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2024:

Journals or Juried Conference Papers:

  • Li, Jie, George Michelogiannakis, Samuel Maloney, Brandon Cook, Estela Suarez, John Shalf, and Yong Chen. "Job scheduling in high performance computing systems with disaggregated memory resources." In 2024 IEEE International Conference on Cluster Computing (CLUSTER), pp. 297-309. IEEE, 2024.
  • Li, Jie, George Michelogiannakis, Brandon Cook, John Shalf, and Yong Chen. "Scheduling and Allocation of Disaggregated Memory Resources in HPC Systems." In 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 1202-1203. IEEE, 2024.
  • Li, Jie, John D. Leidel, Brian Page, and Yong Chen. "Towards Cycle-accurate Simulation of xBGAS." In 2024 International Conference on Computing, Networking and Communications (ICNC), pp. 468-472. IEEE, 2024.
  • G. Ali, M. Side, S. Bhalachandra, T. Dang, A. Sill, Y. Chen. Understanding the Efficacy of Power Profiles: A Case Study ofAMD Instinct MI100 GPU. In Proceedings of the 28th IEEE High Performance Extreme Computing Conference (HPEC'24),2024.
  • M. Beebe, R. Gayatri, K. Gott, A. Lavely, M. Haseeb, B. Cook, and Y. Chen. A Performance Analysis of GPU-Aware MPIImplementations Over the Slingshot-11 Interconnect. In Proceedings of the 28th IEEE High Performance Extreme ComputingConference (HPEC'24), 2024.
  • A. Jordan and Y. Chen. Security Anomaly Detection in Enterprise GitHub. In Proceedings of 2024 ACM PEARC (Practice &Experience in Advanced Research Computing), Pages: 1-5, 2024.

Technologies or Techniques


2023:

Journals or Juried Conference Papers:

  • Zhou, Jiang and Chen, Yong and Wang, Weiping and Zheng, Mai. Data Distribution for Heterogeneous StorageSystems. IEEE Transactions on Computers. 2023
  • G. Ali, M. Side, S. Bhalachandra, N. J. Wright, and Y. Chen. An Automated and Portable Method for Selecting an OptimalGPU Frequency. Journal of Future Generation Computer Systems (FGCS), Elsevier, Volume 149, Pages 71-88, 2023.
  • Side, Mert and Williams, Brody and Woodruff, Jonathan and Leidel, John and Moore, Simon W. Towards xBGAS onCHERI: Supporting a Secure Global Memory. 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2023
  • J. Li, R. Wang, G. Ali, T. Dang, A. Sill, and Y. Chen. Workload Failure Prediction for Data Centers. In Proceedings of the 16th IEEE International Conference on Cloud Computing (CLOUD’23), 2023.
  • C. E. Caon, J. Li, and Y. Chen. Effective Management of Time Series Data. In Proceedings of the 16thIEEE International Conference on Cloud Computing (CLOUD’23), 2023.
  • J. Li, G. Michelogiannakis, B. Cook, D. Cooray, and Y. Chen. Analyzing Resource Utilization in an HPC System: A Case Studyof NERSC Perlmutter. In Proceedings of The 38th International Supercomputing Conference 2023(ISC’23), 2023.
  • Dang, T., Nguyen, N.V.T., Li, J., Sill, A., Chen, Y. (2023). Spiro: Order-Preserving Visualization in High PerformanceComputing Monitoring. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2023.
  • Tommy Dang, Ngan Nguyen, Jie Li, Alan Sill, Yong Chen. “Spiro: Order-preserving Visualization in High PerformanceComputing Monitoring”. Advances in Visual Computing: 17th International Symposium, ISVC 2023.
  • B. Williams, Y. Chen, W. Poole and S. Poole. Exploring Challenges Associated with Employing SmartNICs as General-Purpose HPC Accelerators. In Proceedings of the 28th IEEE High Performance Extreme ComputingConference (HPEC'23), 2023.
  • G. Ali, M. Side, S. Bhalachandra, N. J. Wright, and Y. Chen, Performance-aware Energy-efficient GPU Frequency Selectionusing DNN-based Models, In Proceedings of the 52nd International Conference on Parallel Processing (ICPP'23),2023.

