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You searched for +publisher:"Colorado State University" +contributor:("Pallickara, Shrideep"). Showing records 1 – 30 of 31 total matches.

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Colorado State University

1. Hewa Raga Munige, Thilina. Real time stream processing for Internet of Things and sensing environments.

Degree: MS(M.S.), Computer Science, 2016, Colorado State University

 Improvements in miniaturization and networking capabilities of sensors have contributed to the proliferation of Internet of Things (IoT) and continuous sensing environments. Data streams generated… (more)

Subjects/Keywords: high performance; Internet of Things; real time processing; stream processing

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APA (6th Edition):

Hewa Raga Munige, T. (2016). Real time stream processing for Internet of Things and sensing environments. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/170303

Chicago Manual of Style (16th Edition):

Hewa Raga Munige, Thilina. “Real time stream processing for Internet of Things and sensing environments.” 2016. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/170303.

MLA Handbook (7th Edition):

Hewa Raga Munige, Thilina. “Real time stream processing for Internet of Things and sensing environments.” 2016. Web. 22 Feb 2020.

Vancouver:

Hewa Raga Munige T. Real time stream processing for Internet of Things and sensing environments. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/170303.

Council of Science Editors:

Hewa Raga Munige T. Real time stream processing for Internet of Things and sensing environments. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/170303


Colorado State University

2. Shah, Harshil. Identification and characterization of super-spreaders from voluminous epidemiology data.

Degree: MS(M.S.), Computer Science, 2017, Colorado State University

 Planning for large-scale epidemiological outbreaks often involves executing compute-intensive disease spread simulations. To capture the probabilities of various outcomes, these simulations are executed several times… (more)

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APA (6th Edition):

Shah, H. (2017). Identification and characterization of super-spreaders from voluminous epidemiology data. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/178870

Chicago Manual of Style (16th Edition):

Shah, Harshil. “Identification and characterization of super-spreaders from voluminous epidemiology data.” 2017. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/178870.

MLA Handbook (7th Edition):

Shah, Harshil. “Identification and characterization of super-spreaders from voluminous epidemiology data.” 2017. Web. 22 Feb 2020.

Vancouver:

Shah H. Identification and characterization of super-spreaders from voluminous epidemiology data. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/178870.

Council of Science Editors:

Shah H. Identification and characterization of super-spreaders from voluminous epidemiology data. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/178870


Colorado State University

3. Koontz, Jared. GeoLens: enabling interactive visual analytics over large-scale, multidimensional geospatial datasets.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 With the rapid increase of scientific data volumes, interactive tools that enable effective visual representation for scientists are needed. This is critical when scientists are… (more)

Subjects/Keywords: distributed hash tables; interactive analysis; brushing and linking; visual analytics; geospatial datasets

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APA (6th Edition):

Koontz, J. (2015). GeoLens: enabling interactive visual analytics over large-scale, multidimensional geospatial datasets. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166984

Chicago Manual of Style (16th Edition):

Koontz, Jared. “GeoLens: enabling interactive visual analytics over large-scale, multidimensional geospatial datasets.” 2015. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/166984.

MLA Handbook (7th Edition):

Koontz, Jared. “GeoLens: enabling interactive visual analytics over large-scale, multidimensional geospatial datasets.” 2015. Web. 22 Feb 2020.

Vancouver:

Koontz J. GeoLens: enabling interactive visual analytics over large-scale, multidimensional geospatial datasets. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/166984.

Council of Science Editors:

Koontz J. GeoLens: enabling interactive visual analytics over large-scale, multidimensional geospatial datasets. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166984


Colorado State University

4. Suriarachchi, Amila. Achieving high-throughput distributed, graph-based multi-stage stream processing.

Degree: MS(M.S.), Computer Science, 2016, Colorado State University

 Processing complex computations on high volume streaming data in real time is a challenge for many organizational data processing systems. Such systems should produce results… (more)

Subjects/Keywords: complex event processing; distributed event stream processing; performance

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APA (6th Edition):

Suriarachchi, A. (2016). Achieving high-throughput distributed, graph-based multi-stage stream processing. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/170271

Chicago Manual of Style (16th Edition):

Suriarachchi, Amila. “Achieving high-throughput distributed, graph-based multi-stage stream processing.” 2016. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/170271.

