Figure 1.
The process of similarity computing. The similarity calculation is mainly based on some semantic computing methods
- Previous Article
- MFC Home
- This Issue
-
Next Article
A survey on security and privacy issues of blockchain technology
May
2018, 1(2): 101-119.
doi: 10.3934/mfc.2018006
Web services recommendation leveraging semantic similarity computing
| 1. | School of Information Engineering, China University of Geosciences (Beijing), China |
| 2. | Computer Science Department, University of California, Santa Cruz, USA |
| 3. | School of Information Engineering, China University of Geosciences (Beijing), China |
| 4. | Computer Science Department, TELECOM SudParis, France |
With the popularity of Web services adopted for supporting domain applications, recommending and composing appropriate services with respect to user requirements is a challenge. This paper proposes a dynamic programming and variable length genetic algorithm for the recommendation and composition of Web services. Generally, starting and ending services are determined leveraging the constructed service network model. Based on which, services are selected and composed, such that these services should be more appropriate on satisfying users' requirements. Experimental evaluation result shows that our technique is effective and can improve the accuracy of service recommendation.
Mathematics Subject Classification:
Primary: 58F15, 58F17; Secondary: 53C35.
Citation:
Boran Hu, Zehui Cheng, Zhangbing Zhou. Web services recommendation leveraging semantic similarity computing. Mathematical Foundations of Computing,
2018, 1
(2)
: 101-119.
doi: 10.3934/mfc.2018006
![]()
References:
| [1] |
P. Brazier, A. Chebotko, E. Gonzalez, A. Kashlev and A. Piazza, Supporting Geosciences Web Services Metadata Management and Discovery, IEEE International Conference on Services Computing, (2010), 625-626. |
| [2] |
Z. Cai, Z. He, X. Guan and Y. Li, Collective data-sanitization for preventing sensitive information inference attacks in social networks,
EEE Transactions on Dependable and Secure Computing, (2016).
doi: 10.1109/TDSC.2016.2613521. |
| [3] |
B. Cheng, S. Zhao, C. Li and J. Chen, A web services discovery approach based on mining underlying interface semantics, IEEE Transactions on Knowledge and Data Engineering, 29 (2017), 950-962. |
| [4] |
Z. Cheng, B. Yao, X. Wang and Z. Zhou, Web service sub-chain recommendation leveraging graph searching, IEEE Computers, Communications and IT Applications Conference, (2014), 271-275. |
| [5] |
S. Cheng, Z. Cai, J. Li and Xiaolin Fang, Drawing dominant dataset from big sensory data in wireless sensor networks, INFOCOM, (2015), 531-539. |
| [6] |
S. Cheng, Z. Cai and Jianzhong Li, Curve Query Processing in Wireless Sensor Networks, IEEE Transactions on Vehicular Technology, 64 (2015), 5198-5209. |
| [7] |
S. Cheng, Z. Cai, J. Li and Hong Gao, Extracting Kernel Dataset from Big Sensory Data in Wireless Sensor Networks, IEEE Transactions on Knowledge and Data Engineering, 29 (2017), 813-827. |
| [8] |
U. Chukmol, A. N. Benharkat and Y. Amghar, Towards a user-oriented framework for web service discovery, reuse and evolution, IEEE Computer Society, (2009), 415-422. |
| [9] |
F. Dafedar and K. F. Bharati, A fast collaborative filtering approach for web personalized recommendation system, 2017 International Conference on Information Communication and Embedded Systems (ICICES), (2017), 1-7. |
| [10] |
D. Fitzner, J. Hoffmann and E. Klien, Functional description of geoprocessing services as conjunctive datalog queries, Geoinformatica, 15 (2011), 191-221. |
| [11] |
Y. Gao, J. Na, B. Zhang, L. Yang and Q. Gong, Optimal web services selection using dynamic programming, IEEE Symposium on Computers and Communications, (2006), 365-370. |
| [12] |
E. Khanfir, R. B. Djmeaa and I. Amous, Self-adaptive goal-driven web service composition based on context and QoS, 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE), (2017), 201-207. |
| [13] |
X. Li, L. Di, W. Han, P. Zhao and U. Dadi, Sharing geoscience algorithms in a Web service-oriented environment (GRASS GIS example), Computer Geosciences, 36 (2010), 1060-1068. |
| [14] |
