Name
Abstract | ||
|---|---|---|
Researchers are currently investigating applying benefit, or utility functions for allocating resources in limited, soft real time systems (1,2,3). While the future of real-time computing research and practice will likely exploit the utility of benefit- based models, this will not occur until a suitable system level benefit framework has been defined. This paper provides an overview of ongoing work to develop such an initial framework that can formalize the use of benefit functio ns in complex real time systems. It is easily shown that this framework can support traditional hard/firm/soft real -time paradigms as well as support newer proposed models for future real time operation (5,6). We also show that our proposed framework unifies composition of benefit values derived from heterogeneous perspectives, including those derived from the application perspective. |
Year | Venue | Keywords |
|---|---|---|
2002 | Scalable Computing: Practice and Experience | benefit function,proposed framework unifies composition,benefit functions,real-time computing research,complex real time systems,suitable system level benefit,complex real time system,newer proposed model,future real time operation,soft real time system,soft real-time paradigm,initial framework,real time computing,system performance,distributed processing,resource management,bandwidth,computer science,real time systems,lifting equipment |
DocType | Volume | Issue |
Journal | 5 | 1 |
ISBN | Citations | PageRank |
0-7695-1573-8 | 3 | 0.39 |
References | Authors | |
16 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David L. Andrews | 1 | 265 | 29.63 |
| Lonnie R. Welch | 2 | 314 | 45.64 |
| David M. Chelberg | 3 | 76 | 18.52 |
| Scott A. Brandt | 4 | 1663 | 94.81 |