Technologies or Techniques


2022:

Journals or Juried Conference Papers:

  • Y. Hua, X. Shi, K. He, H. Jin, W. Xie, L. He, and Y. Chen. LoomIO: Object-Level Coordination in Distributed File Systems. IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 33, Issue: 8, Pages: 1799-1810, 2022.
  • G. Ali, L. Wofford, C. Turner, and Y. Chen. Automating CPU Dynamic Thermal Control for High Performance Computing. In Proceedings of The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2022
  • G. Ali, S. Bhalachandra, N. Wright, M. Side, and Y. Chen. Optimal GPU Frequency Selection using Multi-ObjectiveApproaches for HPC Systems. In Proccedings of the 27th IEEE High Performance Extreme Computing Conference(HPEC'22), 2022.
  • Beebe, Michael and Williams, Brody and Devaney, Stephen and Leidel, John and Chen, Yong and Poole,Steve. RaiderSTREAM: Adapting the STREAM Benchmark to Modern HPC Systems. In Proccedings of the 27th IEEEHigh Performance Extreme Computing Conference (HPEC'22), 2022
  • Ghanzanfar Ali, Jon Hass, Alan Sill, Elham Hojati, Tommy Dang and Yong Chen. Redfish-Nagios: A Scalable Out-of-BandData Center Monitoring Framework Based on Redfish Telemetry Model. ACM 5th International Workshop on System andNetwork Telemetry and Analytics (SNTA'22) in conjunction with The 31st International Symposium on High-PerformanceParallel and Distributed Computing (HPDC'22)
  • T. Dang, N. Nguyen, J. Li, J. Hass, A. Sill, and Y. Chen. JobViewer: Graph-based Visualization for Monitoring High-Performance Computing System. In Proceedings of The 9th IEEE/ACM International Conference on BigData Computing, Applications and Technologies (BDCAT'22), 2022.
  • T. Dang and N. Nguyen. MultiProjector: Temporal projection for multivariates time series. International Symposium on VisualComputing ISVC22, 2022.
  • C. Caon. Effective Management of Time Series Data. (2022). Texas Tech University.

Technologies or Techniques


2021:

Journals or Juried Conference Papers:

  • Nguyen, N.V.T., Nguyen, H.N., Hass, J., Dang, T. (2021). JobNet: 2D and 3D Visualization for Temporal and Structural Association in High-Performance Computing System. In: , et al. Advances in Visual Computing. ISVC 2021. Lecture Notes in Computer Science(), vol 13017. Springer, Cham.
  • J. Zhou, Y. Chen, D. Dai, Y. Zhuang, W. Wang. I/O Characteristic Discovery for Storage System Optimizations. In Elsevier Journal of Parallel and Distributed Computing (JPDC), Volume 148, Pages 1-13, 2021.
  • R. Han, O. R. Gatla, M. Zheng, J. Cao, D. Dai, Y. Chen and J. Cook. A Study of Failure Recovery and Logging of High-PerformanceParallel File Systems, ACM Transactions on Storage (TOS), 2021.
  • W. Zhang, S. Byna, H. Sim, S.K. Lee, S. Vazhkudai and Y. Chen. Exploiting User Activeness for Data Retention in HPC Systems. In Proceedings of The 34th International Conference for High Performance Computing, Networking, Storage and Analysis (aka ACM/IEEE Supercomputing Conference) (SC'21), 2021. (acceptance rate: 86/365=23.6%)
  • X. Wang, J. D. Leidel, B. Williams, A. Ehret, M. Mark, M. Kinsy, Y. Chen. xBGAS: A Global Address Space Extension on RISC-V for High Performance Computing. In Proceedings of The 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS'21), Portland, Oregon USA, 2021. (acceptance rate: 105/462=22.7%) Best Paper Award (one out of 105 accepted papers)
  • T. Dang, N. Nguyen and Y. Chen. HiperView: Real-time Monitoring Dynamic Behaviors of High Performance Computing Centers. Journal of Supercomputing (JoS) by Springer, March 2021.
  • Wang, Xi and Tumeo, Antonino and Leidel, John D. and Li, Jie and Chen, Yong. (2021). HAM: Hotspot-Aware Manager forImproving Communications With 3D-Stacked Memory. IEEE Transactions on Computers. 70 (6) 833 to 848.

