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Full-Text Articles in Physical Sciences and Mathematics
Atomic Broadcast In Heterogeneous Distributed Systems, Osman Zeineldine
Atomic Broadcast In Heterogeneous Distributed Systems, Osman Zeineldine
Computer Science Theses & Dissertations
Communication services have long been recognized as possessing a dominant effect on both performance and robustness of distributed systems. Distributed applications rely on a multitude of protocols for the support of these services. Of crucial importance are multicast protocols. Reliable multicast protocols enhance the efficiency and robustness of distributed systems. Numerous reliable multicast protocols have been proposed, each differing in the set of assumptions adopted, especially for the communication network. These assumptions make each protocol suitable for a specific environment. The presence of different distributed applications that run on different LANs and single distributed applications that span different LANs mandate …
Fault Tolerance In Critical Real-Time Systems, Balaji Tirukarneswaran
Fault Tolerance In Critical Real-Time Systems, Balaji Tirukarneswaran
Electrical & Computer Engineering Theses & Dissertations
Critical real-time applications require work to be completed before a predefined deadline, else the consequences may be catastrophic. The anticipation of faults in such systems necessitates the need for fault tolerance. Fault tolerance can be achieved in many different ways. A real-time system designer may impose restrictions on any of the system performance measures such as the latency, throughput and number of processors, depending on the type of application. In this work, several different fault tolerant strategies for any given DFG (Data Flow Graph) are discussed. DFG models are developed using the strategies and the resulting worst case performances a.re …
Real-Time Communication In The Algorithm To Architecture Mapping Model, Somesh M. Varma
Real-Time Communication In The Algorithm To Architecture Mapping Model, Somesh M. Varma
Electrical & Computer Engineering Theses & Dissertations
The objective of this thesis is to analyze schedules of communication resources to obtain deterministic and contention-free communication in the Algorithm To Architecture Mapping Model (ATAMM). In ATAMM, performance must be deterministic to guarantee meeting deadlines. It is difficult to achieve deterministic performance in the presence of contention during communication. This thesis develops new data-flow models to study and analyze different schedules of communication resources to achieve deterministic and contention-free communication. These models are the Synchronous Communication Marked Graph (SCMG) and the Asynchronous Communication Marked Graph (ACMG). The SCMG is based on message passing synchronous communication. It defines schedules for …
Thermal Effects On Y2O3:Eu3+ For Fiber Optic Temperature Sensing, Arnel C. Lavarias
Thermal Effects On Y2O3:Eu3+ For Fiber Optic Temperature Sensing, Arnel C. Lavarias
Electrical & Computer Engineering Theses & Dissertations
Fiber optic methods have gained acceptance in the past several years as non intrusive optical techniques of measuring environmental variables, particularly under hostile conditions. Fiber optic temperature sensors are required for many applications which have a large operating range. One way to implement this sensor is to introduce rare earth-doped materials into a fiber showing temperature-dependent optical emission characteristics. The thermal effects on optical emission characteristics of Y2O3:Eu3+ were studied. The thermal broadening and temperature dependence of the lifetime (τ) of the 611.4 nm emission due to the 5D0 ➔ 7F …
Generalization Metrics For Neural Modeling Applications In System Identification, Denise M. Reeves
Generalization Metrics For Neural Modeling Applications In System Identification, Denise M. Reeves
Electrical & Computer Engineering Theses & Dissertations
In this thesis a procedure to design multilayer feedforward networks for system identification with good prediction properties is presented. Central to the design procedure is a means to characterize the prediction capabilities of various trained neural networks. Such knowledge will allow for the identification of the best network design. For system identification purposes, a "good" model is one that is good at predicting, In particular, a good model is one that produces small prediction errors when applied to a set of cross-validation data. We formulate and implement a criterion function designed to measure the size of a trained neural network's …