Video streaming over the internet with optimal bandwidth resource allocation

Luo, Hongli; Shyu, Mei‐Ling; Chen, Shu‐Ching

doi:10.1007/s11042-007-0187-7

Cited by 9 publications

(3 citation statements)

References 27 publications

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“…[34][35][36][37][38]), we present a client-side controller. The advantages of client-side intelligence are reduced complexity of decision making (instead of the server that computes/applies individual strategies based on end-toend bandwidth for each client, the clients themselves calculate their own strategy) and the possibility for users to personalize the streaming strategies (i.e.…”

Section: Resultsmentioning

confidence: 99%

Client intelligence for adaptive streaming solutions

Jarnikov

Özçelebi

2011

Signal Processing: Image Communication

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Section: Resultsmentioning

confidence: 99%

Client intelligence for adaptive streaming solutions

Jarnikov

Özçelebi

2011

Signal Processing: Image Communication

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“…Research at the application layer QoS includes scalable video coding [10], transcoding [11], source coding [12], adaptive transmission [13], and rate control [14]. Adaptive transmission exploits the unequal importance of different packets to improve the endto-end quality of the video.…”

Section: Mobile Multimedia Qos Provision Architecturementioning

confidence: 99%

Quality of service provision in mobile multimedia - a survey

Luo

Shyu

2011

Hum. Cent. Comput. Inf. Sci.

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The prevalence of multimedia applications has drastically increased the amount of multimedia data. With the drop of the hardware cost, more and more mobile devices with higher capacities are now used. The widely deployed wireless LAN and broadband wireless networks provide the ubiquitous network access for multimedia applications. Provision of Quality of Service (QoS) is challenging in mobile ad hoc networks because of the dynamic characteristics of mobile networks and the limited resources of the mobile devices. The wireless network is not reliable due to node mobility, multi-access channel and multi-hop communication. In this paper, we provide a survey of QoS provision in mobile multimedia, addressing the technologies at different network layers and cross-layer design. This paper focuses on the QoS techniques over IEEE 802.11e networks. We also provide some thoughts about the challenges and directions for future research.

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“…The original interest in video Internet was discussed from multiple technical perspectives, for example optimized TCP/IP for video [2], workload sharing [3] and bandwidth control [4] The technical focus has shifted, however, toward service technology such as IPTV [5].…”

Section: B Related Workmentioning

confidence: 99%

Real-time human response network with its implications for mobile business model engineering

Yamakami¹

2011

5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)

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Business model engineering has recently witnessed a turning point in the history of the Internet. It is a real-time Web, which is different from the Internet of yesterday. This real-time Web is characterized by a network of real-time human responses. This has significant implications for mobile business ecosystems. The author presents a three-stage view of the Internet business models that lead to the real-time Web business model engineering of today. The author highlights some consequences of this turning point of the Internet from the perspective of business model engineering. The author discusses the implications for mobile business model engineering from this staged transition.

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Video streaming over the internet with optimal bandwidth resource allocation

Cited by 9 publications

References 27 publications

Client intelligence for adaptive streaming solutions

Client intelligence for adaptive streaming solutions

Quality of service provision in mobile multimedia - a survey

Real-time human response network with its implications for mobile business model engineering

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