS aware routing and resource allocation optimization, are formulated as a mixed-integer linear programming problem. Due to its NP-hard complexity, we propose an approximation algorithm in a decomposed fashion based on Lagrangian Dual Decomposition (LDD) and subgradient methods to find an optimal solution for flow management. We evaluate our scheme from different aspects, including the number of simultaneous heterogeneous flows, QoS provisioning, characterization impacts, and network scalability. Compared to the well-known benchmarks in QoS aware routing and optimization problem, SWAY and LARAC, our simulation results conducted with a large number of flows over a smallscale network show promising performance. The proposed scheme significantly improves the cost reduction by 51% as compared to LARAC, the end-to-end delay by 21% and 34%, the bandwidth availability by 27% and 36%, and the QoS violation by 11% and 29% as compared to SWAY and LARAC, respectively. INDEX TERMS Smart digital campus, Internet of Things (IoT), Software-Defined Networking (SDN), flow characterization, Quality of Service (QoS), distributed rate allocation, and resource optimization.

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Section: Related Workmentioning

confidence: 99%

Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

2020

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“…PANE [8] proposes a set of network programmable interfaces that enable applications to query the network state and request a specialized treatment (e.g., bandwidth reservation). Similarly, the system in [10] allows users and content providers to request provisioning special lanes for certain flows (e.g., application-specific or device-specific) over the bottleneck access link from the broadband network operator. By contrast, in the approach proposed in this paper, the video application does not specify or exercise network control; instead, an SDN controller exposes network state information to application endpoints, and dynamically adapts provisioning in the network.…”

Section: Related Workmentioning

confidence: 99%

“…Other researchers find it useful to expose a network API to video applications [8,9,10], but their main focus is on request/control of bandwidth reservation per video stream over a short period of time. In our proposed approach, neither clients nor servers make any explicit request for resources.…”

Section: Introductionmentioning

confidence: 99%

Responsive high throughput congestion control for interactive applications over SDN-enabled networks

et al. 2018

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“…En una aproximación similar, Gharakheili et al [75] proponen que el nodo de acceso se conecte a un conmutador Ethernet SDN que a su vez se conecta a la red backhaul del ISP para proporcionar acceso a Internet. El conmutador SDN está controlado por un controlador SDN que se encuentra dentro de la red del ISP y expone APIs que son utilizadas tanto por el usuario final como por los proveedores de servicios de contenido (CSP) para gestionar de mejor manera el ancho de banda limitado del acceso a Internet.…”

Section: Redes Definidas Por Software (Sdn)unclassified

Contribución a las arquitecturas de virtualización de funciones de red y redes definidas por software aplicadas a las redes residenciales con gestión centrada en el usuario

Moyano¹,

Ricardo²

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This dissertation addresses three specific problems found nowadays in residential networks. Firstly, the restricted usability that residential networks offer due to the fact that a technical knowledge, which the majority of users lack, is required to exert management tasks. Secondly, the high degree of heterogeneity of the residential environment in terms of user profiles, end devices and network technologies. And thirdly, the limited flexibility of current network equipment to improve the connectivity service provided by the residential network, which makes it difficult to add new network functionalities required by today's multimedia services. According to the state of the art, the problems described above are the result of the Internet-like network model established for the residential network, which relies on a good level of technical expertise of administrators. Added to this is the lack of flexibility that current networking model presents to evolve a network service and adapt it to the dynamic, demanding and diverse requirements of, for example, multimedia applications and enterprise network services. In this context, the first contribution of this dissertation is the design of a new management architecture for residential networks that takes advantage of the new paradigms of Network Functions Virtualization (NFV) and Software Defined Networks (SDN) to allow using a user-centric approach and to facilitate its implementation. In this architecture, users actively participate in the management tasks of their own networks by using Residential Network Management applications, referred to as "RENEMA apps". These apps, which are adapted to the skills of an average user, allow customizing the network based on the user's preferences, improving the usability of the network and facing the high degree of heterogeneity that the residential environment presents. On the other hand, to facilitate the implementation of the usercentric approach, the architecture provides different Residential Network Services (RENESEs) to abstract the low-level network configuration and monitoring. Thus, RENEMA apps developers would not have to cope with them.

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SDN APIs and Models for Two-Sided Resource Management in Broadband Access Networks

Cited by 4 publications

References 22 publications

Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

Responsive high throughput congestion control for interactive applications over SDN-enabled networks

Contribución a las arquitecturas de virtualización de funciones de red y redes definidas por software aplicadas a las redes residenciales con gestión centrada en el usuario

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