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Maolin Tang
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2020 – today
- 2024
- [j27]Mapulage Don Rangika Lilukshi Silva
, Maolin Tang
A New Framework for Centralized Coordinated Multi-Vehicle Dynamic Routing. IEEE Access 12: 24243-24253 (2024) - [j26]Amal Alzahrani
Energy-Aware Microservice-Based SaaS Deployment in a Cloud Data Center Using Hybrid Particle Swarm Optimization. IEEE Access 12: 140884-140899 (2024) - [j25]Maolin Tang
Continuous Space Wireless Communication Tower Placement by Hybrid Simulated Annealing. Future Internet 16(4): 117 (2024) - 2023
- [c62]Amal Alzahrani, Maolin Tang:
A Microservice-based SaaS Deployment in a Data Center Considering Computational Server and Network Energy Consumption. CLOUD 2023: 505-515 - [c61]Zhe Ding
Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers. ICONIP (2) 2023: 14-26 - 2022
- [j24]Wei Li
The Performance Optimization of Big Data Processing by Adaptive MapReduce Workflow. IEEE Access 10: 79004-79020 (2022) - 2021
- [j23]Wei Li
The Optimization Strategies on Clarification of the Misconceptions of Big Data Processing in Dynamic and Opportunistic Environments. Big Data Cogn. Comput. 5(3): 38 (2021) - [j22]Fares Alharbi, Yu-Chu Tian
Simultaneous application assignment and virtual machine placement via ant colony optimization for energy-efficient enterprise data centers. Clust. Comput. 24(2): 1255-1275 (2021) - [c60]Amir Jabbari, Farzaneh Masoumiyan, Shuwen Hu, Maolin Tang, Yu-Chu Tian
A Cost-Efficient Resource Provisioning and Scheduling Approach for Deadline-Sensitive MapReduce Computations in Cloud Environment. CLOUD 2021: 600-608 - [c59]Maolin Tang, Qijun Zhao, Zhengxi Liu:
Weakly Labeled Semi-Supervised Sound Event Detection with Multi-Scale Residual Attention. IJCNN 2021: 1-7 - 2020
- [j21]Zhe Ding
Profile-Guided Three-Phase Virtual Resource Management for Energy Efficiency of Data Centers. IEEE Trans. Ind. Electron. 67(3): 2460-2468 (2020)
2010 – 2019
- 2019
- [j20]Chanipa Sonklin, Maolin Tang, Yu-Chu Tian:
An Improved Genetic Algorithm for the Virtual Machine Placement Problem. Aust. J. Intell. Inf. Process. Syst. 16(1): 73-80 (2019) - [j19]Fares Alharbi, Yu-Chu Tian
An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers. Expert Syst. Appl. 120: 228-238 (2019) - [c58]Yaozhong Ge
Resource Provisioning for MapReduce Computation in Cloud Container Environment. NCA 2019: 1-4 - [c57]A. B. M. Moniruzzaman, Richi Nayak
Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods. WWW 2019: 3093-3100 - 2018
- [j18]Meera Vasudevan
Energy-efficient application assignment in profile-based data center management through a Repairing Genetic Algorithm. Appl. Soft Comput. 67: 399-408 (2018) - [j17]Xiaoyong Xu, Maolin Tang, Yu-Chu Tian
QoS-guaranteed resource provisioning for cloud-based MapReduce in dynamical environments. Future Gener. Comput. Syst. 78: 18-30 (2018) - [j16]Xiaoyong Xu, Maolin Tang
Theoretical Results of QoS-Guaranteed Resource Scaling for Cloud-Based MapReduce. IEEE Trans. Cloud Comput. 6(3): 879-889 (2018) - [c56]Samuel Yu Toh, Maolin Tang:
Software-as-a-Service Composition in Cloud Computing Using Genetic Algorithm. ICONIP (2) 2018: 542-551 - [c55]Zhe Ding
Efficient Fitness Function Computation of Genetic Algorithm in Virtual Machine Placement for Greener Data Centers. INDIN 2018: 181-186 - [c54]Neela Gayen, Johannes Ax, Martin Flasskamp, Christian Klarhorst, Thorsten Jungeblut
Scalable Mapping of Streaming Applications onto MPSoCs Using Optimistic Mixed Integer Linear Programming. PDP 2018: 348-352 - 2017