Other Conference Presentations / Papers:

  • Dang, T., Nguyen, N., Hass, J., Li, J., Chen, Y., & Sill, A. (2021). The Gap between Visualization Research and Visualization Software in High-Performance Computing Center.
  • N. V. T. Nguyen, J. Hass and T. Dang, "TimeRadar: Visualizing the Dynamics of Multivariate Communities via Timeline Views," 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 350-356
  • X. Wang, A. Tumeo, J. D. Leidel, J. Li, Y. Chen. HAM: Hotspot-Aware Manager for Improving Communications With 3D-Stacked Memory. IEEE Transactions on Computers (TC), Volume: 70, Issue: 6, Page(s): 833-848, 2021.
  • Z. Hansen, B. Williams, J. D. Leidel, X. Wang and Y. Chen. DMM-GAPBS: Adapting the GAP Benchmark Suite to a Distributed Memory Model. In Proccedings of the 25th IEEE High Performance Extreme Computing Conference (HPEC'21), 2021.
  • J. Zhou, L. Su, W. Wang and Y. Chen. Hashing Based Data Distribution in Heterogeneous Storage. In Proceedings of The 19th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA'21), 2021.

2020:

Journals or Juried Conference Papers:

  • J. D. Leidel, X. Wang, B. Williams and Y. Chen. Toward a Microarchitecture for Efficient Execution of Irregular Applications. ACM Transactions on Parallel Computing, Volume: 7, Issue: 4, 2020.
  • X. Shi, W. Liu, L. He, H. Jin, M. Li and Y. Chen. Optimizing the SSD Burst Buffer by Traffic Detection. ACM Transactions on Architecture and Code Optimization (TACO), Volume: 17, Issue: 1, 2020.
  • N. Zhao, G. Cao, W. Zhang, E.L. Samson and Y. Chen. Remote Sensing and Social Sensing for Socioeconomic Systems: A Comparison Study between Nighttime Lights and Location-based Social Media at the 500m Spatial Resolution. International Journal of Applied Earth Observation and Geoinformation, Volume: 87, 2020.
  • B. Williams, J. Leidel, X. Wang, D. Donofrio and Y. Chen. CircusTent: A Benchmark Suite for Atomic Memory Operations. In Proceedings of the ACM International Symposium on Memory Systems (MEMSYS'20), 2020.
  • J. Li, G. Ali, N. Nguyen, J. Hass, A. Sill, T. Dang and Y. Chen. MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems, In Proceedings of IEEE International Conference on Cluster Computing (CLUSTER'20), 2020.
  • N. Nguyen, J. Hass, Y. Chen, J. Li, A. Sill and T. Dang. RadarViewer: Visualizing the Dynamics of Multivariate Data. In Proceedings of Practice and Experience in Advanced Research Computing Conference Series (PEARC'20), 2020.

Other Conference Presentations / Papers:

  • J. Sun, G. Sun, S. Zhan, J. Zhang and Y. Chen. Automated Performance Modeling of HPC Applications Using Machine Learning. IEEE Transactions on Computers (TC), Volume: 69, Issue: 5, Pages: 749 - 763, 2020.
  • J. Zhou, Y. Chen, W. Xie, S. He and W. Wang. PRS: A Pattern-Directed Replication Scheme for Heterogeneous Object-Based Storage. IEEE Transactions on Computers (TC), Volume: 69, Issue: 4, Pages: 591 - 605, 2020.
  • S. He, Z. Li, J. Zhou, Y. Yin, X. Xu, Y. Chen and X.-H. Sun. A Holistic Heterogeneity-Aware Data Placement Scheme in Hybrid Parallel I/O Systems. IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 31, Issue: 4, Pages: 830 - 842, 2020.
  • X. Wang, J. D. Leidel, B. Williams and Y. Chen. PAC: Paged Adaptive Coalescer for 3D-Stacked Memory. In Proceedings of The 29th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'20), Pages: 137 - 148, 2020.
  • X. Wang, B. Williams, J. D. Leidel, A. Ehret, M. Kinsy and Y. Chen. Remote Atomic Extension (RAE) for Scalable High Performance Computing. In Proceedings of The 57th Design Automation Conference (DAC'20), Pages: 1 - 6, 2020.
  • S. Liang, Z. Yang, F. Jin and Y. Chen. Data Centers Job Scheduling with Deep Reinforcement Learning. In Proceedings of The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'20), Pages: 906 - 917 2020.
  • E. Hojati, J. Hass, A. Sill and Y. Chen. Redfish Green500 Benchmarker (RGB): Towards Automation of the Green500 Process for Data Centers. In Proceedings of 2020 IEEE Green Technologies Conference, 2020.

2019:

Journals or Juried Conference Papers:

  • B. Williams, X. Wang, J. Leidel and Y. Chen (2019). Collective Communication for the RISC-V xBGAS ISA Extension. In the Proceedings of the 12th International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2), held in conjunction with the 48th International Conference on Parallel Processing (ICPP), 2019.
  • D. Dai, Y. Chen, P. Carns, J. Jenkins, W. Zhang and R. Ross (2019). Managing Rich Metadata in High-Performance Computing Systems Using a Graph Model. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019.
  • W. Liang, Y. Chen, J. Liu and H. An (2019). CARS: A Contention-Aware Scheduler for Efficient Resource Management of HPC Storage Systems. The International Journal of Parallel Computing (ParCo), 2019.
  • X. Wang, A. Tumeo, J. Leidel, J. Li and Y. Chen (2019). MAC: Memory Access Coalescer for 3D-Stacked Memory. Proc. of the 48th International Conference on Parallel Processing (ICPP'19), 2019.

Other Conference Presentations / Papers:

  • Nguyen, Ngan, and Tommy Dang. "Hiperviz: Interactive visualization of cpu temperatures in high performance computing centers." In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), pp. 1-4. 2019
  • Nguyen, Ngan, Tommy Dang, Jon Hass, and Yong Chen. "Hiperjobviz: Visualizing resource allocations in high-performance computing center via multivariate health-status data." In 2019 IEEE/ACM Industry/University Joint International Workshop on Data-center Automation, Analytics, and Control (DAAC), pp. 19-24. IEEE, 2019.
  • Nguyen, Ngan, Lino Virgen, and Tommy Dang. "Hipervr: A virtual reality model for visualizing multidimensional health status of high performance computing systems." In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), pp. 1-4. 2019.
  • V. Pham, N. Nguyen, J. Li, J. Hass, Y. Chen and T. Dang. MTSAD: Multivariate Time Series Abnormality Detection and Visualization. In Proceedings of IEEE International Conference on Big Data (IEEE BigData), Pages: 3267 - 3276, 2019

Technologies or Techniques



Thesis/Dissertations:

  • Abhishek Kumar. Implementing a Swift and Robust Tool for Navigating Redfish Services. (2019). Texas Tech University. Acknowledgement of Federal Support = Yes
  • Felix Perez. Improving Erasure-Coded Distributed Storage System Scalability Using Consistent Hashing. (2019). Texas Tech University. Acknowledgement of Federal Support = No

Websites

The 2nd International Industry/University Workshop on Data-center Automation, Analytics, and Control https://daac-general.nsfcac.org/daac-2018

2018:

Journals or Juried Conference Papers:

  • D. Dai, F.S. Bao, J. Zhou, X. Shi and Y. Chen. (2018). Vectorizing Disk Blocks for Efficient Storage Systems via Deep Learning. The International Journal of Parallel Computing (ParCo), 2018.
  • D. Dai, X. Zhou, D. Kimpe, R. Ross and Y. Chen (2018). Trigger-based Incremental Data Processing with Unified Sync and Async Model. Transactions on Cloud Computing.
  • W. Zhang, Y. Chen and D. Dai (2018). AKIN: A Streaming Graph Partitioning Algorithm for Distributed Graph Storage Systems. Accepted to appear in The Proceedings of The 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2018.

