Efficiently migrating real-time systems to multi-cores

Authors:
Farhang Nemati;Moris Behnam;Thomas Nolte
Affiliations:
Mälardalen Real-Time Research Centre, Mälardalen University, Sweden;Mälardalen Real-Time Research Centre, Mälardalen University, Sweden;Mälardalen Real-Time Research Centre, Mälardalen University, Sweden
Venue:
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Year:
2009

Citing 9
Cited 1

Stack-based scheduling for realtime processes

Real-Time Systems
Priority Inheritance Protocols: An Approach to Real-Time Synchronization

IEEE Transactions on Computers
A comparison of MPCP and MSRP when sharing resources in the Janus multiple-processor on a chip platform

RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
Task Concurrency Management Experiment for Power-Efficient Speed-Up of Embedded MPEG4 IM1 Player

ICPP '00 Proceedings of the 2000 International Workshop on Parallel Processing
Utilization Bounds for EDF Scheduling on Real-Time Multiprocessor Systems

Real-Time Systems
The Partitioned Multiprocessor Scheduling of Sporadic Task Systems

RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Soft real-time scheduling on multiprocessors

Soft real-time scheduling on multiprocessors
Allocating Tasks in Multi-core Processor based Parallel System

NPC '07 Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops
Thread scheduling for multi-core platforms

HOTOS'07 Proceedings of the 11th USENIX workshop on Hot topics in operating systems

Partitioning real-time systems on multiprocessors with shared resources

OPODIS'10 Proceedings of the 14th international conference on Principles of distributed systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Power consumption and thermal problems limit a further increase of speed in single-core processors. Multicore architectures have therefore received significant interest. However, a shift to multi-core processors is a big challenge for developers of embedded real-time systems, especially considering existing "legacy" systems which have been developed with uniprocessor assumptions. These systems have been developed and maintained by many developers over many years, and cannot easily be replaced due to the huge development investments they represent. An important issue while migrating to multicores is how to distribute tasks among cores to increase performance offered by the multi-core platform. In this paper we propose a partitioning algorithm to efficiently distribute legacy system tasks along with newly developed ones onto different cores. The target of the partitioning is increasing system performance while ensuring correctness.