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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tsoi, K.Y.-L. Yu-Kwong Kwok |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong (Tsoi, K.Y.-L.) |
| Abstract | In this paper we present an extensive performance study of two modified EDF and RM scheduling algorithms which are enhanced to provide quality of service (QoS) guarantees for smoothed video data. With a probabilistic definition of QoS, we incorporate admission control conditions into the two algorithms. Furthermore, we also include a counter-based scheduling module as the core scheduling mechanism which adaptively adjusts the actual QoS levels assigned to requests. Our theoretical analysis of the two enhanced algorithms, called QEDF and QRM, shows that the QRM algorithm is more robust than the QEDF algorithm for different workload and utilization conditions. We also propose to use a new metric called meta-QoS to quantify the overall performance of a packet scheduler given a set of simultaneous requests. In our experiments, we find that the QRM algorithm can sustain a rather stable level of meta-QoS even when the workload and utilization levels are increased. On the other hand, the QEDF algorithm is found to be less desirable for a high level of utilization and a large number of requests. |
| Starting Page | 256 |
| Ending Page | 261 |
| File Size | 63137 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769502318 |
| ISSN | 10874089 |
| DOI | 10.1109/ISPAN.1999.778948 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-06-23 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Streaming media Admission control Scheduling algorithm Algorithm design and analysis Smoothing methods Degradation Testing Kelvin Data engineering Performance analysis |
| Content Type | Text |
| Resource Type | Article |
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