Cross-layer quality-based resource reservation for scalable multimedia

Kovacs, A.; Gódor, István; Rácz, Sándor; Borsos, Tamas

doi:10.1016/j.comcom.2009.09.006

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…The approach combines the queuing and interference analyses to find the delay and power outage. Work in presents a static reservation scheme for variable bit rate multimedia traffic that takes into account the end user quality of experience. An adaptive modulation and coding scheme that supports the QoS of IP flows in the 3G LTE access network was proposed in .…”

Section: Related Workmentioning

confidence: 99%

Quality of service analysis and resource allocation scheme for Long‐Term Evolution network

Sallabi

Shuaib

2013

Int J Communication

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SUMMARY In this paper, we analyze the quality of service (QoS) framework supported by the Long‐Term Evolution standard and model the behavior of a finite‐state downlink wireless fading channel based on the configurations and system parameters provided by the 3GPP Long‐Term Evolution and provide experimental results. The model can be used to provide realistic physical layer input to evaluate the performance of algorithms at the upper layers. For example, the medium access control layer will use this data to test the performance of scheduling, admission control, power control, and so on. The QoS requirements at the physical layer, the data link layer, and the cross‐layer modeling are stated. Then, we present a QoS‐based call admission control algorithm that considers admission of calls for future start‐up as well as the immediate and hand‐off calls with a certain priority admission scheme. Analytical study based on two‐dimensional Markov chain is also provided. We then use a stochastic discrete event simulator to evaluate the performance of the call admission control algorithm. The results obtained for look‐ahead admission are compelling and indicate the usefulness of making advance resource reservations. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

Quality of service analysis and resource allocation scheme for Long‐Term Evolution network

Sallabi

Shuaib

2013

Int J Communication

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“…Although reservation has been proven effective in many situations, it also brings several negative effects on resources sharing and scheduling. Studies in [4][5][6][7][8][9][10][11][12][13][14][15][16][22][23][24][25] have shown that fixed-capability reservation will result in low resource utilization, and excessive reservation can lead to high rejection rate of requests. These inevitably have significant influences on utility-based computing environment [10], where systems wish to fully utilize their resources to obtain maximal profits with constraints of users' QoS requirements.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Redundant Reservation Strategy in Distributed High-performance Computing Environments

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2013

IJHIT

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In distributed high-performance computing environments, resource reservation mechanism is an effective approach to provide desirable quality of service for large-scale applications. However, conventional reservation service might result in lower resource utilization and higher rejection rate if it is excessively applied. Furthermore, redundant reservation policy has been widely applied in many practical systems with aiming to improve the reliability of application execution at runtime. In this paper, we proposed an adaptive redundant reservation strategy, which uses overlapping technique to implement reservation admission and enable resource providers dynamically determine the redundant degree at runtime. By overlapping a new reservation with an existing one, a request whose reservation requirements can not be satisfied in traditional way might be accepted. Also, by dynamically determining the redundant degree, our strategy can obtain optimal tradeoff between performance and reliability for distributed high-performance computing systems. Experimental results show that the strategy can bring about remarkably higher resource utilization and lower rejection rate when using redundant reservation service at the price of a slightly increasing of reservation violations.

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“…The design takes advantage of the characteristics of both application and MAC layer information to improve the video transmission quality of H.264 video. As described in Kovács et al (2010) proposed an approach that classifies multimedia packets into different classes, and depending on the underlying network conditions, only specific packets are transmitted. Their cross-design approach also exploits information from the MAC layer and the transport layer to optimize MPEG-4 video delivery and quality.…”

Section: Multimedia Communicationsmentioning

confidence: 99%