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You searched for +publisher:"Virginia Tech" +contributor:("Butt, Ali Raza Ashraf"). Showing records 1 – 29 of 29 total matches.

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1. Pan, Xiaozhong. Rich Cloud-based Web Applications with Cloudbrowser 2.0.

Degree: MS, Computer Science, 2015, Virginia Tech

 When developing web applications using traditional methods, developers need to partition the application logic between client side and server side, then implement these two parts… (more)

Subjects/Keywords: Web Frameworks; Javascript; Node.js; Distributed Systems

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APA (6th Edition):

Pan, X. (2015). Rich Cloud-based Web Applications with Cloudbrowser 2.0. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52988

Chicago Manual of Style (16th Edition):

Pan, Xiaozhong. “Rich Cloud-based Web Applications with Cloudbrowser 2.0.” 2015. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/52988.

MLA Handbook (7th Edition):

Pan, Xiaozhong. “Rich Cloud-based Web Applications with Cloudbrowser 2.0.” 2015. Web. 20 Nov 2019.

Vancouver:

Pan X. Rich Cloud-based Web Applications with Cloudbrowser 2.0. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/52988.

Council of Science Editors:

Pan X. Rich Cloud-based Web Applications with Cloudbrowser 2.0. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52988


Virginia Tech

2. Attari, Sanya. An Investigation of I/O Strategies for MPI Workloads.

Degree: MS, Computer Science, 2010, Virginia Tech

 Different techniques could be used for improving application performance in parallel systems. Studies have been shown that I/O communication delay is the main reason for… (more)

Subjects/Keywords: mpi; performance; I/O

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APA (6th Edition):

Attari, S. (2010). An Investigation of I/O Strategies for MPI Workloads. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36212

Chicago Manual of Style (16th Edition):

Attari, Sanya. “An Investigation of I/O Strategies for MPI Workloads.” 2010. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/36212.

MLA Handbook (7th Edition):

Attari, Sanya. “An Investigation of I/O Strategies for MPI Workloads.” 2010. Web. 20 Nov 2019.

Vancouver:

Attari S. An Investigation of I/O Strategies for MPI Workloads. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/36212.

Council of Science Editors:

Attari S. An Investigation of I/O Strategies for MPI Workloads. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/36212


Virginia Tech

3. Mantri, Sushil Govindnarayan. Efficient In-Depth IO Tracing and its application for optimizing systems.

Degree: MS, Computer Science, 2014, Virginia Tech

 Understanding user and system behavior is most vital for designing efficient systems. Most systems are designed with certain user workload in mind. However, such workloads… (more)

Subjects/Keywords: I/O Tracing; VM placement; File-system tracing

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APA (6th Edition):

Mantri, S. G. (2014). Efficient In-Depth IO Tracing and its application for optimizing systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50145

Chicago Manual of Style (16th Edition):

Mantri, Sushil Govindnarayan. “Efficient In-Depth IO Tracing and its application for optimizing systems.” 2014. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/50145.

MLA Handbook (7th Edition):

Mantri, Sushil Govindnarayan. “Efficient In-Depth IO Tracing and its application for optimizing systems.” 2014. Web. 20 Nov 2019.

Vancouver:

Mantri SG. Efficient In-Depth IO Tracing and its application for optimizing systems. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/50145.

Council of Science Editors:

Mantri SG. Efficient In-Depth IO Tracing and its application for optimizing systems. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50145


Virginia Tech

4. Wen, Yuzhong. Replication of Concurrent Applications in a Shared Memory Multikernel.

Degree: MS, Computer Science, 2016, Virginia Tech

 State Machine Replication (SMR) has become the de-facto methodology of building a replication based fault-tolerance system. Current SMR systems usually have multiple machines involved, each… (more)

Subjects/Keywords: State Machine Replication; Runtime Systems; Deterministic System; System Software

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APA (6th Edition):

Wen, Y. (2016). Replication of Concurrent Applications in a Shared Memory Multikernel. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71813

Chicago Manual of Style (16th Edition):

Wen, Yuzhong. “Replication of Concurrent Applications in a Shared Memory Multikernel.” 2016. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/71813.

MLA Handbook (7th Edition):

Wen, Yuzhong. “Replication of Concurrent Applications in a Shared Memory Multikernel.” 2016. Web. 20 Nov 2019.

Vancouver:

Wen Y. Replication of Concurrent Applications in a Shared Memory Multikernel. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/71813.

