
handle: 11572/65855 , 11572/220853 , 11382/302340
Resource reservations are an effective technique to support hard and soft real-time applications in open systems. However, they generally focus on providing guarantees to real-time applications, without paying too much attention to the performance of non-real-time activities. In this paper, the main limitations encountered when using a conventional reservation-based scheduler for serving non-real-time tasks are described and formally analyzed. Then, a novel algorithm that overcomes these problems (called HGRUB) is proposed, and both theoretical and experimental evidence of its effectiveness is provided.
Integration of real-time and non-real-time applications; Quality of service; Real-time scheduling; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering, Integration of real-time and non-real-time applications; Quality of service; Real-time scheduling;
Integration of real-time and non-real-time applications; Quality of service; Real-time scheduling; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering, Integration of real-time and non-real-time applications; Quality of service; Real-time scheduling;
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