S. Li, J. Wen, F. Luo, M. Gao, J. Zeng and Z. Dong, A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side, IEEE Transactions on Network and Service Management, 14 (2017), 332-342. |
| [15] |
H. Li and B. Wu, Adaptive geo-information processing service evolution: Reuse and local modification method, Isprs Journal of Photogrammetry Remote Sensing, 83 (2013), 165-183. |
| [16] |
W. Li, C. Yang, D. Nebert, R. Raskin, P. Houser, H. Wu and Z. Li, Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructure, Computers & Geosciences, 37 (2011), 1752-1762. |
| [17] |
S. Li and M. Chen, An adaptive-GA based QoS driven service selection for Web services composition, International Conference on Computer Application and System Modeling, (2010), 416-418. |
| [18] |
G. Liu, Y. Zhao, Z. Wang and Y. Liu, A Service Chain Discovery and Recommendation Scheme Using Complex Network Theory, Mathematical Problems in Engineering, 2014, (2014-1-16), 2014 (2014), 1-6. |
| [19] |
X. Luo, H. Luo and X. Chang, Online optimization of collaborative web service QoS prediction based on approximate dynamic programming, International Conference on Identification, Information and Knowledge in the Internet of Things, (2014), 80-83. |
| [20] |
H. Ma, A. Wang and M. Zhang, A hybrid approach using genetic programming and greedy search for QoS-aware web service composition, Springer Berlin Heidelberg, (2015), 180-205. |
| [21] |
L. Miao, Y. Zhou, W. Cheng and Jing Guo, 2015 Fourth international conference on agro-geoinformatics (agro-geoinformatics), 2015 Fourth International Conference on Agro-Geoinformatics (Agro-geoinformatics), (2015), 217-220. |
| [22] |
A. Mohan, M. Ebrahimi and S. Lu, A folksonomy-based social recommendation system for scientific workflow reuse, IEEE International Conference on Services Computing, (2015), 704-711. |
| [23] |
M. Nandhini and S, M. Sendil, Web service quality composition determination using genetic algorithm in sematic web, International Journal of Computer Science and Information Technologies, 3 (2013), 4704-4706. |
| [24] |
L. Purohit, S. Kumar and D. Kshirsagar,
Analyzing genetic algorithm for web service selection, International Conference on Next Generation Computing Technologies, (2016), 999-1003.
doi: 10.1109/NGCT.2015.7375271. |
| [25] |
J. Starlinger, S. Cohenboulakia, S. Khanna, S. Davidson and U. Leser,
Layer decomposition: An effective structure-based approach for scientific workflow similarity, American Physical Society, (2014), 314-323.
doi: 10.1109/eScience.2014.19. |
| [26] |
D. M. Stewart and J Cody, A self-organizing P2P framework for collective service discovery, Journal of Network Computer Applications, 39 (2014), 214-222. |
| [27] |
G. Vadivelou and E. Ilavarasan,
QoS-based web service ranking model considering decision making methods, 2017 World Congress on Computing and Communication Technologies (WCCCT), (2017), 198-202.
doi: 10.1109/WCCCT.2016.56. |
| [28] |
Y. Wang, G. Yin, Z. Cai, Y. Dong and H. Dong,
A trust-based probabilistic recommendation model for social networks, Journal of Network and Computer Applications, 55 (2015), 59-67.
doi: 10.1016/j.jnca.2015.04.007. |
| [29] |
Y. Wang, H. Li and A. Luo, A hybrid classification matching method for geospatial services, Transactions in Gis, 16 (2012), 781-805. |
| [30] |
J. Wang, P. Gao, Y. Ma, K. He and P. C. K. Hung,
A web service discovery approach based on common topic groups extraction, IEEE Transactions on Services Computing, 5 (2017), 10193-10208.
doi: 10.1109/ACCESS.2017.2712744. |
| [31] |
H. Xia and T. Yoshida,
Web service recommendation with ontology-based similarity measure, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007), (2007), 412-412.
doi: 10.1109/ICICIC.2007.620. |
| [32] |
M. Yokoyama, Y. Kiyoki and T. Mita,
Similarity-ranking method based on semantic computing for a context-aware system, International Conference on Knowledge Creation and Intelligent Computing, (2017), 21-27.
doi: 10.1109/KCIC.2016.7883620. |
| [33] |
L. Yu, J. Zhou, J. Zhang, F. Wei and J. Wang, Time-aware semantic web service recommendation, 2015 IEEE International Conference on Services Computing, (2015), 664-671. |
| [34] |
P. Yue, J. Gong, L. Di, L. He and Y. Wei,
Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure, Geoinformatica, 15 (2011), 273-303.