- [j15]Meera Vasudevan
Profile-based application assignment for greener and more energy-efficient data centers. Future Gener. Comput. Syst. 67: 94-108 (2017) - [j14]Meera Vasudevan, Yu-Chu Tian
Profile-based dynamic application assignment with a repairing genetic algorithm for greener data centers. J. Supercomput. 73(9): 3977-3998 (2017) - [c53]Chanipa Sonklin
New Decrease-and-Conquer Strategies for the Dynamic Genetic Algorithm for Server Consolidation. ICONIP (4) 2017: 504-512 - [c52]Fares Alharbi, Yu-Chu Tian
Profile-Based Ant Colony Optimization for Energy-Efficient Virtual Machine Placement. ICONIP (1) 2017: 863-871 - [c51]Maolin Tang, Chien-An Chen:
Wireless Network Gateway Placement by Evolutionary Graph Clustering. ICONIP (3) 2017: 894-902 - [c50]Chanipa Sonklin
A decrease-and-conquer genetic algorithm for energy efficient virtual machine placement in data centers. INDIN 2017: 135-140 - 2016
- [j13]Xiaoyong Xu, Maolin Tang
A New Approach to the Cloud-Based Heterogeneous MapReduce Placement Problem. IEEE Trans. Serv. Comput. 9(6): 862-871 (2016) - [c49]Grant Wu, Maolin Tang
A Trading-Inspired Approach to the Dynamic Server Consolidation Problem in Data Centers. CIT 2016: 776-782 - [c48]Fares Alharbi, Yu Chu Tain, Maolin Tang
Profile-Based Static Virtual Machine Placement for Energy-Efficient Data center. HPCC/SmartCity/DSS 2016: 1045-1052 - [c47]Nur Idawati Md Enzai, Maolin Tang
A Heuristic Algorithm for Multi-Site Computation Offloading in Mobile Cloud Computing. ICCS 2016: 1232-1241 - 2015
- [j12]Maolin Tang
A Hybrid Genetic Algorithm for the Energy-Efficient Virtual Machine Placement Problem in Data Centers. Neural Process. Lett. 41(2): 211-221 (2015) - [j11]Maolin Tang
A Memetic Algorithm for the Location-Based Continuously Operating Reference Stations Placement Problem in Network Real-Time Kinematic. IEEE Trans. Cybern. 45(10): 2214-2223 (2015) - [j10]Keyvan Ansari
A Runtime Integrity Monitoring Framework for Real-Time Relative Positioning Systems Based on GPS and DSRC. IEEE Trans. Intell. Transp. Syst. 16(2): 980-992 (2015) - [c46]Tusher Kumer Sarker, Maolin Tang
A Strength Pareto Evolutionary Algorithm for Live Migration of Multiple Interdependent Virtual Machines in Data Centers. ICONIP (2) 2015: 114-121 - [c45]Tusher Kumer Sarker, Maolin Tang
A Penalty-Based Genetic Algorithm for the Migration Cost-Aware Virtual Machine Placement Problem in Cloud Data Centers. ICONIP (2) 2015: 161-169 - [c44]Meera Vasudevan, Yu-Chu Tian
Using Genetic Algorithm in Profile-Based Assignment of Applications to Virtual Machines for Greener Data Centers. ICONIP (2) 2015: 182-189 - 2014
- [c43]Xiaoyong Xu, Maolin Tang
A More Efficient and Effective Heuristic Algorithm for the MapReduce Placement Problem in Cloud Computing. IEEE CLOUD 2014: 264-271 - [c42]Xiaoyong Xu, Maolin Tang
A new grouping genetic algorithm for the MapReduce placement problem in cloud computing. IEEE Congress on Evolutionary Computation 2014: 1601-1608 - [c41]Zeratul Izzah Mohd Yusoh, Maolin Tang
Composite SaaS scaling in Cloud computing using a hybrid genetic algorithm. IEEE Congress on Evolutionary Computation 2014: 1609-1616 - [c40]Tusher Kumer Sarker, Maolin Tang:
A Random Key Genetic Algorithm for Live Migration of Multiple Virtual Machines in Data Centers. ICONIP (2) 2014: 212-220 - [c39]Meera Vasudevan, Yu-Chu Tian
Profiling: An application assignment approach for green data centers. IECON 2014: 5400-5406 - [c38]Nur Idawati Md Enzai, Maolin Tang