MLA Handbook (7th Edition):

Suriarachchi, Amila. “Achieving high-throughput distributed, graph-based multi-stage stream processing.” 2016. Web. 22 Feb 2020.

Vancouver:

Suriarachchi A. Achieving high-throughput distributed, graph-based multi-stage stream processing. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/170271.

Council of Science Editors:

Suriarachchi A. Achieving high-throughput distributed, graph-based multi-stage stream processing. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/170271


Colorado State University

5. Sudalaikkan, Leo Vigneshwaran. Preservation of low latency service request processing in dockerized microservice architectures.

Degree: MS(M.S.), Computer Science, 2017, Colorado State University

 Organizations are increasingly transitioning from monolithic architectures to microservices based architectures. Software built as microservices can be broken into multiple components that are easily deployable… (more)

Subjects/Keywords: Kubernetes; scaling out; Dockers; scheduler; scaling in

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APA (6th Edition):

Sudalaikkan, L. V. (2017). Preservation of low latency service request processing in dockerized microservice architectures. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/178889

Chicago Manual of Style (16th Edition):

Sudalaikkan, Leo Vigneshwaran. “Preservation of low latency service request processing in dockerized microservice architectures.” 2017. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/178889.

MLA Handbook (7th Edition):

Sudalaikkan, Leo Vigneshwaran. “Preservation of low latency service request processing in dockerized microservice architectures.” 2017. Web. 22 Feb 2020.

Vancouver:

Sudalaikkan LV. Preservation of low latency service request processing in dockerized microservice architectures. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/178889.

Council of Science Editors:

Sudalaikkan LV. Preservation of low latency service request processing in dockerized microservice architectures. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/178889


Colorado State University

6. Zhang, Han. Detecting advanced botnets in enterprise networks.

Degree: PhD, Computer Science, 2017, Colorado State University

 A botnet is a network composed of compromised computers that are controlled by a botmaster through command and control (C&C) channel. Botnets are more destructive… (more)

Subjects/Keywords: DNS; network security; intrusion detection system; Botnet

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APA (6th Edition):

Zhang, H. (2017). Detecting advanced botnets in enterprise networks. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181362

Chicago Manual of Style (16th Edition):

Zhang, Han. “Detecting advanced botnets in enterprise networks.” 2017. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/181362.

MLA Handbook (7th Edition):

Zhang, Han. “Detecting advanced botnets in enterprise networks.” 2017. Web. 22 Feb 2020.

Vancouver:

Zhang H. Detecting advanced botnets in enterprise networks. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/181362.

Council of Science Editors:

Zhang H. Detecting advanced botnets in enterprise networks. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181362


Colorado State University

7. Mitra, Saptashwa. Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets.

Degree: MS(M.S.), Computer Science, 2018, Colorado State University

 Combining data from disparate sources enhances the opportunity to explore different aspects of the phenomena under consideration. However, there are several challenges in doing so… (more)

Subjects/Keywords: data integration; real time queries; vector data; raster data; data fusion; spatiotemporal

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APA (6th Edition):

Mitra, S. (2018). Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/191379

Chicago Manual of Style (16th Edition):

Mitra, Saptashwa. “Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets.” 2018. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/191379.

MLA Handbook (7th Edition):

Mitra, Saptashwa. “Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets.” 2018. Web. 22 Feb 2020.

Vancouver:

Mitra S. Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets. [Internet] [Masters thesis]. Colorado State University; 2018. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/191379.

Council of Science Editors:

Mitra S. Adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets. [Masters Thesis]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191379


Colorado State University

8. Roselius, Maxwell L. Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Remote sensing of plant traits and their environment facilitates non-invasive, high-throughput monitoring of the plant's physiological characteristics. Effective ingestion of these sensing data into a… (more)

Subjects/Keywords: georeferencing; precision agriculture; high-throughput; distributed systems

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APA (6th Edition):

Roselius, M. L. (2019). Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/193210

Chicago Manual of Style (16th Edition):

Roselius, Maxwell L. “Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture.” 2019. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/193210.

