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, “Governance Model for Cloud Computing in Building Information Management ”, IEEE Transactions on Service Computing, pp. 314–327, 2014.
10. Governance Model for Cloud Computing in Building Informaiton.pdf (735.55 KB)
10. Governance Model for Cloud Computing in Building Informaiton.pdf (735.55 KB), “Hello ADIOS: The Challenges and Lessons of Developing Leadership Class I/O Frameworks”, Concurrency and Computation: Practice and Experience, vol. 26, pp. 1453–1473, 2014. 9. Hello ADIOS The Challenges and Lessons.pdf (1.53 MB)
9. Hello ADIOS The Challenges and Lessons.pdf (1.53 MB), “In-situ Feature-Based Objects Tracking for Data-Intensive Scientific and Enterprise Analytics Workflows”, Cluster Computing: The Journal of Networks, Software Tools, and Applications, vol. 18, pp. 29–40, 2014. 7. In Situ Feature based Objects.pdf (1.8 MB)
7. In Situ Feature based Objects.pdf (1.8 MB), “In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud”, Proceedings of the International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing (EMSICC'14) & FiCloud 2014, the Second International Conference on Future Internet of Things and Cloud. Barcelona, Spain, 2014. 10. In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud.pdf (337 KB)
10. In-transit Data Analysis and Distribution in a Multi-Cloud Environment using CometCloud.pdf (337 KB), “Laboratory Validation of Inertial Body Sensors to Detect Cigarette Smoking Arm Movements”, Electronics, vol. 3, pp. 87-110, 2014. electronics-03-00087.pdf (1.1 MB)
electronics-03-00087.pdf (1.1 MB), “Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data-Intensive Simulation Workflows”. 2014. 3. POSTER Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data Intensive Simulation Workflows.pdf (174.46 KB)
3. POSTER Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data Intensive Simulation Workflows.pdf (174.46 KB), “Online Failure Prediction for HPC Resources Using Decentralized Clustering”, Proceedings of the 21st Annual IEEE International Conference on High Performance Computing (HiPC 2014). IEEE, Goa, India, 2014.
, “Online Monitoring of HPC resources using decentralize clustering ”. 2014. 4. Online monitoring of HPC resources using decentralized clustering.pdf (46.17 KB)
4. Online monitoring of HPC resources using decentralized clustering.pdf (46.17 KB), “Preliminary Study of Longitudinal EMR data for Diabetes Forecasting”. 2014. 2. A Preliminary Study of Longitudnal EMR data for Diabetes Forecasting.pdf (304.58 KB)
2. A Preliminary Study of Longitudnal EMR data for Diabetes Forecasting.pdf (304.58 KB)“Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium ”, IPDPS 2014. IEEE , 2014.
, “Proceedings of the 7th International Conference on Contemporary Computing ”, IC3 2014. IEEE , 2014.
, “A QoS-aware Underwater Optimization Framework for Inter-vehicle Communication using Acoustic Directional Transducers”, to appear in IEEE Transactions on Wireless Communications, 2014. TW-Jul-13-1203.pdf (1.41 MB)
TW-Jul-13-1203.pdf (1.41 MB), “Region of Feasibility of Interference Alignment in Underwater Sensor Networks”, IEEE Journal of Oceanic Engineering, vol. 39, no. 1, pp. 189 - 202, 2014. IA_IEEEJOE_2014.pdf (2.31 MB)
IA_IEEEJOE_2014.pdf (2.31 MB), “Reliable Geocasting for Random-access Underwater Acoustic Sensor Networks”, Ad Hoc Networks (Elsevier), vol. 21, pp. 134-146, 2014. 1-s2.0-S1570870514001917-main.pdf (1.51 MB)
1-s2.0-S1570870514001917-main.pdf (1.51 MB), “Scalable Run-time Data Indexing and Querying for Scientific Simulations”, Proceedings of the Fifth International Workshop on Big Data Analytics: Challenges, and Opportunities & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. 2014.
, “Separation and Classification of Underwater Acoustic Sources”, Proc. of IEEE Underwater Communications Networks (UComms). IEEE, NATO Centre, Sestri Levante (La Spezia), Italy, 2014. 2014_UComms-Noise.pdf (614.63 KB)
2014_UComms-Noise.pdf (614.63 KB), “Seventh International Conference on Contemporary Computing”, IC3 2014. IEEE , Noida, India, 2014.
, “Statistical Validation of Automatic Methods for Hippocampus Segmentation in MR Images of Epileptic Patients”, Proc. of IEEE International Conference on Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. nihms705928.pdf (229.33 KB)
nihms705928.pdf (229.33 KB), “Working towards Sustainable Scientific Software: Practice and Experiences (WSSSPE)”, Proceedings of the International Symposium on Grids and Clouds (ISGC 2014). Taipei, Taiwan, 2014.
, “Autonomic Computing on Federated Advanced Cyberinfrastructures”. 2013. 8. Autonomic Computing on Federated Advanced Syberinfrastructures.pdf (283.83 KB)
8. Autonomic Computing on Federated Advanced Syberinfrastructures.pdf (283.83 KB), “A Case for MapReduce over the Internet”, Proceedings of ACM International Conference on Cloud and Autonomic Computing (CAC 2013). ACM Press, Miami, FL, 2013. 22. A Case for MapReduce over the Internet.pdf (261.86 KB)
22. A Case for MapReduce over the Internet.pdf (261.86 KB), “Cloud Computing for the Architecture, Engineering & Construction Sector: Requirements, Prototype & Experience”, Journal of Cloud Computing: Advances, Systems and Applications, vol. 2, no. 8, pp. 1–16, 2013. 13. Cloud Computing for the Architecture, Engineering & Construction Sector.pdf (4.59 MB)
13. Cloud Computing for the Architecture, Engineering & Construction Sector.pdf (4.59 MB), “Enabling Real-time In-Situ Processing of Ubiquitous Mobile-Application Workflows”, Proc. of IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS). Hangzhou, China, 2013. 2013_MASS_MobWorkflows.pdf (537.95 KB)
2013_MASS_MobWorkflows.pdf (537.95 KB)“Exploring Energy and Performance Behaviors of Data-Intensive Scientific Workflows on Systems with Deep Memory Hierarchies”, Proceedings of 20th Annual International Conference on High Performance Computing (HiPC 2013). IEEE, Hyderabad, India, 2013. 16. Exploring Energy and Performance Behaviors of Data-Intensive Scientific Workflows on Systems with Deep Memory Hierarchies.pdf (1.33 MB)
16. Exploring Energy and Performance Behaviors of Data-Intensive Scientific Workflows on Systems with Deep Memory Hierarchies.pdf (1.33 MB)Pages
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