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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. Gu,Z. 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. Gu,Z. 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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