MLA Handbook (7th Edition):

Roselius, Maxwell L. “Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture.” 2019. Web. 22 Feb 2020.

Vancouver:

Roselius ML. Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/193210.

Council of Science Editors:

Roselius ML. Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/193210


Colorado State University

9. Shah, Naman. Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system.

Degree: MS(M.S.), Computer Science, 2017, Colorado State University

 Historically, catastrophe has resulted from large-scale epidemiological outbreaks in livestock populations. Efforts to prepare for these inevitable disasters are critical, and these efforts primarily involve… (more)

Subjects/Keywords: distributed analytics; epidemiological PageRank; NAADSM influential analysis; enhanced distributed graph-parallel system; disease propagation network; extended Apache Spark Graphx

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APA (6th Edition):

Shah, N. (2017). Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/184038

Chicago Manual of Style (16th Edition):

Shah, Naman. “Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system.” 2017. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/184038.

MLA Handbook (7th Edition):

Shah, Naman. “Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system.” 2017. Web. 22 Feb 2020.

Vancouver:

Shah N. Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/184038.

Council of Science Editors:

Shah N. Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/184038


Colorado State University

10. Dozier, André. Towards integrated water resources management through modeling, optimization, and stakeholder engagement with a decision support game.

Degree: PhD, Civil and Environmental Engineering, 2017, Colorado State University

 Integrated water resources management (IWRM) necessitates stakeholder engagement and integrated assessment of physical, ecological, and socioeconomic systems. Water resource literature has reflected a trend toward… (more)

Subjects/Keywords: games with a purpose; model integration; water; hydrology; drought; multiobjective optimization

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APA (6th Edition):

Dozier, A. (2017). Towards integrated water resources management through modeling, optimization, and stakeholder engagement with a decision support game. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/184012

Chicago Manual of Style (16th Edition):

Dozier, André. “Towards integrated water resources management through modeling, optimization, and stakeholder engagement with a decision support game.” 2017. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/184012.

MLA Handbook (7th Edition):

Dozier, André. “Towards integrated water resources management through modeling, optimization, and stakeholder engagement with a decision support game.” 2017. Web. 22 Feb 2020.

Vancouver:

Dozier A. Towards integrated water resources management through modeling, optimization, and stakeholder engagement with a decision support game. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/184012.

Council of Science Editors:

Dozier A. Towards integrated water resources management through modeling, optimization, and stakeholder engagement with a decision support game. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/184012


Colorado State University

11. Shannigrahi, Susmit. Future of networking is the future of Big Data, The.

Degree: PhD, Computer Science, 2019, Colorado State University

 Scientific domains such as Climate Science, High Energy Particle Physics (HEP), Genomics, Biology, and many others are increasingly moving towards data-oriented workflows where each of… (more)

Subjects/Keywords: future internet architecture; large scientific data; networking for big data; information centric networking; big science; named data networking

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APA (6th Edition):

Shannigrahi, S. (2019). Future of networking is the future of Big Data, The. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/197325

Chicago Manual of Style (16th Edition):

Shannigrahi, Susmit. “Future of networking is the future of Big Data, The.” 2019. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/197325.

MLA Handbook (7th Edition):

Shannigrahi, Susmit. “Future of networking is the future of Big Data, The.” 2019. Web. 22 Feb 2020.

Vancouver:

Shannigrahi S. Future of networking is the future of Big Data, The. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/197325.

Council of Science Editors:

Shannigrahi S. Future of networking is the future of Big Data, The. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197325


Colorado State University

12. Stern, Ryan. Scalable visual analytics over voluminous spatiotemporal data.

Degree: PhD, Computer Science, 2019, Colorado State University

 Visualization is a critical part of modern data analytics. This is especially true of interactive and exploratory visual analytics, which encourages speedy discovery of trends,… (more)

Subjects/Keywords: machine learning; spatiotemporal; distributed systems; visual analytics; national-scale

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APA (6th Edition):

Stern, R. (2019). Scalable visual analytics over voluminous spatiotemporal data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193130

Chicago Manual of Style (16th Edition):

Stern, Ryan. “Scalable visual analytics over voluminous spatiotemporal data.” 2019. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/193130.

