Stack-based scheduling for realtime processes
Real-Time Systems
Priority Inheritance Protocols: An Approach to Real-Time Synchronization
IEEE Transactions on Computers
Efficient Scheduling of Real-Time Multi-Task Applications in Dynamic Systems
RTAS '00 Proceedings of the Sixth IEEE Real Time Technology and Applications Symposium (RTAS 2000)
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
The Space of Rate Monotonic Schedulability
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
A Model of Hierarchical Real-Time Virtual Resources
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
Periodic Resource Model for Compositional Real-Time Guarantees
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
An EDF-based Scheduling Algorithm for Multiprocessor Soft Real-Time Systems
ECRTS '05 Proceedings of the 17th Euromicro Conference on Real-Time Systems
A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms
ECRTS '07 Proceedings of the 19th Euromicro Conference on Real-Time Systems
SIRAP: a synchronization protocol for hierarchical resource sharingin real-time open systems
EMSOFT '07 Proceedings of the 7th ACM & IEEE international conference on Embedded software
A Flexible Real-Time Locking Protocol for Multiprocessors
RTCSA '07 Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Compositional Analysis Framework Using EDP Resource Models
RTSS '07 Proceedings of the 28th IEEE International Real-Time Systems Symposium
RTCSA '08 Proceedings of the 2008 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Hierarchical Scheduling Framework for Virtual Clustering of Multiprocessors
ECRTS '08 Proceedings of the 2008 Euromicro Conference on Real-Time Systems
Semi-partitioned Fixed-Priority Scheduling on Multiprocessors
RTAS '09 Proceedings of the 2009 15th IEEE Symposium on Real-Time and Embedded Technology and Applications
Partitioned Fixed-Priority Preemptive Scheduling for Multi-core Processors
ECRTS '09 Proceedings of the 2009 21st Euromicro Conference on Real-Time Systems
Coordinated Task Scheduling, Allocation and Synchronization on Multiprocessors
RTSS '09 Proceedings of the 2009 30th IEEE Real-Time Systems Symposium
Fixed-Priority Multiprocessor Scheduling with Liu and Layland's Utilization Bound
RTAS '10 Proceedings of the 2010 16th IEEE Real-Time and Embedded Technology and Applications Symposium
Optimality Results for Multiprocessor Real-Time Locking
RTSS '10 Proceedings of the 2010 31st IEEE Real-Time Systems Symposium
Independently-Developed Real-Time Systems on Multi-cores with Shared Resources
ECRTS '11 Proceedings of the 2011 23rd Euromicro Conference on Real-Time Systems
Resource Sharing under Multiprocessor Semi-partitioned Scheduling
RTCSA '12 Proceedings of the 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
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The shift towards multi-core platforms has become inevitable from an industry perspective, therefore proper techniques are needed to deal with challenges related to this migration from single core architectures to a multi-core architecture. One of the main concerns for system developers in this context is the migration of legacy real-time systems to multi-core architectures. To address this concern and to simplify the migration, independently-developed subsystems are abstracted with an interface, such that when working with multiple independently-developed subsystems to be integrated on a shared platform, one does not need to be aware of information or policies used in other subsystems in order to determine subsystem-level schedulability. Instead schedulability can be checked through their interfaces at the time of integration on a shared multi-core architecture. In this paper we propose a solution for investigating the system schedulability via providing interfaces for independently-developed subsystems where some of them are distributed over more than one processor and may share resources.