Business-driven management of differentiated services

Rubio‐Loyola, Javier; Charalambides, Marinos; Aib, Issam; Serrat, Joan; Pavlou, George; Boutaba, Raouf

doi:10.1109/noms.2010.5488468

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…For many years, the telecoms industry has been providing services with guaranteed QoS to different customers using various levels such as the Integrated services (IntServ) [334] and the Differentiated services (DiffServ) models [335] . 5G networks will support new services such as ultra-reliable and low-latency communications (URLLC), enhanced mobile broadband (eMBB) and massive machine-type communications (mMTC).…”

Section: Business Model Development and Economic Challenges For 5g Nementioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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a b s t r a c tThe increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources.In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.Crown (A .A . Barakabitze). tems [1,2,3] . The increasing number of smart devices (e.g., tablets and smartphones) and the growing number of bandwidth-hungry mobile applications (e.g., live video streaming, online video gaming) which demand higher spectral efficiency than that of 4G systems are posing significant challenges in 5G. The Cisco Visual Networking Index (VNI) Forecast [4] predicts that IP video traffic will be 82% of all consumer Internet traffic by 2022, up from 75% in 2017. Mobile video traffic alone will account for 78% of the global mobile data traffic. W...

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Section: Business Model Development and Economic Challenges For 5g Nementioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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“…In previous work, we developed an approach for automatically deriving AC parameters, as part of a policy refinement process, from a business‐level perspective . This approach took a step towards bridging the gap between business value and configuration management by considering the influence of BIs when generating relevant configuration policies.…”

Section: A Simple Business‐driven Management Approachmentioning

confidence: 99%

“…In previous work, we developed an analytical approach for automatically deriving service control policy parameters for DiffServ QoS management, from a business‐level perspective , with the use of business indicators (BIs), which are indicators that reflect the business strategies of the ISPs. This previous work took a step towards bridging the gap between business value and configuration management by considering the influence of BIs when generating configuration policies.…”

Section: Introductionmentioning

confidence: 99%

Business‐driven policy optimization for service management

et al. 2015

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The performance of services offered by network operators has a direct impact on its reputation, on its revenue due to new customer subscriptions, and also on penalties that can apply when services are not provided to an acceptable quality level. Previous research on business-oriented network and service optimization has mainly focused on optimizing individual business indicators, such as profit and revenue, in isolation without analyzing the effect on network configurations and the subsequent impact on other indicators. Given that different business objectives are usually incompatible, a single network configuration cannot optimize them simultaneously. Determining the configuration and the associated trade-offs that satisfy multiple objectives is a complex task. This paper addresses this gap and presents a framework that derives policy configurations that optimize the business value of the network infrastructure. We describe a methodology to quantify\ud business functions considering the dynamics of network events, the dynamics of end-user service usage, the nature of the business indicators, and their relationships with the underlying control methods. The proposed approach addresses the complexity of the target problem through a surrogate-based optimization approach properly tailored to match our application domain needs. We evaluate the effectiveness of the proposed approach through experimentation in a simulation environment we developed over OPNETPeer ReviewedPostprint (author’s final draft

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