Name
Abstract | ||
|---|---|---|
A novel control method for fair resource allocation and maximization of the Quality of Service (QoS) levels of individual tasks is proposed. In the proposed adaptive QoS controller, resource utilization is assigned to each task through an online search for the fair QoS level based on the errors between the current QoS levels and their average. The proposed controller eliminates the need for precise detection of the consumption functions as in conventional feedback control methods. The computational complexity of the proposed method is also very low compared to straightforward methods solving a nonlinear problem. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TC.2007.39 | IEEE Trans. Computers |
Keywords | Field | DocType |
conventional feedback control method,fair qos level,current qos level,novel control method,fair qos management,adaptive resource allocation control,straightforward method,resource utilization,proposed controller,proposed adaptive qos controller,fair resource allocation,feedback control,resource allocation,computational complexity,consumption function,real time systems,resource management,computer aided manufacturing,adaptive control,quality of service,application software,quality management | Control theory,Computer science,Quality of service,Real-time computing,Adaptive quality of service multi-hop routing,Resource allocation,Adaptive control,Maximization,Computational complexity theory,Distributed computing,Online search | Journal |
Volume | Issue | ISSN |
56 | 3 | 0018-9340 |
Citations | PageRank | References |
18 | 0.87 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fumiko Harada | 1 | 30 | 7.03 |
| Toshimitsu Ushio | 2 | 159 | 41.14 |
| Yukikazu Nakamoto | 3 | 79 | 21.50 |