Council of Science Editors:

Wen Y. Replication of Concurrent Applications in a Shared Memory Multikernel. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71813


Virginia Tech

5. Sim, Hyogi. AnalyzeThis: An Analysis Workflow-Aware Storage System.

Degree: MS, Computer Science, 2014, Virginia Tech

 Supercomputing application simulations on hundreds of thousands of cores produce vast amounts of data that need to be analyzed on smaller-scale clusters to glean insights.… (more)

Subjects/Keywords: File System; Distributed System

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APA (6th Edition):

Sim, H. (2014). AnalyzeThis: An Analysis Workflow-Aware Storage System. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76927

Chicago Manual of Style (16th Edition):

Sim, Hyogi. “AnalyzeThis: An Analysis Workflow-Aware Storage System.” 2014. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/76927.

MLA Handbook (7th Edition):

Sim, Hyogi. “AnalyzeThis: An Analysis Workflow-Aware Storage System.” 2014. Web. 20 Nov 2019.

Vancouver:

Sim H. AnalyzeThis: An Analysis Workflow-Aware Storage System. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/76927.

Council of Science Editors:

Sim H. AnalyzeThis: An Analysis Workflow-Aware Storage System. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/76927


Virginia Tech

6. Iqbal, Muhammad Safdar. The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems.

Degree: MS, Computer Science, 2017, Virginia Tech

 In the last decade, the landscape of storage hardware and software has changed considerably. Storage hardware has diversified from hard disk drives and solid state… (more)

Subjects/Keywords: multi-tier storage; persistent memory; cloud storage; in-memory cache; multi-level cache; MapReduce; analytics workflows; pricing games; dynamic pricing

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APA (6th Edition):

Iqbal, M. S. (2017). The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79142

Chicago Manual of Style (16th Edition):

Iqbal, Muhammad Safdar. “The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems.” 2017. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/79142.

MLA Handbook (7th Edition):

Iqbal, Muhammad Safdar. “The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems.” 2017. Web. 20 Nov 2019.

Vancouver:

Iqbal MS. The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/79142.

Council of Science Editors:

Iqbal MS. The Multi-tiered Future of Storage: Understanding Cost and Performance Trade-offs in Modern Storage Systems. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79142


Virginia Tech

7. Berkhahn, Jonathan Allen. An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources.

Degree: MS, Computer Science, 2013, Virginia Tech

 Cloud computing setups are a huge investment of resources and personnel to maintain. As the workload on a system is a major contributing factor to… (more)

Subjects/Keywords: Workload synthesis; resource provisioning; heterogenous computing

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APA (6th Edition):

Berkhahn, J. A. (2013). An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23172

Chicago Manual of Style (16th Edition):

Berkhahn, Jonathan Allen. “An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources.” 2013. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/23172.

MLA Handbook (7th Edition):

Berkhahn, Jonathan Allen. “An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources.” 2013. Web. 20 Nov 2019.

Vancouver:

Berkhahn JA. An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/23172.

Council of Science Editors:

Berkhahn JA. An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23172


Virginia Tech

8. Meeramohideen Mohamed, Nabeel. Data-Intensive Biocomputing in the Cloud.

Degree: MS, Computer Science, 2013, Virginia Tech

 Next-generation sequencing (NGS) technologies have made it possible to rapidly sequence the human genome, heralding a new era of health-care innovations based on personalized genetic… (more)

Subjects/Keywords: Cloud Computing; Next Generation Sequencing; MapReduce; GATK; Workflow

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APA (6th Edition):

Meeramohideen Mohamed, N. (2013). Data-Intensive Biocomputing in the Cloud. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23847

Chicago Manual of Style (16th Edition):

Meeramohideen Mohamed, Nabeel. “Data-Intensive Biocomputing in the Cloud.” 2013. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/23847.

MLA Handbook (7th Edition):

Meeramohideen Mohamed, Nabeel. “Data-Intensive Biocomputing in the Cloud.” 2013. Web. 20 Nov 2019.

Vancouver:

Meeramohideen Mohamed N. Data-Intensive Biocomputing in the Cloud. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/23847.

