Dr. Yi Gu

Associate Professor
 
KOM 301A (Kirksey Old Main Building)
Department of Computer Science
Middle Tennessee State University
Murfreesboro, TN 37132
Email: Yi.Gu<at>mtsu.edu
Phone: (615) 904-8238
 





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  (Publications marked with * were resulted from joint research with students under my direct advising and supervision)

Journals

1)     *H. Alrammah and Y. Gu. “Tri-Objective Optimization for Large-scale Scientific Workflow Scheduling in Clouds”. Journal of Parallel and Distributed Computing, 2023. (In preparation)

2)     *Y. Gu and C. Budati. “Energy-Aware Workflow Scheduling and Optimization in Clouds using Bat Algorithm”. Future Generation Computer Systems, vol. 113, pp. 106-112, Dec. 2020. (IF: 6.125)

3)     Y. Gu and Q. Wu. “Performance Analysis and Optimization of Distributed Workflows in Heterogeneous Network Environments”. IEEE Transactions on Computers, vol. 65, no. 4, pp. 1266-1282, 2016. (IF: 3.131)

4)     D. Yun, C.Q. Wu and Y. Gu. “An Integrated Approach to Workflow Mapping and Task Scheduling for Delay Minimization in Distributed Environments”. Journal of Parallel and Distributed Computing, vol. 84, pp. 51-64, 2015. (IF: 2.296)

5)     Z. Cao, C.Q. Wu, Y. Zhang, S.G. Shiva and Y. Gu. “On Modeling and Analysis of MIMO Wireless Mesh Networks with Triangular Overlay Topology”. Mathematical Problems in Engineering, vol. 2015, Article ID 185262, 11 pages, 2015.  (IF: 1.100)

6)     Y. Gu, Q. Wu, X. Liu and D. Yu. “Distributed Throughput Optimization for Large-scale Scientific Workflows under Fault-tolerance Constraint”. Journal of Grid Computing, vol. 11, no. 3 pp. 361-379, Sep. 2013. (IF: 2.872)

7)     Q. Wu, M. Zhu, Y. Gu, P. Brown, X. Lu, W. Lin, and Y. Liu. “A Distributed Workflow Management System with Case Study of Real-life Scientific Applications on Grids”. Journal of Grid Computing, vol. 10, no. 3, pp. 367-393, 2012. (IF: 2.872)

8)     Q. Wu and Y. Gu. “Modeling and Simulation of Distributed Computing Workflows in Heterogeneous Network Environments”. SIMULATION: Transactions of the Society for Modeling and Simulation International, Special Issue: Performance Evaluation, Modeling and Optimization of Computer Systems, vol. 87, no. 12, pp. 1045-1061, Dec. 2011. (IF: 1.20)

9)     Q. Wu and Y. Gu. “Optimizing End-to-end Performance of Data-intensive Computing Pipelines in Heterogeneous Network Environments”. Journal of Parallel and Distributed Computing, vol. 71, no. 2, pp. 254-265, Feb. 2011. (IF: 2.296)

10)  Y. Gu, Q. Wu and N.S.V. Rao. “Optimizing Cluster Heads for Energy Efficiency in Large-scale Heterogeneous Wireless Sensor Networks”. International Journal of Distributed Sensor Networks, vol. 2010, Article ID 961591, 9 pages, 2010. (Invited paper) (IF: 1.239)

11)  Q. Wu, M. Zhu, Y. Gu, and N.S.V. Rao. “System Design and Algorithmic Development for Computational Steering in Distribut ed Environments”. IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 4, pp. 438-451, Apr. 2010. (IF: 2.6)

12)  Y. Gu, Q. Wu, M. Zhu, and N.S.V. Rao. “Complexity Analysis of Pipeline Mapping Problems in Distributed Heterogeneous Networks”. International Journal of Distributed Sensor Networks, vol. 5, no. 1, pp. 2, 2009. (IF: 1.239)

13)  S. Ju, Y. GuZ. Tang and W. Chen. “Definition of the Constraint with Spatial Characters”. International Journal of Distributed Sensor Networks, vol. 5, no. 1, pp. 51, 2009. (IF: 1.239)


Book Chapters

14)  Q. Wu and Y. Gu. “Performance Analysis and Optimization of Linear Workflows in Heterogeneous Network Environments”. Grid Computing: Towards a Global Interconnected Infrastructure, Nikolaos P. Preve (editor), Springer, ISBN: 978-0-85729-675-7, 2011 (acceptance rate: 17.6%).

