Optimum allocation of distributed service workflows with probabilistic real-time guarantees
Service Oriented Computing and Applications
Modular software architecture for flexible reservation mechanisms on heterogeneous resources
Journal of Systems Architecture: the EUROMICRO Journal
A component model for hard real-time systems: CCM with ARINC-653
Software—Practice & Experience
Non-functional information transmission patterns for distributed real-time Java
Software—Practice & Experience
Decoupled inter- and intra-application scheduling for composable and robust embedded MPSoC platforms
Proceedings of the 15th International Workshop on Software and Compilers for Embedded Systems
A VM-aware fairness scheduler on heterogenous multi-core platforms
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Fairness scheduler for virtual machines on heterogonous multi-core platforms
ACM SIGAPP Applied Computing Review
Resource management for multimedia applications, distributed in open and heterogeneous home networks
Journal of Systems Architecture: the EUROMICRO Journal
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The notion of resource reservation for obtaining real-time scheduling guarantees and enforcement of resource usage has gained strong support in recent years. However, much work on resource reservation has primarily focused on single-processor systems. In this paper, we propose the distributed resource kernel framework to deploy distributed real-time applications with end-to-end timing constraints, and to efficiently enforce and monitor their usage. Modern distributed real-time systems host multiple applications, where each application can span two or more processors. Timing bugs in one distributed application can affect the timing properties of other applications in the system. Our framework introduces the abstraction of a distributed resource container as an isolated virtual operating environment for a distributed real-time application. We have implemented this framework by extending our open-source single node Linux/RK platform. A deployment and monitoring tool called dMon is also provided. We evaluate the framework’s ability to provide timing guarantees by stress-testing the system using the Distributed Hartstone benchmarks. An audio processing pipeline is then used to illustrate the temporal isolation support provided by the Distributed RK framework. The distributed container abstraction can also be extended in the future to support security and fault-tolerance attributes.