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10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'07)
Design and Performance Evaluation of Configurable Component Middleware for End-to-End Adaptation of Distributed Real-Time Embedded Systems
Santorini Island, Greece
May 07-May 09
ISBN: 0-7695-2765-5
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
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.

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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