Technologies or Techniques

  • Data Center Simulator. Software release pending under Dell EMC approval.

2017:

Journals or Juried Conference Papers:

  • Alan Sill (2017). Cloud Native Standards and Call for Community Participation. IEEECloud Computing. 4 (5), 56.
  • Alan Sill (2017). Forecasting Cloud Standards Success Patterns. IEEE Cloud Computing. 4 (1), 56.
  • Alan SIll (2017). Standards at the Edge of the Cloud. IEEE Cloud Computing. 4 (2), 63.
  • Ashiq Anjum; Manu Sporny; Alan Sill (2017). Blockchain Standards for Compliance and Trust. IEEE Cloud Computing. 4 (4),84.
  • D. Dai, W. Zhang and Y. Chen (2017). IOGP: An Incremental Online Graph Partitioning Algorithm for Distributed Graph Databases. Proc. of The 26th ACM International Symposium on High Performance Parallel and Distributed Computing (HPDC'17), 2017.
  • D. Dai, Y. Chen, P. Carns, J. Jenkins and R. Ross (2017). Lightweight Provenance Service for High Performance Computing. Proc. of The 26th International Conference on Parallel Architectures and Compilation Techniques (PACT'17), 2017.
  • J. Zhou, W. Xie, D. Dai and Y. Chen (2017). Pattern-Directed Replication Scheme for Heterogeneous Object-based Storage. Proceedings of The 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2017.
  • W. Xie and Y. Chen (2017). Elastic Consistent Hashing for Distributed Storage Systems. Proc. of The 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS'17).
  • W. Xie, Y. Chen and P. C. Roth (2017). ASA-FTL: An Adaptive Separation Aware Flash Translation Layer for Solid State Drives. The International Journal of Parallel Computing (ParCo), 2017.

Other Conference Presentations / Papers:

  • Elham Hojati, Yong Chen, Alan Sill (2017). Benchmarking Automated Hardware Management Technologies for Modern Data Centers and Cloud Environments (Poster Presentation and Paper). IEEE/ACM Utility and Cloud Computing 2017. Austin, Texas.
  • Kevin Gittner, LisaAnn Gittner, Hafiz M. R. Khan, Mario Pitalua, Susan Mengel, Aakriti Pyakurel, Vibhuti Gupta, and Yuan Li, (2017). Contrasting Models of Cardiovascular Disease Prediction: Reevaluating Age Adjusted Variables. American Public Health Association 2017 Annual Meeting & Expo. Atlanta.
  • Alan Sill (2017). Emulation of Automated Control of Large Data Centers At Scale Using Containers. ICCAC 2017: International Conference on Cloud and Autonomic Computing. Tucson, Arizona.
  • Aakriti Pyakurel, Vibhuti Gupta, Yuan Li, Bukunmi Oyedeji, Kevin Gittner, Mario Pitalua, Heather Guthrie, Roshan Ramprasad Shetty, Susan Mengel, Hafiz M. R. Khan, and LisaAnn Gittner (2017). Multidisciplinary Preliminary Approach to Systems Thinking for CVD Risk Prevention. American Public Health Association 2017 Annual Meeting & Expo. Atlanta.
  • Yuan Li, Susan Mengel, LisaAnn Gittner, Mario Pitalua, Vibhuti Gupta, Hafiz M. R. Khan, Kevin Gittner, and Aakriti Pyakurel (2017). Relational Analysis through Graph Data Reduction Technique. American Public Health Association 2017 Annual Meeting & Expo. Atlanta.
  • W. Xie, J. Zhou, M. Reyes, J. Noble, and Y. Chen (2017). Tiered-CRUSH: A Workload-Aware Data Placement for Heterogeneous Storage System. Submitted to the IEEE International Conference on Distributed Computing Systems.
  • Priyanka Kumari, Fatima Saleem, Alan Sill and Yong Chen (2017). Validation of Redfish – The Scalable Platform Management Standard. The 1st International Industry/University Workshop on Data-center Automation, Analytics, and Control. Austin, TX.
  • Mario Pitalua, Susan Mengel, LisaAnn Gittner, Kevin Gittner, Vibhuti Gupta, Aakriti Pyakurel, Yuan Li, Ravi Vadapalli, and Hafiz M. R. Khan (2017). Visualizing Disease Patterns Along I-20 from El Paso to Shrevepor. American Public Health Association 2017 Annual Meeting & Expo. Atlanta.

