Resource usage prediction for optimal and balanced provision of multimedia services

Kryftis, Yiannos; Mavromoustakis, Constandinos X.; Mastorakis, George; Pallis, Evangelos; Batalla, Jordi Mongay; Skourletopoulos, Georgios

doi:10.1109/camad.2014.7033245

Cited by 28 publications

(15 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we are exploring new 3-D coding tools, based on H.265 MV-HEVC and 3D-HEVC, to obtain further bandwidth reductions. Moreover, different network routing techniques such as [55] and resource allocation methods [56] can be applied for further delivery improvements.…”

Section: Discussionmentioning

confidence: 99%

Broadcasting Free-Viewpoint Television Over Long-Term Evolution Networks

Zarb

Debono

2016

IEEE Systems Journal

View full text Add to dashboard Cite

Recent advances in mobile device technology, cellular networks, and multimedia coding have paved the way for a wide range of innovative multimedia services that can be delivered to mobile users. An interesting application is free-viewpoint television (FTV), which allows the viewer to interactively select the scene viewing angle. Conveying this service over cellular networks is very challenging due to the large bandwidth requirements and limitations in computational power, memory, and battery resources on mobile terminals. Moreover, providing FTV over mobile systems necessitates new means for quality evaluation, which consider cellular network parameters. To address these challenges, we propose a scalable FTV broadcast architecture for long-term evolution cellular networks. To alleviate complex processing on mobile receivers, depth maps are estimated in the cloud and transmitted along the multiview video. Moreover, a novel depth image-based rendering technique is developed to improve quality while minimizing processing load on the mobile terminal, giving typical peak signal-to-noise ratio gains of 2 dB. Experimental results reveal that, for a satisfactory rendering quality, bit-rate savings of more than 70% are achieved compared with simulcast transmission. Furthermore, subjective tests indicate that this solution improves the perceived quality considerably. Finally, we study the impact of handovers induced in mobile systems on the quality of experience.Index Terms-Depth image-based rendering (DIBR), free-viewpoint television (FTV), long-term evolution (LTE), multiview video coding (MVC), multiview video plus depth (MVD), quality of experience (QoE), 3-D video.

show abstract

Section: Discussionmentioning

confidence: 99%

Broadcasting Free-Viewpoint Television Over Long-Term Evolution Networks

Zarb

Debono

2016

IEEE Systems Journal

View full text Add to dashboard Cite

show abstract

“…The DNS-like approaches [9][10][11][12], collect information on available content replicas (including codec information), content server status and network conditions, then use it for best content source selection, achieving in principle a globally optimal solution. However, an intermediate service layer is needed (called simply CAN) for managing the information that arrived from different entities and controlling the end-to-end content delivery.…”

Section: Related Work and Research Motivationmentioning

confidence: 99%

Evolutionary Multiobjective Optimization algorithm for multimedia delivery in critical applications through Content-Aware Networks

et al. 2016

Self Cite

View full text Add to dashboard Cite

Critical applications which need to deliver multimedia through the Internet, may achieve the required quality of service thanks to the Content-Aware Networks (CAN). The key element of CAN is an efficient decision algorithm responsible for the selection of the best content source and routing paths for content delivery. This paper proposes a two-phase decision algorithm, exploiting the Evolutionary Multiobjective Optimization (EMO) approach. It allows to consider valid information in different time scales, adapting decision-maker to the evolving network and server conditions as well as to get the optimal solution in different shapes of Pareto front. The simulation experiments performed in a large-scale network model, confirm the effectiveness of the proposed two-phase EMO algorithm, comparing to other multi-criteria decision algorithms used in CAN.

show abstract

“…Furthermore, in the work of Kryftis et al . , there are different views from different perspectives on the CR paradigm and the new trends in reconfiguration, adaptation and improvement of resource manipulation in these systems. Moreover, Najafi et al .…”

Section: Related Work and Research Motivationmentioning

confidence: 99%

“…Through the proposed algorithm, each node comparatively estimates the differential and dissimilar sleep–wake schedules for each of its traffic moments. In this work, the sleep–wake schedules and the resource prediction are established on the traffic difference through time and the relative nodal capacity and the associated traffic characteristics. The proposed model ensures that resources will be available for a specified time duration, while it minimizes the energy that is consumed during the resource sharing process .…”

Section: Related Work and Research Motivationmentioning

confidence: 99%

Energy‐efficient management using a traffic‐oriented routing scheme for cognitive radio networks

et al. 2015

Self Cite

View full text Add to dashboard Cite

SUMMARYThis paper elaborates on a traffic manipulation routing scheme that associates the moments of the traffic, targeting the maximization of the energy conservation, as well as the effective resource management of the network nodes. The energy conservation is achieved through the data flow coordination, in association with the data traffic volume and the resource exchange, between the nodes that exploit radio spectrum access in cognitive radio networking architectures. The routing scheme that is proposed in this paper interrelates the backward difference of traffic moments for each node based on a series model, together with the sleep-time period, towards reflecting this measurement to the minimization of the nodes activity durations to achieve energy conservation. The effective operation of the routing scheme is achieved by exploiting a signalling mechanism that was adopted for the proper communication of the nodes over the available radio spectrum parts, such as the television white spaces. Simulation tests were conducted towards examining the validity of the proposed routing scheme via multiple performance evaluation experiments. Simulation results have shown the offered reliability and the efficiency of the proposed traffic-aware scheme, in reference to the efficient energy consumption of the networking nodes and the minimization of the delays.

show abstract

Resource usage prediction for optimal and balanced provision of multimedia services

Cited by 28 publications

References 16 publications

Broadcasting Free-Viewpoint Television Over Long-Term Evolution Networks

Broadcasting Free-Viewpoint Television Over Long-Term Evolution Networks

Evolutionary Multiobjective Optimization algorithm for multimedia delivery in critical applications through Content-Aware Networks

Energy‐efficient management using a traffic‐oriented routing scheme for cognitive radio networks

Contact Info

Product

Resources

About