MLA Handbook (7th Edition):

Stern, Ryan. “Scalable visual analytics over voluminous spatiotemporal data.” 2019. Web. 22 Feb 2020.

Vancouver:

Stern R. Scalable visual analytics over voluminous spatiotemporal data. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/193130.

Council of Science Editors:

Stern R. Scalable visual analytics over voluminous spatiotemporal data. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/193130


Colorado State University

13. Shah, Anant. Systems for characterizing Internet routing.

Degree: PhD, Computer Science, 2018, Colorado State University

 Today the Internet plays a critical role in our lives; we rely on it for communication, business, and more recently, smart home operations. Users expect… (more)

Subjects/Keywords: Border Gateway Protocol; Internet routing; routing anomalies; detours; autonomous systems; outages

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APA (6th Edition):

Shah, A. (2018). Systems for characterizing Internet routing. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/189413

Chicago Manual of Style (16th Edition):

Shah, Anant. “Systems for characterizing Internet routing.” 2018. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/189413.

MLA Handbook (7th Edition):

Shah, Anant. “Systems for characterizing Internet routing.” 2018. Web. 22 Feb 2020.

Vancouver:

Shah A. Systems for characterizing Internet routing. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/189413.

Council of Science Editors:

Shah A. Systems for characterizing Internet routing. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/189413

14. Koneru, Hanisha. Implications of storage subsystem interactions on processing efficiency in data intensive computing.

Degree: MS(M.S.), Computer Science, 2016, Colorado State University

 Processing frameworks such as MapReduce allow development of programs that operate on voluminous on-disk data. These frameworks typically include support for multiple file/storage subsystems. This… (more)

Subjects/Keywords: big data; distributed storage systems; Hadoop MapReduce; HBase; HDFS

…example, for the input sample text ”Colorado State University#” the output from the mapper would… 

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APA (6th Edition):

Koneru, H. (2016). Implications of storage subsystem interactions on processing efficiency in data intensive computing. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/170296

Chicago Manual of Style (16th Edition):

Koneru, Hanisha. “Implications of storage subsystem interactions on processing efficiency in data intensive computing.” 2016. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/170296.

MLA Handbook (7th Edition):

Koneru, Hanisha. “Implications of storage subsystem interactions on processing efficiency in data intensive computing.” 2016. Web. 22 Feb 2020.

Vancouver:

Koneru H. Implications of storage subsystem interactions on processing efficiency in data intensive computing. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/170296.

Council of Science Editors:

Koneru H. Implications of storage subsystem interactions on processing efficiency in data intensive computing. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/170296

15. Luo, Mante. Horizontal scaling of video conferencing applications in virtualized environments.

Degree: MS(M.S.), Computer Science, 2017, Colorado State University

 Video conferencing is one of the most widely used services in the world. However, it usually requires dedicated hardware and expensive licenses. Cloud computing has… (more)

Subjects/Keywords: distributed systems; cloud computing; video-conferencing

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APA (6th Edition):

Luo, M. (2017). Horizontal scaling of video conferencing applications in virtualized environments. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/178879

Chicago Manual of Style (16th Edition):

Luo, Mante. “Horizontal scaling of video conferencing applications in virtualized environments.” 2017. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/178879.

MLA Handbook (7th Edition):

Luo, Mante. “Horizontal scaling of video conferencing applications in virtualized environments.” 2017. Web. 22 Feb 2020.

Vancouver:

Luo M. Horizontal scaling of video conferencing applications in virtualized environments. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/178879.

Council of Science Editors:

Luo M. Horizontal scaling of video conferencing applications in virtualized environments. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/178879

16. Qiu, Yu. Questionnaire integration system based on question classification and short text semantic textual similarity, A.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Semantic integration from heterogeneous sources involves a series of NLP tasks. Existing re- search has focused mainly on measuring two paired sentences. However, to find… (more)

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APA (6th Edition):

Qiu, Y. (2019). Questionnaire integration system based on question classification and short text semantic textual similarity, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/193103

Chicago Manual of Style (16th Edition):

Qiu, Yu. “Questionnaire integration system based on question classification and short text semantic textual similarity, A.” 2019. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/193103.

