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K. Nahrstedt, A. Hossain, S.-M. Kang. A Probe-based Algorithm for QoS Specification and Adaptation, in Proc. of 4th IFIP Intl. Workshop on QoS (IWQoS), 1996.

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Neural Network-based Interactive Multicriteria Decision.. - Magoulas, Ghinea   (Correct)

....3. The last approach is, in essence, a more restrictive version of the first. What happens here is that the user is played short duration probes of differing deliverable qualities of the multimedia material in question and (s)he then specifies which of the given sample qualities is acceptable [11]. Apart from the obvious goal of polling user preferred multimedia quality the probebased approach is advantageous from the point of view that it tests current network conditions. Thus, any choice that the user might make in as far as desired multimedia quality goes is guaranteed to be delivered ....

K. Nahrstedt, K., A. Hossain and S. Kang, "A Probe-based Algorithm for QoS Specification and Adaptation", Proceedings of the 4 th International Workshop on QoS (IWQoS), Paris, France, March 6-8, pp. 115 - 124, 1996.


Quality Of Service For Perceptual Considerations: An.. - Ghinea, Magoulas   (Correct)

....parameters[5] The last approach is, in essence, a more restrictive version of the first. What happens here is that the user is played short duration probes of differing qualities of the multimedia material in question and (s)he then specifies which of the given sample qualities is acceptable [6]. Thus, any choice that the user might make in as far as desired multimedia quality goes is guaranteed to be delivered at least in the initial stages by the network. We have addressed the problem of bridging the applicationnetwork gap from a multi attribute decision making perspective. We ....

K. Nahrstedt, K., A. Hossain and S. Kang, A Probe-based Algorithm for QoS Specification and Adaptation, Proceedings of the 4 th International Workshop on QoS (IWQoS), Paris, France, 1996.


Predictive Modeling of End-User Quality of Service for.. - Dixit, Vouk, Bitzer (1997)   (Correct)

....such assistance. It is obvious that end user participation in specification, monitoring and negotiation of the QoS is important either directly or through the agency of the application they are using. There are a number of end user QoS models, and offer corresponding experimental implementations ([17], 9] 7] but to the best of our knowledge, none have been widely accepted. 3 Predictive QoS Control The fact that QoS, at least in the NBE context, should be managed, negotiated and addressed using methods which involve active end user participation [18] implies a set of predictive ....

....QoS guarantees for which a more predictive and preventive approach seems appropriate. A predictive scheme is more attractive than reactive schemes because it allows for a probabilistic evaluation of the QoS likely to be available in the future. An example of very short term prediction approach is [17]. In the presence of accurate predictions of future QoS, a client may for example, be able to negotiate for a QoS which would decrease the probability of violation (e.g. choose a media delivery mode which is compatible with the bandwidth forecasted to be available or negotiate a Historical ....

Klara Nahrstedt, Ashfaq Hossain, and Sung-Mo Kang. A Probe Based Algorithm for QoS Specification and Adaptation. In Proceedings of the 4th IFIP Workshop on QoS, IWQOS'96, Paris, France. GMD-Forschungszentrum Informationstechnik GmbH, -53754 Sankt Augustin, 1996.


QoS-Aware Resource Management for Distributed Multimedia.. - Nahrstedt, Chu, Narayan (1998)   (46 citations)  Self-citation (Nahrstedt)   (Correct)

.... that in order for the resource broker to perform admission control, it must have the knowledge about the resource amount requested (e.g. processing time of a process thread task) If the client does not know the request amount, then it can acquire this information through the probing service [NHK96] done at the beginning of the application negotiation phase. This service determines statistical average of the requested resource amount and stores it in a QoS profile. The client relies and provides these values to the resource broker for admission control. The resource scheduler consists of ....

K. Nahrstedt, A. Hossain, and S. Kang. A Probe-based Algorithm for QoS Specification and Adaptation. In Proceedings of 4th IFIP Workshop on Quality of Service, pages 89--100, Paris, France, March 1996.


A Tuning System for Distributed Multimedia Applications - Nahrstedt, Qiao   (1 citation)  Self-citation (Nahrstedt)   (Correct)

....user statistically guaranteed video quality without user initiated changes. This means that the client side adapts to the system load caused by the uncontrolled server. Sending adaptive feedback from the client to the server at different time intervals around the degradation point is discussed in [NHK96] The results show that the server load heavily fluctuates under adaptation and the adaptation overhead is high. Hence, this is not a good scheme to incorporate into a tuning system when the tuning system should accommodate user initiated adaptation changes of QoS. Under this situation, a second ....

K. Nahrstedt, A. Hossain, and S. Kang. A probe-based algorithm for qos specification and adaptation. In Proceedings of 4th IFIP Workshop on Quality of Service, pages 89--100, Paris, France, March 1996.


Performance Comparison Of Video Transport Over ATM.. - Hossain, Kang, Horst   Self-citation (Hossain Kang)   (Correct)

....the strengths and weaknesses of such networks by observing the endhost behaviors. All the experimental runs reported in this work are based on fully functional Video Server (VS) and Video Client (VC) applications developed in the iPOINT (Illinois Pulsar Optical Interconnect) research group [1]. This group has developed fully functional 800Mbps ATM switch [2] along with software video applications (such as this VS) which generate traffic through the switch. Our Video Server (VS) is a multimedia storage server. The transmission rate from the VS can be varied in response to adaptation ....

Nahrstedt, K., Hossain, A., Kang, S. M., Probe-based Algorithm for QoS Specification and Adaptation, Quality of Service - Description Modeling and Management, Proceedings of the 4th International IFIP Workshop on Quality of Service (IWQoS96), pp 89-100, Paris, March 6-8, 1996.


MediaGuard: a model-based framework - For Building Streaming   (Correct)

No context found.

K. Nahrstedt, A. Hossain, S.-M. Kang. A Probe-based Algorithm for QoS Specification and Adaptation, in Proc. of 4th IFIP Intl. Workshop on QoS (IWQoS), 1996.


Building a Performance Model of Streaming Media.. - Cherkasova, Staley (2003)   (Correct)

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K. Nahrstedt, A. Hossain, S.-M. Kang. A Probe-based Algorithm for QoS Specification and Adaptation, in Proc. of 4th IFIP International Workshop on QoS (IWQoS'96), Paris, France, March, 1996.


A General Model for QoS Adaptation - Waddington And (1998)   (5 citations)  (Correct)

No context found.

K.Nahrstedt, A.Hossain and S. Kang, "Probebased Algorithm for QoS Specification and Adaptation", University of Illinois, QoS Workshop, Paris, 1995.


End-to-end QoS Provisioning through Resource Adaptation - Waddington, Hutchison (1998)   (1 citation)  (Correct)

No context found.

K.Nahrstedt, A.Hossain and S. Kang, "Probe-based Algorithm for QoS Specification and Adaptation", University of Illinois, QoS Workshop, Paris, 1995.


Specifying QoS for Multimedia Communications within.. - Waddington, Coulson, ..   (8 citations)  (Correct)

No context found.

K.Nahrstedt, A.Hossain, S. Kang, "Probe-based Algorithm for QoS Specification and Adaptation", University of Illinois, QoS Workshop, Paris, 1995.

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