15)  Q. Wu, Y. Gu and B. Montgomery. “A Distributed Augmented Reality System Using 3D Fiducial Objects”. Computer Science Research and the Internet, Jaclyn E. Morris (editor), Nova Science Publishers, Inc., ISBN: 978-1-61728-730-5, 2010.


Conferences and Workshops

16)  *F. Tawfik and Y. Gu. “An Advanced Convolutional Neural Network for Detecting Chest X-ray Abnormalities”, International Conference on Image Processing and Machine Intelligence (IPMI 2023), Singapore, Feb. 25-27, 2023.

17)  *H. Alrammah and Y. Gu. “Workflow Scheduling in Clouds using Pareto Dominance for Makespan, Cost and Energy”. In Proceedings of the IEEE International Conference on Communications (ICC 2021), Montreal, Canada, Jun. 14-23, 2021.

18)  *H. Alrammah, Y. Gu, and Z. Liu. “Tri-Objective Workflow Scheduling and Optimization in Heterogeneous Cloud Environments”. In Proceedings of the 21st IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2020), in conjunction with the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2020), New Orleans, LA, May 22, 2020.

19)  *H. Alrammah, Y. Gu, C.Q. Wu, and S. Ju. “Scheduling for Energy Efficiency and Throughput Maximization in a Faulty Cloud Environment”. In Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS 2017), Shenzhen, China, Dec. 15-17, 2017.

20)  D. Yun, Q. Wu, Y. Gu, and X. Liu. “On an Integrated Mapping and Scheduling Solution to Large-scale Scientific Workflows in Resource Sharing Environments”. In Proceedings of the 46th Annual Simulation Symposium (ANSS13), San Diego, CA, Apr. 7-10, 2013.

21)  Q. Wu, D. Yun, X. Lin, Y. Gu, W. Lin, Y. Liu. “On Workflow Scheduling for End-to-end Performance Optimization in Distributed Network Environments”. In Proceedings of the 16th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2012), in Conjunction with IPDPS 2012, Shanghai, China, May 25, 2012.

22)  Y. Gu, S. Shenq, Q. Wu and D. Dasgupta. “On a Multi-objective Evolutionary Algorithm for Optimizing End-to-end Performance of Scientific Workflows in Distributed Environments”. In Proceedings of the 45th Annual Simulation Symposium (ANSS12), part of the 2012 Spring Simulation Multiconference (SpringSim12), Orlando, FL, Mar. 26-29, 2012. (Best Paper Award)

23)  Q. Wu, M. Zhu, Y. Gu, X. Lu, P. Brown, M.A. Reuter, S.D. Miller. “A Distributed Workflow Management System with Case Study of Real-life Scientific Applications”. In Proceedings of the 30th IEEE International Performance Computing and Communications Conference (IPCCC 2011), Orlando, FL, Nov. 17-19, 2011. (36/129=27.9%)

24)  Y. Gu, Q. Wu, X. Liu, and D. Yu. “Improving Throughput and Reliability of Distributed Scientific Workflows for Streaming Data Processing”. In Proceedings of the 13th International Conference on High Performance and Communications (HPCC 2011), Banff, Canada, Sep. 2-4, 2011.

25)  Y. Gu, Q. Wu and N. S.V. Rao. “Analyzing Execution Dynamics of Scientific Workflows for Latency Minimization in Resource Sharing Environments”. In Proceedings of the 7th IEEE World Congress on Services (SERVICES 2011), the 5th IEEE International Workshop on Scientific Workflows (SWF 2011), Washington DC, USA, Jul. 4-9, 2011.

