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WSU CORE at OhioLINK Digital Resource Commons (6,890 recursos)
CORE is Wright State's institutional repository. It is a web-based system that captures, preserves, organizes, and distributes the scholarly and historical material of Wright State University. CORE is an important tool in advancing scholarly communication, open access, and to preserve the historical legacy of Wright State University

Computer Science and Computer Engineering Papers and Presentations

Mostrando recursos 1 - 7 de 7

1. Towards Cloud Mobile Hybrid Application Generation using Semantically Enriched Domain Specific Languages - Manjunatha, Ashwin

The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. Taking advantage of this computing landscape, however, has been hampered by the many heterogeneities that exist in the mobile space as well as the Cloud space.This research attempts to introduce a disciplined methodology to develop Cloud-mobile hybrid applications by using a Domain Specific Language(DSL) centric approach to generate applications. A Cloud-mobile hybrid is an application that is split between a Cloud based back-end and a mobile...

2. Semantically Annotated RESTful Services for Large-scale Metabolomics Data Analysis - Manjunatha, Ashwin

The term metabolomics is defined as a comprehensive analysis in which metabolites of a biological system are identified and quantified. Any technique that can quantify metabolites can be used for metabolomics, but there are two primary techniques seen in the literature: nuclear magnetic resonance (NMR) and mass spectrometry with a prior on-line separation step such as high performance liquid chromatography (HPLC) or gas chromatography (GC). While neither technique is strictly superior, each technique has its own advantages and disadvantages. Existing applications include the identification of biomarkers associated with responses to toxin and pathophysiologic changes, sample classification based on the type...

3. MobiCloud Making Clouds Reachable: A Toolkit for Easy and Efficient Development of Customized Cloud Mobile Hybrid Applications - Manjunatha, Ashwin

The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices, as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. However, taking full advantage ofthis mobile and cloud computing landscape, especially for the data intensive domains, has been hampered by the many heterogeneities that exist in the mobile space, as well as the Cloud space.

Our research attempts to exploit the capabilities of the mobile and cloud landscape by introducing MobiCloud, an online toolkit to efficiently develop Cloud-mobile hybrid (CMH) applications. We define a CMH application as...

4. Getting Code Near the Data: A Study of Generating Customized Data Intensive Scientific Workflows with Domain Specific Language - Manjunatha, Ashwin

The amount of data produced in modern biological experiments such as Nuclear Magnetic Resonance (NMR) analysis far exceeds the processing capability of a single machine. The present state-of-the-art is taking the "data to code", the philosophy followed by many ofthe current service oriented workflow systems. However this is not feasible in some cases such as NMR data analysis, primarily due to the large scale ofdata.

The objective ofthis research is to bring "code to data", preferred in the cases when the data is extremely large. We present a DSL based approach to develop customized data intensive scientific workjlows capable of running...

5. Cloud Based Scientific Workflow for NMR Data Analysis - Manjunatha, Ashwin

This work presents a service oriented scientific workflow approach to NMR-based metabolomics data analysis. We demonstrate the effectiveness of this approach by implementing several common spectral processing techniques in the cloud using a parallel map-reduce framework, Hadoop.

This conference poster was presented at the 18th Annual International Conference on Intelligent Systems for Molecular Biology, Boston MA, July 11-13, 2010.



6. Identifying and Implementing the Underlying Operators for Nuclear Magnetic Resonance based Metabolomics Data Analysis - Manjunatha, Ashwin

The science of metabolomics is a relatively young field that requires intensive signal processing and multivariate data analysis for interpretation of experimental results. The lack of integration and standardization for metabolomics compounded by the complexity of the experimental data has lead to a fragmented research community. While efforts have been undertaken to approach these problems, the efforts to develop a set of standards for reporting processing and analysis procedures has stalled.

In this paper, we propose a set of fundamental operators for nuclear magnetic resonance(NMR) based metabolomics. These operators are implementation independent, and can be used to easily and precisely describe...

7. A Domain Specific Language Based Approach for Developing Complex Cloud Computing Applications - Manjunatha, Ashwin

Computing has changed. Lately, a slew of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources has become available at the disposal of the common man. The latter commonly called Cloud Computing (or just Cloud) is democratizing computing by making large computing power accessible to people and corporations around the world easily and economically.

However, taking full advantage of this computing landscape, especially for the data intensive domains, has been hampered by many factors, the primary one being the complexity in developing applications for the variety of available platforms.

This thesis attempts to...

 

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