Dynamic Global Scheduling of Parallel Real-Time Tasks

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Nogueira, L (Author) Other; Fonseca, JC (Author) Other; Maia, C (Author) Other; pinho, lm (Author) Other

Conference proceedings International

Title: 15TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE 2012) / 10TH IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC 2012)

Pages: 500-507

15th IEEE International Conference on Computational Science and Engineering (CSE) / 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC)

Paphos, CYPRUS, DEC 05-07, 2012

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 4 Citations

Other information

Authenticus ID: P-005-446

DOI: 10.1109/iccse.2012.75

Abstract (EN): High-level parallel languages offer a simple way for application programmers to specify parallelism in a form that easily scales with problem size, leaving the scheduling of the tasks onto processors to be performed at runtime. Therefore, if the underlying system cannot efficiently execute those applications on the available cores, the benefits will be lost. In this paper, we consider how to schedule highly heterogenous parallel applications that require real-time performance guarantees on multicore processors. The paper proposes a novel scheduling approach that combines the global Earliest Deadline First (EDF) scheduler with a priority-aware work-stealing load balancing scheme, which enables parallel real-time tasks to be executed on more than one processor at a given time instant. Experimental results demonstrate the better scalability and lower scheduling overhead of the proposed approach comparatively to an existing real-time deadline-oriented scheduling class for the Linux kernel.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8