26)  Q. Wu, Y. Gu, Y. Liao, X. Lu, Y. Lin and N.S.V. Rao. “Latency Modeling and Minimization for Large-scale Scientific Workflows in Distributed Network Environments”. In Proceedings of the 44th Annual Simulation Symposium (ANSS11), part of the 2011 Spring Simulation Multiconference (SpringSim11), Boston, MA, Apr. 4-7, 2011. (Invited paper)

27)  Q. Wu, Y. Gu, X. Lu, M. Zhu, P. Brown, W. Lin and Y. Liu. “On Optimization of Scientific Workflows to Support Streaming Applications in Distributed Network Environments”. In Proceedings of the 5th Workshop on Workflows in Support of Large-Scale Science (WORKS 2010) (in conjunction with SC 2010), New Orleans, LA, Nov. 14, 2010.

28)  Q. Wu and Y. Gu. “A Distributed Workflow Mapping Algorithm for Minimum End-to-end Delay under Fault-tolerance Constraint”. In Proceedings of the 16th International Conference on Parallel and Distributed Systems (ICPADS 2010), pp. 508-515, Shanghai, China, Dec. 8-10, 2010.

29)  Y. Lin, Q. Wu, X. Lu and Y. Gu. “Bandwidth Constrained Tree Construction for Live Streaming Systems in P2P Networks”. In Proceedings of the16th International Conference on Parallel and Distributed Systems (ICPADS 2010), pp. 516-523, Shanghai, China, Dec. 8-10, 2010.

30)  Q. Wu, Y. Gu, X. Cui, P. Moka, and Y. Lin. “A Graph Similarity-based Approach to Security Event Analysis Using Correlation Techniques”. In Proceedings of the IEEE Global Communications Conference (GLOBECOM 2010), pp. 1-5, Miami, FL, Dec. 6-10, 2010. (Acceptance rate: 1313/3688=35.6%, 1008 presented as lectures and 305 as posters)

31)  Y. Gu and Q. Wu. “Maximizing Workflow Throughput for Streaming Applications in Distributed Environments”. In Proceedings of the 19th International Conference on Computer Communications and Networks (ICCCN 2010), pp. 1-6, Zurich, Switzerland, Aug. 2-5, 2010.

32)  Q. Wu, M. Zhu, X. Lu, P. Brown, Y. Lin, Y. Gu, F. Cao and M. Reuter. “Automation and Management of Scientific Workflows in Distributed Network Environments”. In Proceedings of the 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS-SMTPS 2010), pp. 1-8, Atlanta, GA, Apr. 19, 2010.

33)  Y. Gu and Q. Wu. “Optimizing Distributed Computing Workflows in Heterogeneous Network Environments”. In Proceedings of the 11th International Conference on Distributed Computing and Networking (ICDCN 2010), vol. 5935, pp. 142-154, Kolkata, India, Jan. 3-6, 2010. (Acceptance rate: 37/169=21.9%)

34)  Y. Gu, Q. Wu, A. Benoit, and Y. Robert. “Optimizing End-to-end Performance of Distributed Applications with Linear Computing Pipelines”. In Proceedings of the 15th International Conference on Parallel and Distributed Systems (ICPADS 2009), pp. 252-259, Shenzhen, China, Dec. 8-11, 2009. (acceptance rate: 29%)

35)  Q. Wu, Y. Gu, L. Bao, P. Chen, H. Dai, and W. Jia. “Optimizing Distributed Execution of WS-BPEL Processes in Heterogeneous Computing Environments”. In Proceedings of the 6th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine 2009), vol. 22, pp. 770-784, Las Palmas de Gran Canaria, Spain, Nov. 26, 2009. (Invited paper, AAA-IDEA 2009)

36)  Y. Gu, Q. Wu, X. Cai and J.C. Bond. “On Efficient Deployment of High-end Sensors in Large-scale Heterogeneous Wireless Sensor Networks”. In Proceedings of the 6th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS09), pp. 912-917, Macau SAR, China, Oct. 12-15, 2009.