Other Products


Other Publications:

  • General Chairs: Ashiq Anjum, Alan Sill ; Program Chairs: Geoffrey Fox, Yong Chen (2017). In Proceedings of the 10th International Conference on Utility and Cloud Computing.
  • General Chairs: Ashiq Anjum, Alan Sill; Program Chairs: Xinghui Zhao, Mohsen Farid, Shrideep Palickara, Jiannong Cao (2017). In Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017).

Technologies or Techniques

  • Data Center Simulator. Software release pending under Dell EMC approval.

Thesis/Dissertations:

  • Yuan Cui advised by Yong Chen. A Fast and Evenly Distributed Consistent Hashing-Based Algorithm for Data Replication. (2017). Texas Tech University.
  • Ali Nosrati advised by Yong Chen and Alan Sill. On Simulating Data Centers with Redfish-enabled Equipment. (2017). Texas Tech University.
  • Priyanka Kumari advised by Yong Chen and Alan Sill. Validation of Redfish – The Scalable Platform Management Standard. (2017). Texas Tech University.

Websites

10th IEEE/ACm Conference on Utilit and Cloud Computing (UCC 2017) http://www.depts.ttu.edu/cac/conferences/ucc2017/

UCC is the premier IEEE/ACM conference covering all areas related to utility computing, cloud computing services, and other forms of advanced distributed computing. UCC provided an international forum for leading researchers and practitioners in this important and growing multidisciplinary area. UCC 2017 in Austin reflected the need to bring academics and industrial researchers together to discuss how to improve existing services and how to bring new applications into the cloud. UCC 2017 was co-located with the 4th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017).

2016:

Journals or Juried Conference Papers:

  • Alan Sill (2016). Cloud Standards as Roadmaps for Migration. IEEE Cloud Computing. 3 (2), 64.
  • Alan Sill (2016). Cloud, Data, and Business Process Standards for Manufacturing. IEEE Cloud Computing. 3 (4), 74.
  • Alan Sill (2016). Hardware Analogies to Cloud Software Standards Development. IEEE Cloud Computing. 3 (6), 84.
  • Alan Sill (2016). Standards for Hybrid Clouds. IEEE Cloud Computing. 3 (1), 92.
  • Alan Sill (2016). Standards Underlying Cloud Networking. IEEE Cloud Computing. 3 (3), 76.
  • Alan Sill (2016). The Design and Architecture of Microservices. IEEE Cloud Computing. 3 (5), 76.
  • D. Dai, P. Carns, R. Ross, J. Jenkins, N. Muirhead and Y. Chen (2016). An Asynchronous Traversal Engine for Graph-based Rich Metadata Management. The International Journal of Parallel Computing (ParCo), Vol. 58, Pages 140–156, 2016.. 58 140.
  • D. Dai, Y. Chen, P. Carns, J. Jenkins, W. Zhang and R. Ross (2016). GraphMeta: A Graph-based Engine for Managing Large-Scale HPC Rich Metadata. Proc. of the IEEE International Conference on Cluster Computing (Cluster'16), 2016..
  • J. Zhou, W. Xie, J. Noble, K. Echo and Y. Chen (2016). SUORA: A Scalable and Uniform Data Distribution Algorithm for Heterogeneous Storage Systems. In Proceedings of the 11th IEEE International Conference on Networking, Architecture, and Storage (NAS'16), 2016.
  • J. Zhou, W. Xie, Q. Gu and Y. Chen (2016). Hierarchical Consistent Hashing for Heterogeneous Object-based Storage. Proceedings of 14th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA'16), 2016..
  • J.L. Liu and Y. Chen (2016). Segmented In-Advance Data Analytics for Fast Scientific Discovery.. IEEE Transactions on Cloud Computing.
  • Lisa Gittner, Barbara Kilbourne, Ravi Vadapalli, Hafiz Khan, and Michael Lnagston (2016). A multifactorial obesity model developed from nationwide public health exposome data and modern computational analyses. Obesity Research and Clinical Practice.
  • W. Xie, Y. Chen and P. Roth (2016). Parallel-DFTL: A Flash Translation Layer that Exploits Internal Parallelism in Solid State Drives. In Proceedings of the 11th IEEE International Conference on Networking, Architecture, and Storage (NAS'16), 2016..