doi: 10.1007/s10707-009-0096-1. |
| [35] |
Z. Zhao, X. Hong and S. Wang, A web service composition method based on merging genetic algorithm and ant colony algorithm, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, (2015), 1007–1011. |
| [36] |
Z. Zhao, X. Hong and S. Wang, A web service composition method based on merging genetic
algorithm and ant colony algorithm, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic
and Secure Computing; Pervasive Intelligence and Computing, (2015), 1007–1011.
doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.152. |
| [37] |
X. Zheng, Z. Cai, J. Li and H. Gao, Location-privacy-aware review publication mechanism for local business service systems,
The 36th Annual IEEE International Conference on Computer Communications (INFOCOM 2017) (2017).
doi: 10.1109/INFOCOM.2017.8056976. |
| [38] |
Z. Zhou, Z. Cheng, L.-J. Zhang, W. Gaaloul and K. Ning,
Scientific workflow clustering and recommendation leveraging layer hierarchical analysis, IEEE Transactions on Services Computing, 11 (2018), 169-183.
doi: 10.1109/TSC.2016.2542805. |
| [39] |
X. Zhou and F. Mao,
A semantics web service composition approach based on cloud computing, Fourth International Conference on Computational and Information Sciences, (2012), 807-810.
doi: 10.1109/ICCIS.2012.43. |
| [40] |
Y. Zhu,
A book recommendation algorithm based on collaborative filtering, 2016 5th International Conference on Computer Science and Network Technology (ICCSNT), (2016), 286-289.
doi: 10.1109/ICCSNT.2016.8070165. |
show all references
References:
| [1] |
P. Brazier, A. Chebotko, E. Gonzalez, A. Kashlev and A. Piazza, Supporting Geosciences Web Services Metadata Management and Discovery, IEEE International Conference on Services Computing, (2010), 625-626. |
| [2] |
Z. Cai, Z. He, X. Guan and Y. Li, Collective data-sanitization for preventing sensitive information inference attacks in social networks,
EEE Transactions on Dependable and Secure Computing, (2016).
doi: 10.1109/TDSC.2016.2613521. |
| [3] |
B. Cheng, S. Zhao, C. Li and J. Chen, A web services discovery approach based on mining underlying interface semantics, IEEE Transactions on Knowledge and Data Engineering, 29 (2017), 950-962. |
| [4] |
Z. Cheng, B. Yao, X. Wang and Z. Zhou, Web service sub-chain recommendation leveraging graph searching, IEEE Computers, Communications and IT Applications Conference, (2014), 271-275. |
| [5] |
S. Cheng, Z. Cai, J. Li and Xiaolin Fang, Drawing dominant dataset from big sensory data in wireless sensor networks, INFOCOM, (2015), 531-539. |
| [6] |
S. Cheng, Z. Cai and Jianzhong Li, Curve Query Processing in Wireless Sensor Networks, IEEE Transactions on Vehicular Technology, 64 (2015), 5198-5209. |
| [7] |
S. Cheng, Z. Cai, J. Li and Hong Gao, Extracting Kernel Dataset from Big Sensory Data in Wireless Sensor Networks, IEEE Transactions on Knowledge and Data Engineering, 29 (2017), 813-827. |
| [8] |
U. Chukmol, A. N. Benharkat and Y. Amghar, Towards a user-oriented framework for web service discovery, reuse and evolution, IEEE Computer Society, (2009), 415-422. |
| [9] |
F. Dafedar and K. F. Bharati, A fast collaborative filtering approach for web personalized recommendation system, 2017 International Conference on Information Communication and Embedded Systems (ICICES), (2017), 1-7. |
| [10] |
D. Fitzner, J. Hoffmann and E. Klien, Functional description of geoprocessing services as conjunctive datalog queries, Geoinformatica, 15 (2011), 191-221. |
| [11] |
Y. Gao, J. Na, B. Zhang, L. Yang and Q. Gong, Optimal web services selection using dynamic programming, IEEE Symposium on Computers and Communications, (2006), 365-370. |
| [12] |
E. Khanfir, R. B. Djmeaa and I. Amous, Self-adaptive goal-driven web service composition based on context and QoS, 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE), (2017), 201-207. |
| [13] |
X. Li, L. Di, W. Han, P. Zhao and U. Dadi, Sharing geoscience algorithms in a Web service-oriented environment (GRASS GIS example), Computer Geosciences, 36 (2010), 1060-1068. |
