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Full-Text Articles in Physical Sciences and Mathematics
Managing Product Line Asset Bases, John Hunt
Managing Product Line Asset Bases, John Hunt
All Dissertations
Product lines are predicated on collecting assets common to the desired product portfolio, commonly known as the asset base. For many product lines, the size of asset base has become large enough to create a variety of difficulties. The techniques for managing large product line asset bases are unaddressed in the literature.
This research presents new techniques that take advantage of asset base characteristics, unavailable in more general collections, to both reduce the number of assets and to organize the asset base that go beyond what is possible with other software collections. The result is an asset base that is …
Visualization Of Polymer Processing At The Continuum Level, Jeremy Hicks
Visualization Of Polymer Processing At The Continuum Level, Jeremy Hicks
All Theses
Computer animation, coupled with scientific experimentation and modeling, allows scientists to produce detailed visualizations that potentially enable more comprehensive perception of physical phenomena and ultimately, new discoveries. With the use of Maya, an animation and modeling program that incorporates the natural laws of physics to control the behavior of virtual objects in computer animation, data from the modeling of physical processes such as polymer fibers and films can be explored in the visual realm. Currently, few attempts have been made at the continuum level to represent polymer properties via computer animation using advanced graphics. As a result, scientists may be …
A Case Study On Grid Performance Modeling, Amy Apon, Baochuan Lu, Larry Dowdy, Frank Robinson, Doug Hoffman, Denny Brewer
A Case Study On Grid Performance Modeling, Amy Apon, Baochuan Lu, Larry Dowdy, Frank Robinson, Doug Hoffman, Denny Brewer
Publications
The purpose of this case study is to develop a performance model for an enterprise grid for performance management and capacity planning1. The target environment includes grid applications such as health-care and financial services where the data is located primarily within the resources of a worldwide corporation. The approach is to build a discrete event simulation model for a representative work-flow grid. Five work-flow classes, found using a customized k-means clustering algorithm characterize the workload of the grid. Analyzing the gap between the simulation and measurement data validates the model. The case study demonstrates that the simulation model can be …
The Great Plains Network (Gpn) Middleware Test Bed, Amy Apon, Gregory Monaco, Gordon Springer
The Great Plains Network (Gpn) Middleware Test Bed, Amy Apon, Gregory Monaco, Gordon Springer
Publications
GPN (Great Plains Network) is a consortium of public universities in seven mid-western states. GPN goals include regional strategic planning and the development of a collaboration environment, middleware services and a regional grid for sharing computational, storage and data resources. A major challenge is to arrive at a common authentication and authorization service, based on the set of heterogeneous identity providers at each institution. GPN has built a prototype middleware test bed that includes Shibboleth and other NMI-EDIT middleware components. The test bed includes several prototype end-user applications, and is being used to further our research into fine-grained access control …
Architectural Tradeoffs For Unifying Campus Grid Resources, Amy Apon, Bart Taylor
Architectural Tradeoffs For Unifying Campus Grid Resources, Amy Apon, Bart Taylor
Publications
Most universities have a powerful collection of computing resources on campus for use in areas from high performance computing to general access student labs. However, these resources are rarely used to their full potential. Grid computing offers a way to unify these resources and to better utilize the capability they provide. The complexity of some grid tools makes learning to use them a daunting task for users not familiar with using the command line. Combining these tools together into a single web portal interface provides campus faculty and students with an easy way to access the campus resources. This paper …
Inital Starting Point Analysis For K-Means Clustering: A Case Study, Amy Apon, Frank Robinson, Denny Brewer, Larry Dowdy, Doug Hoffman, Baochuan Lu
Inital Starting Point Analysis For K-Means Clustering: A Case Study, Amy Apon, Frank Robinson, Denny Brewer, Larry Dowdy, Doug Hoffman, Baochuan Lu
Publications
Workload characterization is an important part of systems performance modeling. Clustering is a method used to find classes of jobs within workloads. K-Means is one of the most popular clustering algorithms. Initial starting point values are needed as input parameters when performing k-means clustering. This paper shows that the results of the running the k-means algorithm on the same workload will vary depending on the values chosen as initial starting points. Fourteen methods of composing initial starting point values are compared in a case study. The results indicate that a synthetic method, scrambled midpoints, is an effective starting point method …