Council of Science Editors:

Meeramohideen Mohamed N. Data-Intensive Biocomputing in the Cloud. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23847


Virginia Tech

9. Littley, Michael Brian. Towards a Scalable Docker Registry.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

 Containers are an alternative to virtual machines rapidly increasing in popularity due to their minimal overhead. To help facilitate their adoption, containers use management systems… (more)

Subjects/Keywords: Docker Registry; Scalability; Failure Recovery; Caching; Virtualization

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APA (6th Edition):

Littley, M. B. (2018). Towards a Scalable Docker Registry. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83814

Chicago Manual of Style (16th Edition):

Littley, Michael Brian. “Towards a Scalable Docker Registry.” 2018. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/83814.

MLA Handbook (7th Edition):

Littley, Michael Brian. “Towards a Scalable Docker Registry.” 2018. Web. 20 Nov 2019.

Vancouver:

Littley MB. Towards a Scalable Docker Registry. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/83814.

Council of Science Editors:

Littley MB. Towards a Scalable Docker Registry. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83814


Virginia Tech

10. Khan, Jamal Ahmad. Improving TCP Data Transportation for Internet of Things.

Degree: MS, Computer Science, 2018, Virginia Tech

 Internet of Things (IoT) is the idea that every device around us is connected and these devices continually collect and communicate data for analysis at… (more)

Subjects/Keywords: Internet of Things; TCP; Routers; Router Buffers; Buffer Sizing; Cloud; Datacenter; Reno; Cubic; Vegas; DCTCP

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APA (6th Edition):

Khan, J. A. (2018). Improving TCP Data Transportation for Internet of Things. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84946

Chicago Manual of Style (16th Edition):

Khan, Jamal Ahmad. “Improving TCP Data Transportation for Internet of Things.” 2018. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/84946.

MLA Handbook (7th Edition):

Khan, Jamal Ahmad. “Improving TCP Data Transportation for Internet of Things.” 2018. Web. 20 Nov 2019.

Vancouver:

Khan JA. Improving TCP Data Transportation for Internet of Things. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/84946.

Council of Science Editors:

Khan JA. Improving TCP Data Transportation for Internet of Things. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84946


Virginia Tech

11. Banavathi Srinivasa, Sangeetha. Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems.

Degree: MS, Computer Science, 2017, Virginia Tech

 Storage systems used for supercomputers and high performance computing (HPC) centers exhibit load imbalance and resource contention. This is mainly due to two factors: the… (more)

Subjects/Keywords: Lustre storage system; Markov chain model; Max-flow algorithm; Publisher-Subscriber; I/O load balance

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APA (6th Edition):

Banavathi Srinivasa, S. (2017). Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86272

Chicago Manual of Style (16th Edition):

Banavathi Srinivasa, Sangeetha. “Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems.” 2017. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/86272.

MLA Handbook (7th Edition):

Banavathi Srinivasa, Sangeetha. “Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems.” 2017. Web. 20 Nov 2019.

Vancouver:

Banavathi Srinivasa S. Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/86272.

Council of Science Editors:

Banavathi Srinivasa S. Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86272


Virginia Tech

12. Salman, Mohammed. Towards Improving Endurance and Performance in Flash Storage Clusters.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 NAND flash-based Solid State Devices (SSDs) provide high performance and energy efficiency and at the same time their capacity continues to grow at an unprecedented… (more)

Subjects/Keywords: Flash Storage; Wear Balancing; Flash Endurance; Write Off-loading

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APA (6th Edition):

Salman, M. (2017). Towards Improving Endurance and Performance in Flash Storage Clusters. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86413

Chicago Manual of Style (16th Edition):

Salman, Mohammed. “Towards Improving Endurance and Performance in Flash Storage Clusters.” 2017. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/86413.

MLA Handbook (7th Edition):

Salman, Mohammed. “Towards Improving Endurance and Performance in Flash Storage Clusters.” 2017. Web. 20 Nov 2019.

Vancouver:

Salman M. Towards Improving Endurance and Performance in Flash Storage Clusters. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/86413.

Council of Science Editors:

Salman M. Towards Improving Endurance and Performance in Flash Storage Clusters. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86413

13. Hafeez, Abdul. A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing.

Degree: PhD, Computer Science, 2014, Virginia Tech

 Detection and identification of important biological targets, such as DNA, proteins, and diseased human cells are crucial for early diagnosis and prognosis. The key to… (more)

Subjects/Keywords: Accelerated Diagnosis; Solid-state micropores; Parallel and Distributed Computing

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APA (6th Edition):

Hafeez, A. (2014). A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50490

Chicago Manual of Style (16th Edition):

Hafeez, Abdul. “A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing.” 2014. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/50490.

