Ubiquitous Video Streaming: A System Perspective

Gerla, Mário; Chen, Ling-Jyh; Sun, Tony; Yang, Guang

doi:10.1007/0-387-23466-7_10

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Much of the work on cross layer optimizations has focused on optimizations at the network edges primarily for wireless technologies. In [17], a system that combines seamless handoff with adaptive video streaming is presented. Using an Eligible Rate Estimate, the quality of the video is dynamically adjusted to offer the user, uninterrupted video at the best quality that can be sustained.…”

Section: Cross Layer Techniquesmentioning

confidence: 99%

Content and Context Aware Networking Using Semantic Tagging

Kodeswaran

Joshi

2006

22nd International Conference on Data Engineering Workshops (ICDEW'06)

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Today's model of networking primarily concentrates intelligence at the end hosts with the network itself offering a simple"best-effort","data agnostic" communication medium. However, this paradigm has proven to be insufficient to meet todays needs considering the diversity of applications and devices that are networked. To offer value added services to these end users and applications, more and more intelligence needs to be migrated away from the edges and into the network in a controlled and tractable manner. In this paper, we present our approach of utilizing semantic data tagging to provide content level information for data streams flowing through a network. A policy based management mechanism is utilized within the network fabric allowing routers to reason over the content and make intelligent decisions regarding the handling of data packets. Service differentiation, in-network content adaptation, traffic monitoring and control etc. are some of the new services that can now be offered by the network in a generic and flexible manner. By deploying our proposed architecture, a network need no longer be viewed as a simple data transport medium but rather as a policy-controlled intelligent packet/stream processor that can offer specialized handling based on application needs.

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Section: Cross Layer Techniquesmentioning

confidence: 99%

Content and Context Aware Networking Using Semantic Tagging

Kodeswaran

Joshi

2006

22nd International Conference on Data Engineering Workshops (ICDEW'06)

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Spatial Information Service Model and Considerations in u-City

Cho

Park

2013

2013 International Conference on IT Convergence and Security (ICITCS)

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This study proposes the use of a service classification model to determine systematic service in ubiquitous environments. In addition, we identified various issues by analyzing the results and applying them to spatial information services based on ubiquitous environments. Keywords-ubiquitous service considerations, service classification model, spatial information service I. CLASSIFICATION OF SPATIAL INFORMATION SERVICE MODEL OF A UBIQUITOUS ENVIRONMENTIn order to systematically design a service for a ubiquitous environment, a suitable service model classification should be identified. From this classification, it is possible to identify the unique characteristics of the ubiquitous service and to design a new service. This paper suggests a new service classification model, focusing on services offered and customer characteristics, that considers the limitations of previous ubiquitous service model classifications and the characteristics of the spatial information industry. Fig. 1. New Ubiquitous Service Classification ModelCustomer focus, one of the classification axes, consists of the individual, corporation and public institutions. Offering focus, which is another axis of the classification method, was developed by improving the classification of intelligence levels, which was refined in previous studies of ubiquitous service models. II. CONSIDERATIONS OF DESIGNING A SERVICE MODELThe service characteristics, from the view of the customer and technology in a ubiquitous environment, which were studied in previous research, and the spatial information services are summarized in the following table. The characteristics were defined by three GIS experts who were interviewees to help our study. TABLE I. CONSIDERATIONS Viewpoint Considerations Researchers Technology -Spatial information awareness -Stability of service -Inference of context -Safety of privacy [1], [2], [3] Customers -Individually customized service -Accuracy of spatial information -Newest spatial information -Response rate of service -Convenience of terminal environment [4], [5], [6] III. EVALUATION OF EACH SERVICE MODEL'S CONSIDERATIONSWe investigated u-spatial information service cases that represented an attribution for each cell. We distributed questionnaires to experts in the field, asking about the considerations of each of the u-service cases in ubiquitous service fields. We surveyed 47 experts who were currently participating in projects related to u-service and GIS.978-1-4799-2845-3/13/$31.00 ©2013 IEEE

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Ubiquitous Video Streaming: A System Perspective

Cited by 2 publications

References 18 publications

Content and Context Aware Networking Using Semantic Tagging

Content and Context Aware Networking Using Semantic Tagging

Spatial Information Service Model and Considerations in u-City

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