37)  Y. Gu and Q. Wu. “Optimization of Cluster Heads for Energy Efficiency in Large-scale Wireless Sensor Networks”. In Proceedings of the 1st International Conference on Ad Hoc Networks (AdHocNets 2009), vol. 28, pp. 33-48, Niagara Falls, Ontario, Canada, Sep. 23-25, 2009.

38)  Y. Gu, Q. Wu, A. Benoit, and Y. Robert. “Brief Announcement: Complexity Analysis and Algorithm Design for Optimal Pipeline Configuration in Distributed Network Environments”. In Proceedings of the 28th Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 2009), pp. 332-333, Calgary, Alberta, Canada, Aug. 10-12, 2009.

39)  Y. Gu, Q. Wu and N.S.V. Rao. “Optimal Selection of Cluster Heads for Efficient Communication in Large-scale Wireless Sensor Networks”. In Proceedings of the 4th International Innovations and Real-time Applications of Distributed Sensor Networks Symposium (IRA-DSN 2009), Zhejiang, China, May 18-21, 2009.

40)  Q. Wu, Y. Gu and Z. Wang. “Simulation-based Analysis of Performance Dynamics of Distributed Applications in Heterogeneous Network Environments”. In Proceedings of the 42nd Annual Simulation Symposium (ANSS09), part of the 2009 Spring Simulation Multiconference (SpringSim09), San Diego, CA, Mar. 22-27, 2009.

41)  Q. Wu and Y. Gu. “Supporting Distributed Application Workflows in Heterogeneous Computing Environments”. In Proceedings of the 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2008), pp. 3-10, Melbourne, Victoria, Australia, Dec. 8-10, 2008.

42)  B. Montgomery, Q. Wu, and Y. Gu. “A Distributed Augmented Reality System Using 3D Fiducial Objects”. In Proceedings of International Conference on Cyberworlds (CW 2008), pp. 86-93, Hangzhou, China, Sep. 22-24, 2008.

43)  Y. Gu, Q. Wu, M. Zhu, and N.S.V. Rao. “Brief Announcement: Efficient Linear Pipeline Configuration in Distributed Heterogeneous Computing Environments”. In Proceedings of the 27th Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 2008), pp. 432, Toronto, Canada, Aug. 18-21, 2008.

44)  S. Ju, Y. GuZ. Tang and W. Chen. “Definition of the Constraint with Spatial Characters”. In Proceedings of International Symposium on Computer and Sensor Network Systems (ISCSNS 2008), Zhengzhou, China, Apr. 7-10, 2008.

45)  Y. Gu, Q. Wu, M. Zhu, and N.S.V. Rao. “Complexity Analysis of Pipeline Mapping Problems in Distributed Heterogeneous Networks”. In Proceedings of International Symposium on Computer and Sensor Network Systems (ISCSNS 2008), Zhengzhou, China, Apr. 7-10, 2008. (Invited paper)

46)  Q. Wu, Y. Gu, M. Zhu, and N.S.V. Rao. “Optimizing Network Performance of Computing Pipelines in Distributed Environments”. In Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS-PDSEC 2008), pp. 1-8, Miami, FL, Apr. 14-18, 2008.

47)  M. Meng, Y. Lin, Y. Gu, Q. Wu, and N.S.V. Rao. “On Energy-efficient Priority-based Routing in Heterogeneous Sensor Networks”. In Proceedings of the 3rd International Innovations and Real-time Applications of Distributed Sensor Networks Symposium (IRA-DSN 2007), Shreveport, LA, Nov. 26-27, 2007.

48)  W. Guo, S. Ju, and Y. Gu, Web Robot Detection Techniques Based on Statistics of Their Requested URL ResourcesProceedings of the 9th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2005), vol. 1 pp. 302-306, Coventry, UK, May 2005.

 

·       Ph.D. Dissertation: “Optimization and Management of Large-scale Scientific Workflows in Heterogeneous Network Environments: From Theory to Practice”, Dept. of Computer Science, University of Memphis, Aug. 2011. Advisor: Prof. Qishi Wu. (Nominee for the ACM Doctoral Dissertation Award, Oct. 2011.)





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