MLA Handbook (7th Edition):

Hafeez, Abdul. “A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing.” 2014. Web. 20 Nov 2019.

Vancouver:

Hafeez A. A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/50490.

Council of Science Editors:

Hafeez A. A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50490

14. Kumaraswamy Ravindranathan, Krishnaraj. Exploiting Heterogeneity in Distributed Software Frameworks.

Degree: PhD, Computer Science, 2016, Virginia Tech

 The objective of this thesis is to address the challenges faced in sustaining efficient, high-performance and scalable Distributed Software Frameworks (DSFs), such as MapReduce, Hadoop,… (more)

Subjects/Keywords: Distributed Software Framework; MapReduce; Workflow Manager; Heterogeneous Resource Management; Storage Management.

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APA (6th Edition):

Kumaraswamy Ravindranathan, K. (2016). Exploiting Heterogeneity in Distributed Software Frameworks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64423

Chicago Manual of Style (16th Edition):

Kumaraswamy Ravindranathan, Krishnaraj. “Exploiting Heterogeneity in Distributed Software Frameworks.” 2016. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/64423.

MLA Handbook (7th Edition):

Kumaraswamy Ravindranathan, Krishnaraj. “Exploiting Heterogeneity in Distributed Software Frameworks.” 2016. Web. 20 Nov 2019.

Vancouver:

Kumaraswamy Ravindranathan K. Exploiting Heterogeneity in Distributed Software Frameworks. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/64423.

Council of Science Editors:

Kumaraswamy Ravindranathan K. Exploiting Heterogeneity in Distributed Software Frameworks. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64423


Virginia Tech

15. Anwar, Ali. Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning.

Degree: PhD, Computer Science, 2018, Virginia Tech

 Modern storage systems are designed to manage data without considering the dynamicity of user or resource requirements. This design approach does not consider the complexities… (more)

Subjects/Keywords: Object Stores; Key-Value Stores; Flexibility; Efficiency

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APA (6th Edition):

Anwar, A. (2018). Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83508

Chicago Manual of Style (16th Edition):

Anwar, Ali. “Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning.” 2018. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/83508.

MLA Handbook (7th Edition):

Anwar, Ali. “Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning.” 2018. Web. 20 Nov 2019.

Vancouver:

Anwar A. Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/83508.

Council of Science Editors:

Anwar A. Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83508


Virginia Tech

16. Cheng, Yue. Workload-aware Efficient Storage Systems.

Degree: PhD, Computer Science, 2017, Virginia Tech

 The growing disparity in data storage and retrieval needs of modern applications is driving the proliferation of a wide variety of storage systems (e.g., key-value… (more)

Subjects/Keywords: Storage Systems; Cloud Computing; Data Management; Key-Value Stores; Object Stores; Flash SSDs; Efficiency; Flexibility

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APA (6th Edition):

Cheng, Y. (2017). Workload-aware Efficient Storage Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78677

Chicago Manual of Style (16th Edition):

Cheng, Yue. “Workload-aware Efficient Storage Systems.” 2017. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/78677.

MLA Handbook (7th Edition):

Cheng, Yue. “Workload-aware Efficient Storage Systems.” 2017. Web. 20 Nov 2019.

Vancouver:

Cheng Y. Workload-aware Efficient Storage Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/78677.

Council of Science Editors:

Cheng Y. Workload-aware Efficient Storage Systems. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78677


Virginia Tech

17. Li, Min. A resource management framework for cloud computing.

Degree: PhD, Computer Science, 2014, Virginia Tech

 The cloud computing paradigm is realized through large scale distributed resource management and computation platforms such as MapReduce, Hadoop, Dryad, and Pregel. These platforms enable… (more)

Subjects/Keywords: Cloud Computing; MapReduce; Virtual Desktop Environment; Resource Management; I/O Reduction

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APA (6th Edition):

Li, M. (2014). A resource management framework for cloud computing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/47804

Chicago Manual of Style (16th Edition):

Li, Min. “A resource management framework for cloud computing.” 2014. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/47804.

MLA Handbook (7th Edition):

Li, Min. “A resource management framework for cloud computing.” 2014. Web. 20 Nov 2019.

Vancouver:

Li M. A resource management framework for cloud computing. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/47804.

