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Feedback Based Performance Management and Fault Tolerance: With Application to Networked and Embedded Computing Systems - Softcover
Inhaltsangabe
Performance management and fault tolerance are two important issues faced by computing systems research. In this dissertation, we exploit the use of feedback control for performance management and fault tolerance. Specifically, we propose Queueing Model Based Feedback Control scheme to achieve performance regulation. It integrates the ``descriptive'' power of queueing theory and the ``prescriptive'' power of feedback control to control computing system's performance. In the second part of this dissertation, we further exploit the use of feedback control to achieve fault tolerance for real-time embedded control systems. We propose ORTEGA (On-demand Real-TimE GuArd), a new fault tolerance architecture which utilizes feedback control based software execution. It can be deployed in a wide range of real-time embedded applications to provide fault tolerance. We implemented ORTEGA in an inverted pendulum testbed to demonstrate its efficacy and efficiency. Based on the ORTEGA design, we discuss the fault tolerance and scheduling co-design problem and its solutions.
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Reseña del editor
Performance management and fault tolerance are two important issues faced by computing systems research. In this dissertation, we exploit the use of feedback control for performance management and fault tolerance. Specifically, we propose Queueing Model Based Feedback Control scheme to achieve performance regulation. It integrates the ``descriptive'' power of queueing theory and the ``prescriptive'' power of feedback control to control computing system's performance. In the second part of this dissertation, we further exploit the use of feedback control to achieve fault tolerance for real-time embedded control systems. We propose ORTEGA (On-demand Real-TimE GuArd), a new fault tolerance architecture which utilizes feedback control based software execution. It can be deployed in a wide range of real-time embedded applications to provide fault tolerance. We implemented ORTEGA in an inverted pendulum testbed to demonstrate its efficacy and efficiency. Based on the ORTEGA design, we discuss the fault tolerance and scheduling co-design problem and its solutions.
Biografía del autor
Xue Liu is an associate professor in the School of Comptuer Science at McGill University. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. His research interests are in performance modeling and management of computing systems and networking, real-time and embedded systems, and cyber-physical systems.
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Feedback Based Performance Management and Fault Tolerance
Verlag:
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845432780
ISBN 13: 9783845432786
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Taschenbuch. Zustand: Neu. Neuware -Performance management and fault tolerance are two important issues faced by computing systems research. In this dissertation, we exploit the use of feedback control for performance management and fault tolerance. Specifically, we propose Queueing Model Based Feedback Control scheme to achieve performance regulation. It integrates the ``descriptive'' power of queueing theory and the ``prescriptive'' power of feedback control to control computing system's performance. In the second part of this dissertation, we further exploit the use of feedback control to achieve fault tolerance for real-time embedded control systems. We propose ORTEGA (On-demand Real-TimE GuArd), a new fault tolerance architecture which utilizes feedback control based software execution. It can be deployed in a wide range of real-time embedded applications to provide fault tolerance. We implemented ORTEGA in an inverted pendulum testbed to demonstrate its efficacy and efficiency. Based on the ORTEGA design, we discuss the fault tolerance and scheduling co-design problem and its solutions.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Artikel-Nr. 9783845432786
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