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- Advance reservations (1)
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- Client–server computing (1)
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- End-to-end latency (1)
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- Estimation theory (1)
- Fault tolerance (1)
- Game theory (1)
- H(infinity) filter (1)
- Handoff direction (1)
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- Kalman filtering (1)
- Mathematical statistics (1)
- Minimax filter (1)
- Mobile Internet (1)
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Articles 1 - 4 of 4
Full-Text Articles in Engineering
End-To-End Latency Of A Fault-Tolerant Corba Infrastructure, Wenbing Zhao, Louise E. Moser, P. Michale Melliar-Smith
End-To-End Latency Of A Fault-Tolerant Corba Infrastructure, Wenbing Zhao, Louise E. Moser, P. Michale Melliar-Smith
Electrical and Computer Engineering Faculty Publications
This paper presents an evaluation of the end-to-end latency of a fault-tolerant CORBA infrastructure that we have implemented. The fault-tolerant infrastructure replicates the server applications using active, passive and semi-active replication, and maintains strong replica consistency of the server replicas. By analyses and by measurements of the running fault-tolerant infrastructure, we characterize the end-to-end latency under fault-free conditions. The main determining factor of the run-time performance of the fault-tolerant infrastructure is the Totem group communication protocol, which contributes to the end-to-end latency primarily in …
Kalman Filtering With Inequality Constraints For Turbofan Engine Health Estimation, Daniel J. Simon, Donald L. Simon
Kalman Filtering With Inequality Constraints For Turbofan Engine Health Estimation, Daniel J. Simon, Donald L. Simon
Electrical and Computer Engineering Faculty Publications
Kalman filters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman filters some known signal information is often either ignored or dealt with heuristically. For instance, state-variable constraints (which may be based on physical considerations) are often neglected because they do not fit easily into the structure of the Kalman filter. Thus, two analytical methods to incorporate state-variable inequality constraints into the Kalman filter are now derived. The first method is a general technique that uses hard constraints to enforce inequalities on the state-variable estimates. The resultant filter is a combination …
Selective Advance Reservations Based On Host Movement Detection And Resource-Aware Handoff, Kyounghee Lee, Myungchul Kim, Chansu Yu, Ben Lee, Seungphil Hong
Selective Advance Reservations Based On Host Movement Detection And Resource-Aware Handoff, Kyounghee Lee, Myungchul Kim, Chansu Yu, Ben Lee, Seungphil Hong
Electrical and Computer Engineering Faculty Publications
This paper proposes a new mechanism, which addresses the excessive advance reservation requirements of QoS guarantee methods for mobile Internet. To save resources for excessive advance reservations, the proposed mechanism employs a movement detection scheme for a mobile host (MH) using link-layer functionalities. With the movement detection scheme, advance reservations can be established at only where a MH is likely to visit soon. Another novel feature of our mechanism is resource-aware handoff direction scheme that allows a MH to choose its next BS according to not only the link-layer signal strength, but also the available amount of …
A Game Theory Approach To Constrained Minimax State Estimation, Daniel J. Simon
A Game Theory Approach To Constrained Minimax State Estimation, Daniel J. Simon
Electrical and Computer Engineering Faculty Publications
This paper presents a game theory approach to the constrained state estimation of linear discrete time dynamic systems. In the application of state estimators, there is often known model or signal information that is either ignored or dealt with heuristically. For example, constraints on the state values (which may be based on physical considerations) are often neglected because they do not easily fit into the structure of the state estimator. This paper develops a method for incorporating state equality constraints into a minimax state estimator. The algorithm is demonstrated on a simple vehicle tracking simulation.