MLA Handbook (7th Edition):

Qiu, Yu. “Questionnaire integration system based on question classification and short text semantic textual similarity, A.” 2019. Web. 22 Feb 2020.

Vancouver:

Qiu Y. Questionnaire integration system based on question classification and short text semantic textual similarity, A. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/193103.

Council of Science Editors:

Qiu Y. Questionnaire integration system based on question classification and short text semantic textual similarity, A. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/193103

17. Huang, Chuanqi. Leveraging structural-context similarity of Wikipedia links to predict twitter user locations.

Degree: MS(M.S.), Computer Science, 2018, Colorado State University

 Twitter is a widely used social media service. Several efforts have targeted understanding the patterns of information dissemination underlying this social network. A user's location… (more)

Subjects/Keywords: location prediction; social media; Wikpedia; SimRank; Apache Storm; Twitter

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APA (6th Edition):

Huang, C. (2018). Leveraging structural-context similarity of Wikipedia links to predict twitter user locations. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/185763

Chicago Manual of Style (16th Edition):

Huang, Chuanqi. “Leveraging structural-context similarity of Wikipedia links to predict twitter user locations.” 2018. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/185763.

MLA Handbook (7th Edition):

Huang, Chuanqi. “Leveraging structural-context similarity of Wikipedia links to predict twitter user locations.” 2018. Web. 22 Feb 2020.

Vancouver:

Huang C. Leveraging structural-context similarity of Wikipedia links to predict twitter user locations. [Internet] [Masters thesis]. Colorado State University; 2018. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/185763.

Council of Science Editors:

Huang C. Leveraging structural-context similarity of Wikipedia links to predict twitter user locations. [Masters Thesis]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/185763

18. Kachikaran Arulswamy, Johnson Charles. Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A.

Degree: MS(M.S.), Computer Science, 2017, Colorado State University

 Discerning knowledge from voluminous data involves a series of data manipulation steps. Scientists typically compose and execute workflows for these steps using scientific workflow management… (more)

Subjects/Keywords: multidimensional data; spatiotemporal analytics; workflow scheduling; scientific workflow; distributed; storage system

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APA (6th Edition):

Kachikaran Arulswamy, J. C. (2017). Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/181467

Chicago Manual of Style (16th Edition):

Kachikaran Arulswamy, Johnson Charles. “Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A.” 2017. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/181467.

MLA Handbook (7th Edition):

Kachikaran Arulswamy, Johnson Charles. “Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A.” 2017. Web. 22 Feb 2020.

Vancouver:

Kachikaran Arulswamy JC. Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/181467.

Council of Science Editors:

Kachikaran Arulswamy JC. Locality-aware scientific workflow engine for fast-evolving spatiotemporal sensor data, A. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181467

19. Mishra, Sitakanta. Leveraging stream processing engines in support of physiological data processing.

Degree: MS(M.S.), Computer Science, 2018, Colorado State University

 Over the last decade, there has been an exponential growth in unbounded streaming data generated by sensing devices in different settings including the Internet-of-Things. Several… (more)

Subjects/Keywords: predictive analytics; stream processing engines; real time data analysis; Internet of things

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APA (6th Edition):

Mishra, S. (2018). Leveraging stream processing engines in support of physiological data processing. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/191375

Chicago Manual of Style (16th Edition):

Mishra, Sitakanta. “Leveraging stream processing engines in support of physiological data processing.” 2018. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/191375.

MLA Handbook (7th Edition):

Mishra, Sitakanta. “Leveraging stream processing engines in support of physiological data processing.” 2018. Web. 22 Feb 2020.

Vancouver:

Mishra S. Leveraging stream processing engines in support of physiological data processing. [Internet] [Masters thesis]. Colorado State University; 2018. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/191375.

