Name
Abstract | ||
|---|---|---|
In real-time embedded systems, there is requirement for adapting both energy consumption and Quality of Services (QoS) of tasks according to their importance. This paper proposes an adaptive power-aware resource allocation method to resolve a trade-off between the energy consumption and QoS levels according to their importance with guaranteeing fairness. The proposed resource allocator consists of two components: the total resource optimizer to search for the optimal total resource and QoS-fairness-based allocator to allocate resource to tasks guaranteeing the fairness. These components adaptively achieve the optimal resource allocation formulated by a nonlinear optimization problem with the time complexity O(n) for the number of tasks n even if tasks' characteristics cannot be identified precisely. The simulation result shows that the rapidness of the convergence of the resource allocation to the optimal one is suitable for real-time systems with large number of tasks. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietfec/e91-a.11.3245 | IEICE Transactions |
Keywords | Field | DocType |
qos trade-off management,resource allocation,qos level,qos-fairness-based allocator,adaptive power-aware resource allocation,adaptive fair resource allocation,energy consumption,large number,total resource optimizer,proposed resource allocator,optimal total resource,optimal resource allocation,time complexity,quality of service,nonlinear optimization,real time systems | Dynamic voltage scaling,Convergence (routing),Computer science,Quality of service,Trade-off,Resource allocation,Allocator,Time complexity,Energy consumption,Distributed computing | Journal |
Volume | Issue | ISSN |
E91-A | 11 | 0916-8508 |
Citations | PageRank | References |
2 | 0.39 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fumiko Harada | 1 | 30 | 7.03 |
| Toshimitsu Ushio | 2 | 159 | 41.14 |
| Yukikazu Nakamoto | 3 | 79 | 21.50 |