Other Conference Presentations / Papers:

  • Soheil Mazaheri, Elham Hojati, Alan Sill, Yong Chen (2016). Cloud Benchmarking in Bare-metal, Virtualized, and Containerized Execution Environments. The 4th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS 2016). Beijing, China.

Other Products


Software or Netware

2015:

Book Chapters:

  • Edmonds, A.; Metsch, T.; Richardson, A.; Harsh, P.; Ziegler, W.; Kershaw, P.; Sill, A.; Carlson, M.; Heneveld, A.; Antonescu, A.-F.; Bohnert, T.M. (2015). Cloud Standards. Encyclopedia of Cloud Computing 2015. Murugesan, S. and Bojanova, I.. Wiley-IEEE. 16.

Journals or Juried Conference Papers:

  • A, Sill (2015). When to Use Standards-Based APIs (Part 1). IEEE Cloud Computing (column). 2 (5), 76.
  • A. Sill (2015). Cloud Standards News and Updates. IEEE Cloud Computing (column). 2 (1), 72.
  • A. Sill (2015). Emerging Standards and Organizational Patterns in Cloud Computing. IEEE Cloud Computing (column). 2 (4), 72.
  • A. Sill (2015). Invention, Innovation, and New APIs. IEEE Cloud Computing (column). 2 (2), 6.
  • A. Sill (2015). Socioeconomics of Cloud Standards. IEEE Cloud Computing (column). 2 (3), 8.
  • A. Sill (2015). When to Use Standards-Based APIs (Part 2). IEEE Cloud Computing (column). 2 (6), 80.
  • J. Zhou, Y. Chen, X. Gu, W. Wang, and D. Meng (2015). A Virtual Shared Metadata Storage for HDFS. Proc. of The 10th IEEE International Conference on Networking, Architecture, and Storage (NAS'15).
  • Lisa Gittner, Barbara Kilbourne, Ravi Vadapalli, Hafiz Khan, and Michael Lnagston (2016). A multifactorial obesity model developed from nationwide public health exposome data and modern computational analyses. Obesity Research and Clinical Practice.
  • W. Xie, J. Zhou, M. Reyes, J. Noble, and Y. Chen (2015). Two-Mode Data Distribution Scheme for Heterogeneous Storage in Data Centers. In Proceedings of The 2015 IEEE International Conference on Big Data, (BigData'15).

Other Conference Presentations / Papers:

  • Sarada Vadapalli (2015). Benefits and Challenges of Cloud Computing in Health Care. UT Health Informatics and Health IT Certificate program. Austin.
  • Wei Xie, Omar Rodriguezy, Art Desantiago, and Yong Chen (2015). Exploiting SSD’s Internal Parallelism for Hiding the Translation Overhead for Big Data Applications. IEEE Cluster 2015.
  • Ravi Vadapalli (2015). Healthcare Analytics as a Service. Dallas Big Data Conference. Dallas.
  • Ravi Vadapalli and Annette Sobel (2015). Healthcare Big Data Analytics. TTU-TAMUCC Workshop on Unmanned Arial Systems. Lubbock.
  • Alex Trindade (2015). Local Orthogonal Polynomial Expansion for Density Estimation. European Meeting of Statisticians. the Netherlands.
  • Ravi Vadapalli (2015). NSF Cloud and Autonomic Computing Center”, TTU-TAMUCC Strategic partnerships in UAS systems. Workshop on Strategic Partnerships in UAS Systems.. Corpus Christi.
  • Ravi Vadapalli and Sarang Ardhapurkar (2015). Risk and Financial modeling in Population Health. NSF I/UCRC IAB Meeting. Lubbock.

