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In this paper we present an implementation and demonstration of the Multi-Resource Server (MRS) which enables predictable execution of real-time applications on multi-core platforms. The MRS provides temporal isolation both between tasks running on the same core, as well as, between tasks running on different cores. The latter could, without MRS, interfere with each other due to contention on a shared...
Fast kernel boot-time is one of the major concerns in industrial embedded systems. Application domains where boot time is relevant include (among others) automation, automotive, avionics etc. Linux is one of the big players among operating system solutions for general embedded systems, hence, a relevant question is how fast Linux can boot on typical hardware platforms (ARM9) used in such industrial...
In this paper we present our ongoing work on implementing the multi-resource server technology in the Linux operating system running on multi-core architectures. The multi-resource server is used to control the access to both CPU and memory bandwidth resources such that the execution of real-time tasks become predictable. We are targeting Legacy applications to be migrated from single to multi-core...
Cluster based multiprocessor scheduling can be seen as a hybrid approach combining benefits of both partitioned and global scheduling. Virtual clustering further enhances it by providing dynamic cluster resource allocation and applying hierarchical scheduling techniques. Over the years, the study of virtual cluster scheduling has been limited to theoretical analysis. In this paper, we present our...
Scheduling theory and algorithms have been well studied in the real-time systems literature. Many useful approaches and solutions have appeared in different problem domains. While their theoretical effectiveness has been extensively discussed, the community is now facing implementation challenges that show the impact of the algorithms in practice. In this paper, we propose a scheduler framework, called...
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