Council of Science Editors:

Mishra S. Leveraging stream processing engines in support of physiological data processing. [Masters Thesis]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191375

20. Shrestha, Bibek Raj. Enabling autoscaling for in-memory storage in cluster computing framework.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 IoT enabled devices and observational instruments continuously generate voluminous data. A large portion of these datasets are delivered with the associated geospatial locations. The increased… (more)

Subjects/Keywords: geospatial analysis; scalable analytics; in-memory cluster computing; dynamic partitioning

…24, Dec 2011. 27 [18] Sangmi Lee Pallickara, Shrideep Pallickara, and Marlon… …Challenges, pages 517–533. Springer US, Boston, MA, 2010. [19] Sangmi Lee Pallickara… …Shrideep Pallickara, and Milija Zupanski. Towards efficient data search and subsetting of large… 

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APA (6th Edition):

Shrestha, B. R. (2019). Enabling autoscaling for in-memory storage in cluster computing framework. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195383

Chicago Manual of Style (16th Edition):

Shrestha, Bibek Raj. “Enabling autoscaling for in-memory storage in cluster computing framework.” 2019. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/195383.

MLA Handbook (7th Edition):

Shrestha, Bibek Raj. “Enabling autoscaling for in-memory storage in cluster computing framework.” 2019. Web. 22 Feb 2020.

Vancouver:

Shrestha BR. Enabling autoscaling for in-memory storage in cluster computing framework. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/195383.

Council of Science Editors:

Shrestha BR. Enabling autoscaling for in-memory storage in cluster computing framework. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195383

21. Malensek, Matthew. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.

Degree: PhD, Computer Science, 2017, Colorado State University

 Ubiquitous data collection from sources such as remote sensing equipment, networked observational devices, location-based services, and sales tracking has led to the accumulation of voluminous… (more)

Subjects/Keywords: big data; analytic queries; distributed systems

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APA (6th Edition):

Malensek, M. (2017). Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183998

Chicago Manual of Style (16th Edition):

Malensek, Matthew. “Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.” 2017. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/183998.

MLA Handbook (7th Edition):

Malensek, Matthew. “Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.” 2017. Web. 22 Feb 2020.

Vancouver:

Malensek M. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/183998.

Council of Science Editors:

Malensek M. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183998


Colorado State University

22. Budgaga, Walid. Framework for real-time, autonomous anomaly detection over voluminous time-series geospatial data streams, A.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 In this research work we present an approach encompassing both algorithm and system design to detect anomalies in data streams. Individual observations within these streams… (more)

Subjects/Keywords: big data; clustering; data streams; distributed system; online anomaly detection; time series analytics

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APA (6th Edition):

Budgaga, W. (2007). Framework for real-time, autonomous anomaly detection over voluminous time-series geospatial data streams, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/83908

Chicago Manual of Style (16th Edition):

Budgaga, Walid. “Framework for real-time, autonomous anomaly detection over voluminous time-series geospatial data streams, A.” 2007. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/83908.

MLA Handbook (7th Edition):

Budgaga, Walid. “Framework for real-time, autonomous anomaly detection over voluminous time-series geospatial data streams, A.” 2007. Web. 22 Feb 2020.

Vancouver:

Budgaga W. Framework for real-time, autonomous anomaly detection over voluminous time-series geospatial data streams, A. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/83908.

Council of Science Editors:

Budgaga W. Framework for real-time, autonomous anomaly detection over voluminous time-series geospatial data streams, A. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/83908


Colorado State University

23. Ericson, Kathleen. Robust health stream processing.

Degree: PhD, Computer Science, 2007, Colorado State University

 As the cost of personal health sensors decrease along with improvements in battery life and connectivity, it becomes more feasible to allow patients to leave… (more)

Subjects/Keywords: interference detection; health stream processing; stream processing; distributed systems; fault-tolerance

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APA (6th Edition):

Ericson, K. (2007). Robust health stream processing. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/88427

Chicago Manual of Style (16th Edition):

Ericson, Kathleen. “Robust health stream processing.” 2007. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/88427.

MLA Handbook (7th Edition):

Ericson, Kathleen. “Robust health stream processing.” 2007. Web. 22 Feb 2020.

Vancouver:

Ericson K. Robust health stream processing. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/88427.