Other Publications:

  • Ravi Vadapalli, Jennifer Farris, Sarang Ardhapurkar, and Saasn Torabzadehkhorasani (2015). Risk and Financial Models in Population Health. Project update.
  • Soheil Mazaheri, Alan Sill, Yong Chen (2015). Understanding Cloud in Bare-Metal, Virtualized, and Containerized Execution Environments.

Technologies or Techniques

  • Ravi Vadapalli and Sarang Ardhapurkar Dynamic Relational Big Data Technology (2015)
  • Ravi Vadapalli, Sarang Ardhapurkar, and Lisa Gittner, Automatic Dictionary Lookup tool

We designed a new data distribution algorithm called SUORA (Scalable and Uniform storage via Optimally-adaptive and Random number Addressing), to place data on heterogeneous environment. It divides heterogeneous devices into multiple buckets and assigns them to different segments in each bucket. The bucket can reflect the underlying distinct device characteristics and benefit for data movement based on data hotness and bucket threshold. The SUORA algorithm achieves goals in balanced performance, capacity, and cost for data placement by taking advantages of heterogeneous device characteristics.


We designed a data replication scheme, namely pattern-directed replication scheme (PRS), to improve data access performance for object-based storage in heterogeneous environment. The basic idea of PRS is replicating identified object access pattern, grouping objects with temporal-based or hotness-based correlation, and reorganizing objects to reduce replicas.


Thesis/Dissertations:

  • Soheil Mazaheri Advised by Yong Chen and Alan Sill. Cloud Benchmarking in Bare-Metal, Virtualized, and Containerized Execution Environments. (2015). Texas Tech University
  • Soheil Mazaheri. Cloud Benchmarking in Bare-metal, Virtualized, and Containerized Execution Environments. (2015). Texas Tech University.

Websites

  • Cloud Interoperability Plugfest Series - http://cloudplugfest.org

    The mission of each Cloud Plugfest is defined in advance to focus on particular aspects of software, standards or implementations in a collaborative setting, with active developers present or remotely connected to allow real-time testing and interchange regarding the results.

2014:


Journals or Juried Conference Papers:

  • Sill, A. (2014). Cloud Standards and the Spectrum of Development. Cloud Computing, IEEE. 1 (3), 15.
  • Sill, A. (2014). Defining Our Terms. Cloud Computing, IEEE. 1 (1), 86.
  • Sill, A. (2014). Factors in Development and Adoption of New Cloud Software and Standards. Cloud Computing, IEEE.
  • Sill, A. (2014). Setting Cloud Standards in a New World. Cloud Computing, IEEE. 1 (1), 50.
  • Sill, A. (2014). The Role of Communities in Developing Cloud Standards. Cloud Computing, IEEE. 1 (2), 16.

Other Products:

  • Data and Research Materials (e.g. Cell lines, DNA probes, Animal models).
    Healthcare Analytics through Cloud and Autonomic Computing Center: Student Report as a part MS in Information Systems.

Websites:

  • Cloud Interoperability Plugfest Series - http://cloudplugfest.org

    Supports the developer-oriented cloud plugfest activities of several organizations, which are carried out with the assistance and participation of CAC@TTU faculty researcher participants. The CAC@TTU supports planning and organization of these events in cooperation with several partners, and owns and operates the domain name and this web site.

  • Cloud and Autonomic Computing Center at Texas Tech University - http://cac.ttu.edu

    Describes the scope, mission, goals, objectives, and methods of the CAC@TTU I/UCRC, as well as the people involved, company and government agency memnbers, and how and why to join.