Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Mode Change Protocols for Real-Time Systems: A Survey and a New Proposal
Real-Time Systems
A methodology for designing hierarchical scheduling systems
Journal of Embedded Computing - Real-Time Systems (Euromicro RTS-03)
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Schedulability Criteria and Analysis for Dynamic and Flexible Resource Management
Electronic Notes in Theoretical Computer Science (ENTCS)
The role of virtualization in embedded systems
Proceedings of the 1st workshop on Isolation and integration in embedded systems
Virtualization as an enabler for security in mobile devices
Proceedings of the 1st workshop on Isolation and integration in embedded systems
On the Scheduling of Mixed-Criticality Real-Time Task Sets
RTSS '09 Proceedings of the 2009 30th IEEE Real-Time Systems Symposium
Flexible Resource Management for Self-X Systems: An Evaluation
ISORCW '10 Proceedings of the 2010 13th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops
Towards the Design of Certifiable Mixed-criticality Systems
RTAS '10 Proceedings of the 2010 16th IEEE Real-Time and Embedded Technology and Applications Symposium
A survey of hard real-time scheduling for multiprocessor systems
ACM Computing Surveys (CSUR)
Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications
Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications
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System virtualization is a powerful approach for the creation of integrated systems, which meet the high functionality and reliability requirements of complex embedded applications. It is in particular well-suited for mixed-criticality systems, since the often applied pessimistic manner of critical system engineering leads to heavily under-utilized resources. Existing static resource management approaches for virtualized systems are inappropriate for the dynamically varying resource requirements of upcoming adaptive systems. In this paper, we propose a dynamic resource management protocol for system virtualization that factors criticality levels in and allows the addition of subsystems at runtime. The two-level architecture offers flexibility across virtual machine borders and has the potential to improve the resource utilization. In addition, it provides the capability to adapt at runtime according to defects or changes of the environment.