A Taxonomy of Computation Offloading in Mobile Cloud Computing. MobileCloud 2014: 19-28 - 2013
- [c37]Maolin Tang
A hybrid genetic algorithm for the minimum interconnection cut problem. IEEE Congress on Evolutionary Computation 2013: 3004-3011 - [c36]Tusher Kumer Sarker, Maolin Tang
Performance-driven live migration of multiple virtual machines in datacenters. GrC 2013: 253-258 - [c35]Xiaoyong Xu, Maolin Tang
A comparative study of the semi-elastic and fully-elastic mapreduce models. GrC 2013: 380-385 - 2012
- [j9]Pei Yuan Shen, Maolin Tang
Performance and Scalability Assessment for Non-Certificate-Based Public Key Management in VANETs. Int. J. Inf. Secur. Priv. 6(1): 33-56 (2012) - [c34]Zeratul Izzah Mohd Yusoh, Maolin Tang
Composite SaaS Placement and Resource Optimization in Cloud Computing Using Evolutionary Algorithms. IEEE CLOUD 2012: 590-597 - [c33]Maolin Tang
Evolutionary placement of continuously operating reference stations of Network Real-Time Kinematic. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c32]Zeratul Izzah Mohd Yusoh, Maolin Tang
Clustering composite SaaS components in Cloud computing using a Grouping Genetic Algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c31]Gang Xie, Hongbo Guo, Yu-Chu Tian
A Human-Simulated Immune Evolutionary Computation Approach. ICONIP (3) 2012: 92-99 - [c30]Grant Wu, Maolin Tang
Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm. ICONIP (3) 2012: 315-323 - [c29]Maolin Tang
A Parallel Cooperative Co-evolutionary Genetic Algorithm for the Composite SaaS Placement Problem in Cloud Computing. PPSN (2) 2012: 225-234 - [c28]Yongqiang Wu, Maolin Tang
A simulated annealing algorithm for energy efficient virtual machine placement. SMC 2012: 1245-1250 - [c27]Zeratul Izzah Mohd Yusoh, Maolin Tang
A penalty-based grouping genetic algorithm for multiple composite SaaS components clustering in Cloud. SMC 2012: 1396-1401 - [c26]Wei Li, Maolin Tang
Recognising the Capacities of Dynamic Reconfiguration for the QoS Assurance of Running Systems in Concurrent and Parallel Environments. TASE 2012: 177-184 - 2011
- [j8]Lifeng Ai, Maolin Tang
Partitioning composite web services for decentralized execution using a genetic algorithm. Future Gener. Comput. Syst. 27(2): 157-172 (2011) - [c25]Lifeng Ai, Maolin Tang
Resource Allocation and Scheduling of Multiple Composite Web Services in Cloud Computing Using Cooperative Coevolution Genetic Algorithm. ICONIP (2) 2011: 258-267 - [c24]Pei Yuan Shen, Vicky Liu, Maolin Tang, William J. Caelli:
An Efficient Public Key Management System: An Application In Vehicular Ad Hoc Networks. PACIS 2011: 175 - 2010
- [j7]Lifeng Ai, Maolin Tang, Colin J. Fidge:
QoS-oriented Resource Allocation and Scheduling of Multiple CompositeWeb Services in a Hybrid Cloud Using a Random-Key Genetic Algorithm. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [c23]Maolin Tang, Colin J. Fidge:
Reconstruction of Falsified Computer Logs for Digital Forensics Investigations. AISC 2010: 12-21 - [c22]Maolin Tang
A hybrid genetic algorithm for the optimal constrained web service selection problem in web service composition. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c21]Zeratul Izzah Mohd Yusoh, Maolin Tang
A penalty-based genetic algorithm for the composite SaaS placement problem in the Cloud. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c20]Zeratul Izzah Mohd Yusoh, Maolin Tang
A Cooperative Coevolutionary Algorithm for the Composite SaaS Placement Problem in the Cloud. ICONIP (1) 2010: 618-625 - [c19]Alvin Sebastian