Council of Science Editors:

Ericson K. Robust health stream processing. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/88427


Colorado State University

24. Sui, Zhiquan. Distributed algorithms for the orchestration of stochastic discrete event simulations.

Degree: PhD, Computer Science, 2007, Colorado State University

 Discrete event simulations are widely used in modeling real-world phenomena such as epidemiology, congestion analysis, weather forecasting, economic activity, and chemical reactions. The expressiveness of… (more)

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APA (6th Edition):

Sui, Z. (2007). Distributed algorithms for the orchestration of stochastic discrete event simulations. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/88541

Chicago Manual of Style (16th Edition):

Sui, Zhiquan. “Distributed algorithms for the orchestration of stochastic discrete event simulations.” 2007. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/88541.

MLA Handbook (7th Edition):

Sui, Zhiquan. “Distributed algorithms for the orchestration of stochastic discrete event simulations.” 2007. Web. 22 Feb 2020.

Vancouver:

Sui Z. Distributed algorithms for the orchestration of stochastic discrete event simulations. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/88541.

Council of Science Editors:

Sui Z. Distributed algorithms for the orchestration of stochastic discrete event simulations. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/88541


Colorado State University

25. Stern, Ryan. On the role of topology in autonomously coping with failures in content dissemination systems.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 Content dissemination systems provide a substrate that allows large numbers of entities to communicate with each other. These entities could be processes, sensors, and networked… (more)

Subjects/Keywords: autonomous failure resilience; topologies; small-world systems; power-laws; content dissemination systems

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APA (6th Edition):

Stern, R. (2007). On the role of topology in autonomously coping with failures in content dissemination systems. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/88605

Chicago Manual of Style (16th Edition):

Stern, Ryan. “On the role of topology in autonomously coping with failures in content dissemination systems.” 2007. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/88605.

MLA Handbook (7th Edition):

Stern, Ryan. “On the role of topology in autonomously coping with failures in content dissemination systems.” 2007. Web. 22 Feb 2020.

Vancouver:

Stern R. On the role of topology in autonomously coping with failures in content dissemination systems. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/88605.

Council of Science Editors:

Stern R. On the role of topology in autonomously coping with failures in content dissemination systems. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/88605


Colorado State University

26. Stone, Andrew. Separating implementation concerns in stencil computations for semiregular grids.

Degree: PhD, Computer Science, 2007, Colorado State University

 In atmospheric and ocean simulation programs, stencil computations occur on semiregular grids where subdomains of the grid are regular (i.e. stored in an array), but… (more)

Subjects/Keywords: stencil computations; active libraries; climate simulation; domain-specific languages; earth simulation; semiregular grids

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APA (6th Edition):

Stone, A. (2007). Separating implementation concerns in stencil computations for semiregular grids. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80183

Chicago Manual of Style (16th Edition):

Stone, Andrew. “Separating implementation concerns in stencil computations for semiregular grids.” 2007. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/80183.

MLA Handbook (7th Edition):

Stone, Andrew. “Separating implementation concerns in stencil computations for semiregular grids.” 2007. Web. 22 Feb 2020.

Vancouver:

Stone A. Separating implementation concerns in stencil computations for semiregular grids. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/80183.

Council of Science Editors:

Stone A. Separating implementation concerns in stencil computations for semiregular grids. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/80183


Colorado State University

27. Malensek, Matthew. On the evaluation of exact-match and range queries over multidimensional data in distributed hash tables.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 The quantity and precision of geospatial and time series observational data being collected has increased alongside the steady expansion of processing and storage capabilities in… (more)

Subjects/Keywords: cloud infrastructure; query evaluation; distributed hash tables; distributed file systems; data partitioning

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APA (6th Edition):

Malensek, M. (2007). On the evaluation of exact-match and range queries over multidimensional data in distributed hash tables. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/78748

Chicago Manual of Style (16th Edition):

Malensek, Matthew. “On the evaluation of exact-match and range queries over multidimensional data in distributed hash tables.” 2007. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/78748.

MLA Handbook (7th Edition):

Malensek, Matthew. “On the evaluation of exact-match and range queries over multidimensional data in distributed hash tables.” 2007. Web. 22 Feb 2020.

