Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 138 for “"Data distribution"”.
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Network Efficiency in Peer-to-peer Data Distribution
<p>Data distribution applications transfer data files on computer networks. On these networks, peer-to-peer applications transfer bulk data quickly to many destinations. But existing applications increase network costs on the Internet and underuse network capacity on the data center …
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Data Distribution Management In Large-scale Distributed Environments
Data Distribution Management (DDM) deals with two basic problems: how to distribute data generated at the application layer among underlying nodes in a distributed system and how to retrieve data back whenever it is necessary. This thesis explores DDM in two different network environments: …
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Private data base access schemes avoiding data distribution
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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Dynamic Grid-Based Data Distribution Management in Large Scale Distributed Simulations
… set of challenging problems to solve, such as Data Distribution Management (DDM). The aim of DDM is to limit and control the volume of the data exchanged during a distributed simulation, and reduce the processing requirements of the simulation hosts by relaying events and state information only …
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Performance comparison of data distribution management strategies in large-scale distributed simulation.
Data distribution management (DDM) is a High Level Architecture/Run-time Infrastructure (HLA/RTI) service that manages the distribution of state updates and interaction information in large-scale distributed simulations. The key to efficient DDM is to limit and control the volume of data exchanged …
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Compiler techniques for optimizing communication and data distribution for distributed-memory multicomputers
… model in which the user must specify how data and computation are to be distributed across processors and determine those sections of data to be communicated to specific processors. To overcome this difficulty, significant research effort has been aimed at source-to-source parallelizing …
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Reducing reworkable discrepancies through standard work for writing inspection instructions and data distribution
… there is lack of access to specifications and data on the floor. To address the issues with late discovery of discrepancies, more specific and guided inspection instructions are needed. Standard work has been developed for writing inspection instructions that are clearer. They include features …
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Beyond music sharing: an evaluation of peer-to-peer data dissemination techniques in large scientific collaborations
The avalanche of data from scientific instruments and the ensuing interest from geographically distributed users to analyze and interpret it accentuates the need for efficient data dissemination. An optimal data distribution scheme will find the delicate balance between conflicting requirements of …
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Programming and Compiling for Distributed Architectures
… The compiler directives to describe the data distribution and communication are being designed. The extended OpenMP provides the hybrid programming model a standard interface to improve the flexibility and portability of the code.
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Implementing a RESTful Software Architecture to Coordinate Heterogeneous Networked Embedded Devices
… can no longer balance the flexibility of modern data distribution with the traditional constraints of embedded systems. To address this problem, the investigation herein presents a domain-specific language, designed around the Representational State Transfer (REST) architecture, most famously …
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New probabilistic approaches for detecting and evaluating concept drift in data streams
… forecasting, and real-time fraud detection, data distributions frequently shift, causing predictive models trained on historical data to underperform. This phenomenon, known as Concept Drift (CD), presents a major challenge in adaptive learning environments, necessitating ongoing monitoring …
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Online clustering with single-pass topology based fuzzy clustering algorithm
… is of significant interest for real-time data analysis. Generic offline clustering methods such as K-Means, C-Means and others are computationally expensive. The computational burden of these methods increases non-linearly with the size of the data set. In addition these methods usually …
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Efficiency in Cluster Database Systems - Dynamic and Workload-Aware Scaling and Allocation
Database systems have been vital in all forms of data processing for a long time. In recent years, the amount of processed data has been growing dramatically, even in small projects. Nevertheless, database management systems tend to be static in terms of size and performance which makes scaling a …
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Fast Fourier Transforms on Distributed Memory Parallel Machines
… on a distributed memory parallel machine is the data distribution. It is possible that users would like to use the subroutine with different data distributions. Thus there is a need to design algorithms on distributed memory parallel machines which can support a variety of data distributions. In …
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Advances in Compression using Probabilistic Models
The increasing demand for data transmission and storage necessitate the use of efficient compression methods. Compression algorithms work by mapping data to a more compact representation from which the original data can be recovered. To operate efficiently, they need to capture the characteristics …
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Response of multiple fastener composite joints: numerical and experimental results
… good, they were within the range of experimental data. Distribution of contact stresses between the pins and the hole edges was also studied. Numerical analysis suggests that the prevalent assumption of radial cosine distribution of contact stress between the pin and hole edge is in substantial …
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A Model for the Design of Distributed Databases (Concurrency Control, Update Synchronization, File Allocation)
… design issues namely Concurrency Control and Data Distribution. The central node locking mechanism is incorporated in developing a non linear integer programming model. Two solution algorithms are proposed, one of which has been implemented in FORTRAN V. The allocation of databases and …
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Nurse Practitioners and Physicians: A comparison of perceived Health Care outcomes and perceived satisfaction with care
… was found according to provider. Exploratory data analysis indicated heavy data distribution in the tails. A Kolmogorov-Smirnov 2-Sample (Asymptotic) nonparamentric test determined that data distribution was the same for both provider groups. Health care outcome and patient satisfaction was …
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Towards Intelligent Federated Learning Systems
With the introduction of data privacy laws such as GDPR, the privacy challenges of traditional machine learning have become more visible. Recent works leverage edge computing to preserve data privacy by keeping the data where it is (not shared during the training process), so-called "Edge …
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Continuum: an architecture for user evolvable collaborative virtual environments
… object state, behavior code, and resource data into this single shared structure. The system frees distributed users from the constraints of monolithic centralized virtual world architectures and instead allows individual users to extend and evolve the virtual world by creating and …
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