A Multicast Routing Scheme for Efficient Safety Message Dissemination in VANET. WCNC 2010: 1-6
2000 – 2009
- 2009
- [j6]Maolin Tang:
Gateways Placement in Backbone Wireless Mesh Networks. Int. J. Commun. Netw. Syst. Sci. 2(1): 44-50 (2009) - [j5]Maolin Tang:
QoS-Aware Reference Station Placement for Regional Network RTK. J. Softw. Eng. Appl. 2(1): 44-49 (2009) - [c18]Maolin Tang
A genetic algorithm for the multi-source and multi-sink minimum vertex cut problem and its applications. IEEE Congress on Evolutionary Computation 2009: 3226-3233 - 2008
- [c17]Lifeng Ai, Maolin Tang
A Penalty-Based Genetic Algorithm for QoS-Aware Web Service Composition with Inter-service Dependencies and Conflicts. CIMCA/IAWTIC/ISE 2008: 738-743 - [c16]Maolin Tang, Yanming Feng
Area-Oriented Reference Station Placement for Network RTK. CSSE (4) 2008: 919-922 - [c15]Maolin Tang:
A New Greedy Algorithm for VLSI Floorplan Optimization. CSSE (4) 2008: 1126-1129 - [c14]Lifeng Ai, Maolin Tang
QoS-Based Web Service Composition Accommodating Inter-service Dependencies Using Minimal-Conflict Hill-Climbing Repair Genetic Algorithm. eScience 2008: 119-126 - 2007
- [j4]Maolin Tang
A Memetic Algorithm for VLSI Floorplanning. IEEE Trans. Syst. Man Cybern. Part B 37(1): 62-69 (2007) - [c13]Raymond Y. K. Lau
Towards Context-Sensitive Domain Ontology Extraction. HICSS 2007: 60 - [c12]Maolin Tang, Raymond Y. K. Lau:
A Parallel Genetic Algorithm for Floorplan Area Optimization. ISDA 2007: 801-806 - 2006
- [j3]Raymond Y. K. Lau
An evolutionary learning approach for adaptive negotiation agents. Int. J. Intell. Syst. 21(1): 41-72 (2006) - 2005
- [c11]Maolin Tang, Raymond Y. K. Lau:
A Hybrid Estimation of Distribution Algorithm for the Minimal Switching Graph Problem. CIMCA/IAWTIC 2005: 708-713 - [c10]Maolin Tang, Alvin Sebastian
A Genetic Algorithm for VLSI Floorplanning Using O-Tree Representation. EvoWorkshops 2005: 215-224 - [c9]Maolin Tang:
An Adaptive Genetic Algorithm for the Minimal Switching Graph Problem. EvoCOP 2005: 224-233 - [c8]Johan Berntsson, Maolin Tang
Adaptive sizing of populations and number of islands in distributed genetic algorithms. GECCO 2005: 1575-1576 - [c7]Johan Berntsson, Maolin Tang
Dynamic optimization of migration topology in internet-based distributed genetic algorithms. GECCO 2005: 1579-1580 - 2004
- [j2]Maolin Tang:
A Cooperative Approach to Switchbox Routing. Int. J. Comput. Their Appl. 11(4): 215-223 (2004) - [c6]Johan Berntsson, Maolin Tang:
A Slicing Structure Representation for the Multi-layer Floorplan Layout Problem. EvoWorkshops 2004: 188-197 - [c5]Maolin Tang:
A model for developing web-based distributed and parallel genetic algorithms. IASTED Conf. on Software Engineering 2004: 532-537 - [c4]Raymond Y. K. Lau
Towards Genetically Optimised Responsive Negotiation Agents. IAT 2004: 295-301 - 2003
- [c3]Johan Berntsson, Maolin Tang
A convergence model for asynchronous parallel genetic algorithms. IEEE Congress on Evolutionary Computation 2003: 2627-2634 - 2001
- [j1]Maolin Tang, Li-Hui Chen
A practical and efficient approach to the constrained via minimization problem. Comput. Electr. Eng. 27(2): 201-216 (2001) - [c2]Maolin Tang
Knowledge-based Genetic Algorithm for Layer Assignment. ACSC 2001: 184-190
1990 – 1999
- 1999
- [c1]Maolin Tang, Kamran Eshraghian, Hon Nin Cheung:
An Efficient Aopproach to Constrained Via Minimization for Two-Layer VLSI Routing. ASP-DAC 1999: 149-152
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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