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Published Articles >> Table of Contents >> Abstract
10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'07)
pp. 291-298
Design and Performance Evaluation of Configurable Component Middleware for End-to-End Adaptation of Distributed Real-Time Embedded Systems
Nishanth Shankaran, Vanderbilt University, USA
Douglas C. Schmidt, Vanderbilt University, USA
Xenofon D. Koutsoukos, Vanderbilt University, USA
Yingming Chen, Washington University, St. Louis, USA
Chenyang Lu, Washington University, St. Louis, USA
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISORC.2007.27
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| Abstract |
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Standards-based quality of service (QoS)-enabled component
middleware is increasingly being used as a platform
for developing distributed real-time embedded (DRE) systems
that execute in open environments where operational
conditions, input workload, and resource availability cannot
be characterized accurately a priori. Although QoS-enabled
component middleware offers many desirable features,
until recently it lacked the ability to efficiently allocate
resources and configure platform-specific QoS settings
based on utilization of system resources and application
QoS. Moreover, it has also lacked the ability to monitor and
enforce application QoS requirements.
This paper presents two contributions to research on
adaptive resource management for component-based DRE
systems. First, we describe the structure and functionality
of the Resource Allocation and Control Engine (RACE),
which is an open-source adaptive resource management
framework built atop standards-based QoS-enabled component
middleware. Second, we demonstrate the effectiveness
of RACE in the context of a representative DRE system:
NASA’s Magnetospheric Multi-scale Mission system.
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 Additional Information
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Citation:
Nishanth Shankaran, Douglas C. Schmidt, Xenofon D. Koutsoukos, Yingming Chen, Chenyang Lu,
"Design and Performance Evaluation of Configurable Component Middleware for End-to-End Adaptation of Distributed Real-Time Embedded Systems,"
isorc,
pp. 291-298,
10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'07),
2007
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