| [14] |
S. Li, J. Wen, F. Luo, M. Gao, J. Zeng and Z. Dong, A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side, IEEE Transactions on Network and Service Management, 14 (2017), 332-342. |
| [15] |
H. Li and B. Wu, Adaptive geo-information processing service evolution: Reuse and local modification method, Isprs Journal of Photogrammetry Remote Sensing, 83 (2013), 165-183. |
| [16] |
W. Li, C. Yang, D. Nebert, R. Raskin, P. Houser, H. Wu and Z. Li, Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructure, Computers & Geosciences, 37 (2011), 1752-1762. |
| [17] |
S. Li and M. Chen, An adaptive-GA based QoS driven service selection for Web services composition, International Conference on Computer Application and System Modeling, (2010), 416-418. |
| [18] |
G. Liu, Y. Zhao, Z. Wang and Y. Liu, A Service Chain Discovery and Recommendation Scheme Using Complex Network Theory, Mathematical Problems in Engineering, 2014, (2014-1-16), 2014 (2014), 1-6. |
| [19] |
X. Luo, H. Luo and X. Chang, Online optimization of collaborative web service QoS prediction based on approximate dynamic programming, International Conference on Identification, Information and Knowledge in the Internet of Things, (2014), 80-83. |
| [20] |
H. Ma, A. Wang and M. Zhang, A hybrid approach using genetic programming and greedy search for QoS-aware web service composition, Springer Berlin Heidelberg, (2015), 180-205. |
| [21] |
L. Miao, Y. Zhou, W. Cheng and Jing Guo, 2015 Fourth international conference on agro-geoinformatics (agro-geoinformatics), 2015 Fourth International Conference on Agro-Geoinformatics (Agro-geoinformatics), (2015), 217-220. |
| [22] |
A. Mohan, M. Ebrahimi and S. Lu, A folksonomy-based social recommendation system for scientific workflow reuse, IEEE International Conference on Services Computing, (2015), 704-711. |
| [23] |
M. Nandhini and S, M. Sendil, Web service quality composition determination using genetic algorithm in sematic web, International Journal of Computer Science and Information Technologies, 3 (2013), 4704-4706. |
| [24] |
L. Purohit, S. Kumar and D. Kshirsagar,
Analyzing genetic algorithm for web service selection, International Conference on Next Generation Computing Technologies, (2016), 999-1003.
doi: 10.1109/NGCT.2015.7375271. |
| [25] |
J. Starlinger, S. Cohenboulakia, S. Khanna, S. Davidson and U. Leser,
Layer decomposition: An effective structure-based approach for scientific workflow similarity, American Physical Society, (2014), 314-323.
doi: 10.1109/eScience.2014.19. |
| [26] |
D. M. Stewart and J Cody, A self-organizing P2P framework for collective service discovery, Journal of Network Computer Applications, 39 (2014), 214-222. |
| [27] |
G. Vadivelou and E. Ilavarasan,
QoS-based web service ranking model considering decision making methods, 2017 World Congress on Computing and Communication Technologies (WCCCT), (2017), 198-202.
doi: 10.1109/WCCCT.2016.56. |
| [28] |
Y. Wang, G. Yin, Z. Cai, Y. Dong and H. Dong,
A trust-based probabilistic recommendation model for social networks, Journal of Network and Computer Applications, 55 (2015), 59-67.
doi: 10.1016/j.jnca.2015.04.007. |
| [29] |
Y. Wang, H. Li and A. Luo, A hybrid classification matching method for geospatial services, Transactions in Gis, 16 (2012), 781-805. |
| [30] |
J. Wang, P. Gao, Y. Ma, K. He and P. C. K. Hung,
A web service discovery approach based on common topic groups extraction, IEEE Transactions on Services Computing, 5 (2017), 10193-10208.
doi: 10.1109/ACCESS.2017.2712744. |
| [31] |
H. Xia and T. Yoshida,
Web service recommendation with ontology-based similarity measure, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007), (2007), 412-412.
doi: 10.1109/ICICIC.2007.620. |
| [32] |
M. Yokoyama, Y. Kiyoki and T. Mita,
Similarity-ranking method based on semantic computing for a context-aware system, International Conference on Knowledge Creation and Intelligent Computing, (2017), 21-27.
