The Generalized Multiprocessor Periodic Resource Interface Model for Hierarchical Multiprocessor Scheduling
(2012) 20th International Conference on Real-Time and Network Systems p.131-139- Abstract
- Composition is a practice of key importance in software engineering. When real-time applications are composed it is necessary that their timing properties (such as meeting the deadlines) are guaranteed. The composition is performed by establishing an interface between the application and the physical platform. Such an interface does typically contain information about the amount of computing capacity needed by the application. In multiprocessor platforms, the interface should also present information about the degree of parallelism. Recently there have been quite a few interface proposals. However, they are either too complex to be handled or too pessimistic.
In this paper we propose the Generalized Multiprocessor... (More) - Composition is a practice of key importance in software engineering. When real-time applications are composed it is necessary that their timing properties (such as meeting the deadlines) are guaranteed. The composition is performed by establishing an interface between the application and the physical platform. Such an interface does typically contain information about the amount of computing capacity needed by the application. In multiprocessor platforms, the interface should also present information about the degree of parallelism. Recently there have been quite a few interface proposals. However, they are either too complex to be handled or too pessimistic.
In this paper we propose the Generalized Multiprocessor Periodic Resource model (GMPR) that is strictly superior to the MPR model without requiring a too detailed description. We describe a method to generate the interface from the application specification. All these methods have been implemented in Matlab routines that are publicly available. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3054190
- author
- Burmyakov, Artem ; Bini, Enrico LU and Tovar, Eduardo
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- pages
- 131 - 139
- conference name
- 20th International Conference on Real-Time and Network Systems
- conference location
- Pont à Mousson, France
- conference dates
- 2012-11-08
- external identifiers
-
- scopus:84870914479
- ISBN
- 978-1-4503-1409-1
- language
- English
- LU publication?
- yes
- id
- 5fd7d702-dd6f-466d-ab76-644fc28aae28 (old id 3054190)
- date added to LUP
- 2016-04-04 13:31:43
- date last changed
- 2022-05-17 07:22:05
@inproceedings{5fd7d702-dd6f-466d-ab76-644fc28aae28,
abstract = {{Composition is a practice of key importance in software engineering. When real-time applications are composed it is necessary that their timing properties (such as meeting the deadlines) are guaranteed. The composition is performed by establishing an interface between the application and the physical platform. Such an interface does typically contain information about the amount of computing capacity needed by the application. In multiprocessor platforms, the interface should also present information about the degree of parallelism. Recently there have been quite a few interface proposals. However, they are either too complex to be handled or too pessimistic.<br/><br>
<br/><br>
In this paper we propose the Generalized Multiprocessor Periodic Resource model (GMPR) that is strictly superior to the MPR model without requiring a too detailed description. We describe a method to generate the interface from the application specification. All these methods have been implemented in Matlab routines that are publicly available.}},
author = {{Burmyakov, Artem and Bini, Enrico and Tovar, Eduardo}},
booktitle = {{[Host publication title missing]}},
isbn = {{978-1-4503-1409-1}},
language = {{eng}},
pages = {{131--139}},
title = {{The Generalized Multiprocessor Periodic Resource Interface Model for Hierarchical Multiprocessor Scheduling}},
url = {{https://lup.lub.lu.se/search/files/6142143/4222346.pdf}},
year = {{2012}},
}