Council of Science Editors:

Li M. A resource management framework for cloud computing. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/47804


Virginia Tech

18. Nikolaev, Ruslan. Design and Implementation of the VirtuOS Operating System.

Degree: PhD, Computer Science, 2014, Virginia Tech

 Most operating systems provide protection and isolation to user processes, but not to critical system components such as device drivers or other systems code. Consequently,… (more)

Subjects/Keywords: operating systems; hypervisor; microkernel; driver isolation; profilers; perfctr; Xen; virtualization; IOMMU; exceptionless system calls

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APA (6th Edition):

Nikolaev, R. (2014). Design and Implementation of the VirtuOS Operating System. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24964

Chicago Manual of Style (16th Edition):

Nikolaev, Ruslan. “Design and Implementation of the VirtuOS Operating System.” 2014. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/24964.

MLA Handbook (7th Edition):

Nikolaev, Ruslan. “Design and Implementation of the VirtuOS Operating System.” 2014. Web. 20 Nov 2019.

Vancouver:

Nikolaev R. Design and Implementation of the VirtuOS Operating System. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/24964.

Council of Science Editors:

Nikolaev R. Design and Implementation of the VirtuOS Operating System. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/24964


Virginia Tech

19. Kamal, Tariq. Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations.

Degree: PhD, Computer Science, 2016, Virginia Tech

 Agent-based epidemic simulation (ABES) is a powerful and realistic approach for studying the impacts of disease dynamics and complex interventions on the spread of an… (more)

Subjects/Keywords: Cost Analysis and Estimation; Parallel Algorithms; Graph Partitioning; Computational Epidemiology; Disease Dynamics; Statistical Analysis

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APA (6th Edition):

Kamal, T. (2016). Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82507

Chicago Manual of Style (16th Edition):

Kamal, Tariq. “Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations.” 2016. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/82507.

MLA Handbook (7th Edition):

Kamal, Tariq. “Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations.” 2016. Web. 20 Nov 2019.

Vancouver:

Kamal T. Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/82507.

Council of Science Editors:

Kamal T. Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/82507


Virginia Tech

20. Wang, Guanying. Evaluating MapReduce System Performance: A Simulation Approach.

Degree: PhD, Computer Science, 2012, Virginia Tech

 Scale of data generated and processed is exploding in the Big Data era. The MapReduce system popularized by open-source Hadoop is a powerful tool for… (more)

Subjects/Keywords: performance prediction; performance modeling; simulation; MapReduce; Hadoop

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APA (6th Edition):

Wang, G. (2012). Evaluating MapReduce System Performance: A Simulation Approach. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28820

Chicago Manual of Style (16th Edition):

Wang, Guanying. “Evaluating MapReduce System Performance: A Simulation Approach.” 2012. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/28820.

MLA Handbook (7th Edition):

Wang, Guanying. “Evaluating MapReduce System Performance: A Simulation Approach.” 2012. Web. 20 Nov 2019.

Vancouver:

Wang G. Evaluating MapReduce System Performance: A Simulation Approach. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/28820.

Council of Science Editors:

Wang G. Evaluating MapReduce System Performance: A Simulation Approach. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28820


Virginia Tech

21. Rafique, Muhammad Mustafa. An Adaptive Framework for Managing Heterogeneous Many-Core Clusters.

Degree: PhD, Computer Science, 2011, Virginia Tech

 The computing needs and the input and result datasets of modern scientific and enterprise applications are growing exponentially. To support such applications, High-Performance Computing (HPC)… (more)

Subjects/Keywords: Heterogeneous Computing; High-Performance Computing; Resource Sharing; Resource Management and Scheduling; Programming Models

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APA (6th Edition):

Rafique, M. M. (2011). An Adaptive Framework for Managing Heterogeneous Many-Core Clusters. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29119

Chicago Manual of Style (16th Edition):

Rafique, Muhammad Mustafa. “An Adaptive Framework for Managing Heterogeneous Many-Core Clusters.” 2011. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/29119.

MLA Handbook (7th Edition):

Rafique, Muhammad Mustafa. “An Adaptive Framework for Managing Heterogeneous Many-Core Clusters.” 2011. Web. 20 Nov 2019.

Vancouver:

Rafique MM. An Adaptive Framework for Managing Heterogeneous Many-Core Clusters. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/29119.