doi: 10.1109/KCIC.2016.7883620. |
| [33] |
L. Yu, J. Zhou, J. Zhang, F. Wei and J. Wang, Time-aware semantic web service recommendation, 2015 IEEE International Conference on Services Computing, (2015), 664-671. |
| [34] |
P. Yue, J. Gong, L. Di, L. He and Y. Wei,
Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure, Geoinformatica, 15 (2011), 273-303.
doi: 10.1007/s10707-009-0096-1. |
| [35] |
Z. Zhao, X. Hong and S. Wang, A web service composition method based on merging genetic algorithm and ant colony algorithm, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, (2015), 1007–1011. |
| [36] |
Z. Zhao, X. Hong and S. Wang, A web service composition method based on merging genetic
algorithm and ant colony algorithm, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic
and Secure Computing; Pervasive Intelligence and Computing, (2015), 1007–1011.
doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.152. |
| [37] |
X. Zheng, Z. Cai, J. Li and H. Gao, Location-privacy-aware review publication mechanism for local business service systems,
The 36th Annual IEEE International Conference on Computer Communications (INFOCOM 2017) (2017).
doi: 10.1109/INFOCOM.2017.8056976. |
| [38] |
Z. Zhou, Z. Cheng, L.-J. Zhang, W. Gaaloul and K. Ning,
Scientific workflow clustering and recommendation leveraging layer hierarchical analysis, IEEE Transactions on Services Computing, 11 (2018), 169-183.
doi: 10.1109/TSC.2016.2542805. |
| [39] |
X. Zhou and F. Mao,
A semantics web service composition approach based on cloud computing, Fourth International Conference on Computational and Information Sciences, (2012), 807-810.
doi: 10.1109/ICCIS.2012.43. |
| [40] |
Y. Zhu,
A book recommendation algorithm based on collaborative filtering, 2016 5th International Conference on Computer Science and Network Technology (ICCSNT), (2016), 286-289.
doi: 10.1109/ICCSNT.2016.8070165. |
Figure 2.
The simplified web service network model based on spatial Web services in CSISS OWSs, which consists of 6 operations and 36 directed edges
Figure 3.
State change of Dynamic Programming, the state will change until all the operations are included, and only part of the steps are shown in the diagram
Figure 4.
The computation process of cross operator.In order to simplify, this graph is the first calculation process, the subsequent variable length operator will make the length of the chromosome change, the length will become uncertain
Figure 5.
The process of decreasing the length in variable-length operator. We decrease the length of subsegments by deleting some non-critical operations randomly
Figure 6.
The process of increasing the length in variable-length operator. We increase the length of subsegments by adding some non-critical operations randomly
Figure 7.
The run time and the aim function of DP algorithm when the length of paths is set from 3 to 9
Figure 8.
The average weight of DP algorithm when the length of paths is set from 3 to 9
Figure 9.
Comparison of run time for DP and GA, when the number of operations is set from 30 to 70
Figure 10.
Comparison of aim function for DP and GA, when the number of operations is set from 30 to 70
Figure 11.
Comparison of average weight for DP and GA, when the number of operations is set from 30 to 70
| [1] |
Tao Jiang, Liwei Liu. Analysis of a batch service multi-server polling system with dynamic service control. Journal of Industrial & Management Optimization, 2018, 14 (2) : 743-757. doi: 10.3934/jimo.2017073 |
| [2] |
Ryan Loxton, Qun Lin. Optimal fleet composition via dynamic programming and golden section search. Journal of Industrial & Management Optimization, 2011, 7 (4) : 875-890. doi: 10.3934/jimo.2011.7.875 |
| [3] |
Bong Joo Kim, Gang Uk Hwang, Yeon Hwa Chung. Traffic modelling and bandwidth allocation algorithm for video telephony service traffic. Journal of Industrial & Management Optimization, 2009, 5 (3) : 541-552. doi: 10.3934/jimo.2009.5.541 |
| [4] |