Vancouver:

Malensek M. On the evaluation of exact-match and range queries over multidimensional data in distributed hash tables. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/78748.

Council of Science Editors:

Malensek M. On the evaluation of exact-match and range queries over multidimensional data in distributed hash tables. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/78748


Colorado State University

28. Lloyd, Wes J. Autonomous management of cost, performance, and resource uncertainty for migration of applications to infrastructure-as-a-service (IaaS) clouds.

Degree: PhD, Computer Science, 2007, Colorado State University

 Infrastructure-as-a-Service (IaaS) clouds abstract physical hardware to provide computing resources on demand as a software service. This abstraction leads to the simplistic view that computing… (more)

Subjects/Keywords: cloud computing; performance modeling; infrastructure-as-a-service clouds

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APA (6th Edition):

Lloyd, W. J. (2007). Autonomous management of cost, performance, and resource uncertainty for migration of applications to infrastructure-as-a-service (IaaS) clouds. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/88449

Chicago Manual of Style (16th Edition):

Lloyd, Wes J. “Autonomous management of cost, performance, and resource uncertainty for migration of applications to infrastructure-as-a-service (IaaS) clouds.” 2007. Doctoral Dissertation, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/88449.

MLA Handbook (7th Edition):

Lloyd, Wes J. “Autonomous management of cost, performance, and resource uncertainty for migration of applications to infrastructure-as-a-service (IaaS) clouds.” 2007. Web. 22 Feb 2020.

Vancouver:

Lloyd WJ. Autonomous management of cost, performance, and resource uncertainty for migration of applications to infrastructure-as-a-service (IaaS) clouds. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/88449.

Council of Science Editors:

Lloyd WJ. Autonomous management of cost, performance, and resource uncertainty for migration of applications to infrastructure-as-a-service (IaaS) clouds. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/88449


Colorado State University

29. Belyaev, Kirill Alexandrovich. Hermes - scalable real-time BGP broker with routing streams integration.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 BGP is the de facto inter-domain routing protocol of Internet and understanding BGP is critically important for current Internet research and operations. Current Internet research… (more)

Subjects/Keywords: BGP routing; XML streaming database platform

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APA (6th Edition):

Belyaev, K. A. (2007). Hermes - scalable real-time BGP broker with routing streams integration. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/70666

Chicago Manual of Style (16th Edition):

Belyaev, Kirill Alexandrovich. “Hermes - scalable real-time BGP broker with routing streams integration.” 2007. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/70666.

MLA Handbook (7th Edition):

Belyaev, Kirill Alexandrovich. “Hermes - scalable real-time BGP broker with routing streams integration.” 2007. Web. 22 Feb 2020.

Vancouver:

Belyaev KA. Hermes - scalable real-time BGP broker with routing streams integration. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/70666.

Council of Science Editors:

Belyaev KA. Hermes - scalable real-time BGP broker with routing streams integration. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/70666


Colorado State University

30. Ericson, Kathleen. On the support for heterogeneous languages in cloud runtimes.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 Cloud runtimes are an effective method of distributing computations, but often have little support for computations written in diverse languages. We have extended the Granules… (more)

Subjects/Keywords: distributed computations; cloud runtimes; Granular computing; Cloud computing; Programming languages (Electronic computers)

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APA (6th Edition):

Ericson, K. (2007). On the support for heterogeneous languages in cloud runtimes. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/44850

Chicago Manual of Style (16th Edition):

Ericson, Kathleen. “On the support for heterogeneous languages in cloud runtimes.” 2007. Masters Thesis, Colorado State University. Accessed February 22, 2020. http://hdl.handle.net/10217/44850.

MLA Handbook (7th Edition):

Ericson, Kathleen. “On the support for heterogeneous languages in cloud runtimes.” 2007. Web. 22 Feb 2020.

Vancouver:

Ericson K. On the support for heterogeneous languages in cloud runtimes. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10217/44850.

Council of Science Editors:

Ericson K. On the support for heterogeneous languages in cloud runtimes. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/44850

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