Council of Science Editors:

Rafique MM. An Adaptive Framework for Managing Heterogeneous Many-Core Clusters. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/29119


Virginia Tech

22. Monti, Henry Matthew. An Integrated End-User Data Service for HPC Centers.

Degree: PhD, Computer Science, 2013, Virginia Tech

 The advent of extreme-scale computing systems, e.g., Petaflop supercomputers, High Performance Computing (HPC) cyber-infrastructure, Enterprise databases, and experimental facilities such as large-scale particle colliders, are… (more)

Subjects/Keywords: End-User Data Services; Scratch as a Cache; Data Offloading; Data Staging

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APA (6th Edition):

Monti, H. M. (2013). An Integrated End-User Data Service for HPC Centers. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19259

Chicago Manual of Style (16th Edition):

Monti, Henry Matthew. “An Integrated End-User Data Service for HPC Centers.” 2013. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/19259.

MLA Handbook (7th Edition):

Monti, Henry Matthew. “An Integrated End-User Data Service for HPC Centers.” 2013. Web. 20 Nov 2019.

Vancouver:

Monti HM. An Integrated End-User Data Service for HPC Centers. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/19259.

Council of Science Editors:

Monti HM. An Integrated End-User Data Service for HPC Centers. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19259


Virginia Tech

23. Scogland, Thomas R. Runtime Adaptation for Autonomic Heterogeneous Computing.

Degree: PhD, Computer Science, 2014, Virginia Tech

 Heterogeneity is increasing across all levels of computing, with the rise of accelerators such as GPUs, FPGAs, and other coprocessors into everything from cell phones… (more)

Subjects/Keywords: Scheduling; Graphics Processing Unit (GPU); OpenMP

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APA (6th Edition):

Scogland, T. R. (2014). Runtime Adaptation for Autonomic Heterogeneous Computing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71315

Chicago Manual of Style (16th Edition):

Scogland, Thomas R. “Runtime Adaptation for Autonomic Heterogeneous Computing.” 2014. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/71315.

MLA Handbook (7th Edition):

Scogland, Thomas R. “Runtime Adaptation for Autonomic Heterogeneous Computing.” 2014. Web. 20 Nov 2019.

Vancouver:

Scogland TR. Runtime Adaptation for Autonomic Heterogeneous Computing. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/71315.

Council of Science Editors:

Scogland TR. Runtime Adaptation for Autonomic Heterogeneous Computing. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/71315


Virginia Tech

24. Srivastav, Meeta S. Variation Aware Energy-Efficient Methodologies for Homogeneous Many-core Designs.

Degree: PhD, Electrical and Computer Engineering, 2015, Virginia Tech

 Earlier designs were driven by the goal of achieving higher performance, but lately, energy efficiency has emerged as an even more important design principle. Strong… (more)

Subjects/Keywords: Low power; Near-threshold; Enery efficient; di/dt; process; variation; PVTA; aging; homogeneous many-core

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APA (6th Edition):

Srivastav, M. S. (2015). Variation Aware Energy-Efficient Methodologies for Homogeneous Many-core Designs. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51237

Chicago Manual of Style (16th Edition):

Srivastav, Meeta S. “Variation Aware Energy-Efficient Methodologies for Homogeneous Many-core Designs.” 2015. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/51237.

MLA Handbook (7th Edition):

Srivastav, Meeta S. “Variation Aware Energy-Efficient Methodologies for Homogeneous Many-core Designs.” 2015. Web. 20 Nov 2019.

Vancouver:

Srivastav MS. Variation Aware Energy-Efficient Methodologies for Homogeneous Many-core Designs. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/51237.

Council of Science Editors:

Srivastav MS. Variation Aware Energy-Efficient Methodologies for Homogeneous Many-core Designs. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51237


Virginia Tech

25. Su, Chun-Yi. Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems.

Degree: PhD, Computer Science, 2015, Virginia Tech

 By 2004, microprocessor design focused on multicore scaling"increasing the number of cores per die in each generation "as the primary strategy for improving performance. These… (more)

Subjects/Keywords: Thread Management; Multi-core Processors; Performance Modeling and Analysis; Power-Aware Computing; Heterogeneous Memory; Data Management

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APA (6th Edition):

Su, C. (2015). Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51255

Chicago Manual of Style (16th Edition):

Su, Chun-Yi. “Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/51255.

MLA Handbook (7th Edition):

Su, Chun-Yi. “Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems.” 2015. Web. 20 Nov 2019.

Vancouver:

Su C. Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/51255.