Abdel-Rahman Hedar, Alaa Fahim. Filter-based genetic algorithm for mixed variable programming. Numerical Algebra, Control & Optimization, 2011, 1 (1) : 99-116. doi: 10.3934/naco.2011.1.99 |
| [5] |
Kyung Jae Kim, Jin Soo Park, Bong Dae Choi. Admission control scheme of extended rtPS algorithm for VoIP service in IEEE 802.16e with adaptive modulation and coding. Journal of Industrial & Management Optimization, 2010, 6 (3) : 641-660. doi: 10.3934/jimo.2010.6.641 |
| [6] |
Fei Cheng, Shanlin Yang, Ram Akella, Xiaoting Tang. An integrated approach for selection of service vendors in service supply chain. Journal of Industrial & Management Optimization, 2011, 7 (4) : 907-925. doi: 10.3934/jimo.2011.7.907 |
| [7] |
Wei Fu, Jun Liu, Yirong Lai. Collaborative filtering recommendation algorithm towards intelligent community. Discrete & Continuous Dynamical Systems - S, 2019, 12 (4&5) : 811-822. doi: 10.3934/dcdss.2019054 |
| [8] |
Jun Wu, Shouyang Wang, Wuyi Yue. Supply contract model with service level constraint. Journal of Industrial & Management Optimization, 2005, 1 (3) : 275-287. doi: 10.3934/jimo.2005.1.275 |
| [9] |
Pikkala Vijaya Laxmi, Obsie Mussa Yesuf. Analysis of a finite buffer general input queue with Markovian service process and accessible and non-accessible batch service. Journal of Industrial & Management Optimization, 2010, 6 (4) : 929-944. doi: 10.3934/jimo.2010.6.929 |
| [10] |
Gábor Horváth, Zsolt Saffer, Miklós Telek. Queue length analysis of a Markov-modulated vacation queue with dependent arrival and service processes and exhaustive service policy. Journal of Industrial & Management Optimization, 2017, 13 (3) : 1365-1381. doi: 10.3934/jimo.2016077 |
| [11] |
Michiel De Muynck, Herwig Bruneel, Sabine Wittevrongel. Analysis of a discrete-time queue with general service demands and phase-type service capacities. Journal of Industrial & Management Optimization, 2017, 13 (4) : 1901-1926. doi: 10.3934/jimo.2017024 |
| [12] |
Shunfu Jin, Wuyi Yue, Zhanqiang Huo. Performance evaluation for connection oriented service in the next generation Internet. Numerical Algebra, Control & Optimization, 2011, 1 (4) : 749-761. doi: 10.3934/naco.2011.1.749 |
| [13] |
Zhiping Zhou, Xinbao Liu, Jun Pei, Panos M. Pardalos, Hao Cheng. Competition of pricing and service investment between iot-based and traditional manufacturers. Journal of Industrial & Management Optimization, 2018, 14 (3) : 1203-1218. doi: 10.3934/jimo.2018006 |
| [14] |
Zsolt Saffer, Wuyi Yue. A dual tandem queueing system with GI service time at the first queue. Journal of Industrial & Management Optimization, 2014, 10 (1) : 167-192. doi: 10.3934/jimo.2014.10.167 |
| [15] |
Feng Zhang, Jinting Wang, Bin Liu. Equilibrium joining probabilities in observable queues with general service and setup times. Journal of Industrial & Management Optimization, 2013, 9 (4) : 901-917. doi: 10.3934/jimo.2013.9.901 |
| [16] |
Suresh P. Sethi, Houmin Yan, Hanqin Zhang, Jing Zhou. Information Updated Supply Chain with Service-Level Constraints. Journal of Industrial & Management Optimization, 2005, 1 (4) : 513-531. doi: 10.3934/jimo.2005.1.513 |
| [17] |
Jeongsim Kim, Bara Kim. Stability of a queue with discriminatory random order service discipline and heterogeneous servers. Journal of Industrial & Management Optimization, 2017, 13 (3) : 1237-1254. doi: 10.3934/jimo.2016070 |
| [18] |
Shunfu Jin, Haixing Wu, Wuyi Yue, Yutaka Takahashi. Performance evaluation and Nash equilibrium of a cloud architecture with a sleeping mechanism and an enrollment service. Journal of Industrial & Management Optimization, 2017, 13 (5) : 1-18. doi: 10.3934/jimo.2019060 |
| [19] |
Andrzej Nowakowski, Jan Sokolowski. On dual dynamic programming in shape control. Communications on Pure & Applied Analysis, 2012, 11 (6) : 2473-2485. doi: 10.3934/cpaa.2012.11.2473 |
| [20] |
Jérôme Renault. General limit value in dynamic programming. Journal of Dynamics & Games, 2014, 1 (3) : 471-484. doi: 10.3934/jdg.2014.1.471 |
Impact Factor:
Tools
Metrics
Other articles
by authors
[Back to Top]