C. Lee and D. Siewiorek. An Approach for Quality of Service Management. Technical Report CMU-CS-98-165, Computer Science Department, CMU, October 1998.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... where the benefit functions are continuous and convex [32] using the same algorithm as [16] and an approximation for the case where the benefit functions have discontinuities and are almost convex [33] Lee extended Rajkumar et al. s work to address applications with discrete benefit functions [24], a model that is essentially the same as QoS Levels. This work is relevant as a theoretical model, but the results are largely untested in an actual soft real time system. Abdelzaher et al. use a very similar notion of QoS Levels to support automated flight control processes distributed over a ....

C. Lee and D. Siewiorek, "An Approach for Quality of Service Management", CMU Technical Report #CMU-CS-98-165, October 1998.

....changes in the operating environment. But these mechanisms are still mainly system oriented in that a user has limited influence over the quality of the service to be delivered or adapted. In coping with the shortage of QoS support from an enduser point of view, we proposed a basic framework [15, 17, 23] that enables the end users to give guidance on the qualities they care about and the tradeoffs they are willing to make under potential resource constraints. Working from the user s perspective and maximizing the user perceived quality or utility has also been addressed in [13, 3, 4] In [13] a ....

....application to adapt to its network environment, e.g. by trading off the volume (and with it the quality) of the data to be transfered and the time needed for the transfer. Their mechanism coincides with one of our schemes for implementing the resource tradeoff (r = i q) The model defined in [17] can be considered a generalization of [4] 2. Problem Taxonomy and Modeling 2.1. Quality Dimensions Consider a video conferencing system which deals with real time audio and video data streams being encrypted and transmitted across potentially unreliable networks. In this context, we consider ....

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C. Lee and D. Siewiorek. An Approach for Quality of Service Management. Technical Report CMU-CS-98-165, Computer Science Department, CMU, Oct. 1998.

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C. Lee and D. Siewiorek. An Approach for Quality of Service Management. Technical Report CMU-CS-98-165, Computer Science Department, CMU, October 1998.

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C. Lee and D. Siewiorek. An Approach for Quality of Service Management. Technical Report CMU-CS-98-165, Computer Science Department, CMU, Oct. 1998.

....user interface part to synthesize or digitize quality utility data, as it could significantly reduce the quality space searched by the QoS management optimizer. 5 Issues on Algorithm Choice and Methodology 5.1 Algorithm Design Issues Solution Quality vs. Computational Complexity As is shown in [28] the QoS management optimization problems are NP hard. As a consequence, there are no optimal solution techniques other than an (possibly complete) enumeration of the solution space. On the other hand, QoS management calls for on line solutions as the optimization module will ideally be in the ....

C. Lee and D. Siewiorek. An Approach for Quality of Service Management. Technical Report CMU-CS-98-165, Computer Science Department, CMU, October 1998.

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Chen Lee and Dan Siewiorek, An Approach for Quality of Service Management, In Tech. Report CMU-CS-98-165, 1998.

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