Council of Science Editors:

Su C. Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51255


Virginia Tech

26. Khasymski, Aleksandr Sergeev. Accelerated Storage Systems.

Degree: PhD, Computer Science, 2015, Virginia Tech

 Today's large-scale, high-performance, data-intensive applications put a tremendous stress on data centers to store, index, and retrieve large amounts of data. Exemplified by technologies such… (more)

Subjects/Keywords: Key-Value Store; Flash; Software RAID; Accelerator-based Computing

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APA (6th Edition):

Khasymski, A. S. (2015). Accelerated Storage Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51612

Chicago Manual of Style (16th Edition):

Khasymski, Aleksandr Sergeev. “Accelerated Storage Systems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/51612.

MLA Handbook (7th Edition):

Khasymski, Aleksandr Sergeev. “Accelerated Storage Systems.” 2015. Web. 20 Nov 2019.

Vancouver:

Khasymski AS. Accelerated Storage Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/51612.

Council of Science Editors:

Khasymski AS. Accelerated Storage Systems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51612


Virginia Tech

27. Chang, Hung-Ching. Measuring, modeling, and optimizing counterintuitive performance phenomena in power-scalable, parallel systems.

Degree: PhD, Computer Science, 2015, Virginia Tech

 The demands of exascale computing systems and applications have pushed for a rapid, continual design paradigm coupled with increasing design complexities from the interaction between… (more)

Subjects/Keywords: parallel and distributed processing; I/O performance; power; runtime systems

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APA (6th Edition):

Chang, H. (2015). Measuring, modeling, and optimizing counterintuitive performance phenomena in power-scalable, parallel systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51682

Chicago Manual of Style (16th Edition):

Chang, Hung-Ching. “Measuring, modeling, and optimizing counterintuitive performance phenomena in power-scalable, parallel systems.” 2015. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/51682.

MLA Handbook (7th Edition):

Chang, Hung-Ching. “Measuring, modeling, and optimizing counterintuitive performance phenomena in power-scalable, parallel systems.” 2015. Web. 20 Nov 2019.

Vancouver:

Chang H. Measuring, modeling, and optimizing counterintuitive performance phenomena in power-scalable, parallel systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/51682.

Council of Science Editors:

Chang H. Measuring, modeling, and optimizing counterintuitive performance phenomena in power-scalable, parallel systems. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51682


Virginia Tech

28. Song, Shuaiwen. Power, Performance and Energy Models and Systems for Emergent Architectures.

Degree: PhD, Computer Science, 2013, Virginia Tech

 Massive parallelism combined with complex memory hierarchies and heterogeneity in high-performance computing (HPC) systems form a barrier to efficient application and architecture design. The performance… (more)

Subjects/Keywords: High performance computing; power-aware computing; performance/energy modeling and optimization; runtime system

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APA (6th Edition):

Song, S. (2013). Power, Performance and Energy Models and Systems for Emergent Architectures. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19316

Chicago Manual of Style (16th Edition):

Song, Shuaiwen. “Power, Performance and Energy Models and Systems for Emergent Architectures.” 2013. Doctoral Dissertation, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/19316.

MLA Handbook (7th Edition):

Song, Shuaiwen. “Power, Performance and Energy Models and Systems for Emergent Architectures.” 2013. Web. 20 Nov 2019.

Vancouver:

Song S. Power, Performance and Energy Models and Systems for Emergent Architectures. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/19316.

Council of Science Editors:

Song S. Power, Performance and Energy Models and Systems for Emergent Architectures. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19316


Virginia Tech

29. Konanki, Pavan. An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator.

Degree: MS, Computer Science, 2008, Virginia Tech

 The growing performance gap between CPUs and sustainable disk I/O is a major hurdle in supporting modern applications. As the CPUs become faster, this gap… (more)

Subjects/Keywords: storage; simulator; hybrid hard disk

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APA (6th Edition):

Konanki, P. (2008). An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36166

Chicago Manual of Style (16th Edition):

Konanki, Pavan. “An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator.” 2008. Masters Thesis, Virginia Tech. Accessed November 20, 2019. http://hdl.handle.net/10919/36166.

MLA Handbook (7th Edition):

Konanki, Pavan. “An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator.” 2008. Web. 20 Nov 2019.

Vancouver:

Konanki P. An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10919/36166.

Council of Science Editors:

Konanki P. An Exploration of Hybrid Hard Disk Designs Using an Extensible Simulator. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/36166

.