Resource kernels: a resource-centric approach to real-time and multimedia systems
By R. Rajkumar, K. Juvva, A. Molano, S. Oikawa. Electronic imaging, 2001
393 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/52f29b0494c14e80d025d5a4cf8c92ed6fb1bf6d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rajkumar Buyya
- Anton Beloglazov
- Kyoung-Dae Kim
- Lui Raymond Sha
- P. Arun Raj Kumar
- Albert Y. Zomaya
- Rodolfo Pellizzoni
- Marco Caccamo
In Hardware and Architecture
- Rajkumar Buyya
- P. Arun Raj Kumar
- Marco Caccamo
- Björn B. Brandenburg
- Young Choon Lee
- Kyoung-Dae Kim
- Anton Beloglazov
- Albert Y. Zomaya
Citations in the corpus
- A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems (2010, methodology): “[42] have proposed several algorithms for application of DVFS in real-time systems and have implemented a prototype as a modified Linux kernel – Linux/Resource Kernel (Linux/RK).”
- Scheduling and locking in multiprocessor real-time operating systems (2011, methodology): “The RT-Mach project incorporated the idea of resource reservations (Mercer and Rajkumar, 1995), which was later developed into the resource kernel design (Rajkumar et al., 1998; Oikawa and Rajkumar, 1999; Rajkumar et al., 2001).”
- MemGuard: Memory bandwidth reservation system for efficient performance isolation in multi-core platforms (2013, background): “Resource reservation and reclaiming techniques [17], [1] have been widely studied by the real-time community to solve the problem of assigning different fractions of a shared resource in a guaranteed manner to contending applications.”
- Cyber–Physical Systems: A Perspective at the Centennial (2012, background): “results can be found in [155], [156] on real-time queueing theory for stochastic analysis of soft real-time systems, in [157], [158] on real-time scheduling analysis in a resource partitioned computing environment, in [159] on resource kernels as an approach for operating system resource management ”