Computer Science ›› 2021, Vol. 48 ›› Issue (2): 33-40.doi: 10.11896/jsjkx.191100152
• New Distributed Computing Technologies and Systems • Previous Articles Next Articles
LU Yi-fan, CAO Rui-hao, WANG Jun-li, YAN Chun-gang
CLC Number:
[1] ZHANG X Z,LYU T Y,ZHANG B.Modeling of complex ser-vice collaborative network based on service interaction behavior[J].Journal of Software,2016,27(2):231-246. [2] XIN Y Y,NIU J,XIE Z J,et al.Overview of microservice architecture implementation framework[J].Computer Engineering and Application,2018,54(19):16-23. [3] DU M,LI F F,ZHENG G N,et al.DeepLog:Anomaly Detection and Diagnosis from System Logs through Deep Learning[C]//ACM Conference on Computer and Communications Security (CCS).2017:1285-1298. [4] DELAC G,SILIC M,SRBLJIC S.A Reliability ImprovementMethod for SOA-Based Applications[J].IEEE Transactions on Dependable and Secure Computing (TDSC),2015,12(2):136-149. [5] ZHANG W C,SUN H L,LIU X D,et al.Temporal QoS-Aware Web Service Recommendation via Non-negative Tensor Factorization[C]//International World Wide Web Conference (WWW).2014:585-595. [6] SILIC M,DELAC G,SRBLJIC S.Prediction of Atomic WebServices Reliability for QoS-Aware Recommendation[J].IEEE Transactions on Services Computing,2015,8(3):425-438. [7] LO W,YIN J,DENG S,et al.An Extended Matrix Factorization Approach for QoS Prediction in Service Selection[C]//IEEE Ninth International Conference on Services Computing.IEEE,2012:162-169. [8] ZHENG Z,ZHANG Y,LYU M R.Investigating QoS of Real-World Web Services[J].IEEE Transactions on Services Computing,2014,7(1):32-39. [9] ZHENG Z,ZHANG Y,LYU M R.Distributed QoS Evaluation for Real-World Web Services[C]//2010 IEEE International Conference on Web Services (ICWS).IEEE,2010:83-90. [10] YANG Y,TANG S,XU Y,et al.An Approach to QoS-awareService Selection in Dynamic Web Service Composition[C]//Third International Conference on Networking and Services.ICNS,IEEE,2007:19-25. [11] FANJIANG Y Y,SYU Y,MA S P,et al.An Overview and Classification of Service Description Approaches in Automated Ser-vice Composition Research[J].IEEE Transactions on Services Computing,2017,10(2):176-189. [12] VARDHAN A V,BASHA M S S,DHAVACHELVAN P.An Overview of Web Services Composition Approaches[J].International Journal of Computer Applications,2011,29(8):10-15. [13] CONSTANTINESCU I,FALTINGS B,BINDER W.Largescale,type-compatible service composition[C]//IEEE International Conference on Web Services.IEEE Computer Society,2004:5-6. [14] THAKKER D,OSMAN T,AL-DABASS D.Knowledge-Intensive Semantic Web Services Composition[C]//Tenth International Conference on Computer Modeling & Simulation.IEEE,2008:673-678. [15] AIELLO M,KHOURY E E,LAZOVIK A,et al.Optimal QoS-Aware Web Service Composition[C]//Joint IEEE Conference on E-Commerce Technology and IEEE Conference on Enterprise Computing,E-Commerce and E-Services IEEE Computer.2009:491-494. [16] ALRIFAI M,RISSE T,NEJDL W.A hybrid approach for efficient Web service composition with end-to-end QoS constraints[J].ACM Transactions on the Web,2012,6(2):1-31. [17] YAN Y,XU B,GU Z,et al.A QoS-Driven Approach for Semantic Service Composition[C]//IEEE Conference on Commerce & Enterprise Computing.IEEE,2009:523-526. [18] ZHENG Z,ZHANG Y,LYU M R.Investigating QoS of Real-World Web Services[J].IEEE Transactions on Services Computing,2014,7(1):32-39. [19] ZHENG Z,ZHANG Y,LYU M R.Distributed QoS Evaluation for Real-World Web Services[C]//2010 IEEE International Conference on Web Services (ICWS).IEEE,2010:83-90. [20] CONSTANTINESCU I,FALTINGS B,BINDER W.Largescale,type-compatible service composition[C]//IEEE International Conference on Web Services.IEEE Computer Society,2004:506-513. [21] ZHANG P Y,HUANG B,SUN Y M.Service semantic matching mechanism based on service combination[J].Journal of University of Electronic Science and Technology,2008,37(6):917-921. [22] LI S Z,YANG G,YANG S X.A semantic Web service matching algorithm based on ontology concept similarity[J].Microcomputer and Applications,2009,28(15):57-60. [23] ZHANG R L.Research on combination method based on Web service group model[J].Science and Technology Information,2012(30):285-285. [24] WU B,WU J,DENG S,et al.Automatic Composition of Semantic Web Services An Enhanced State Space Search Approach[C]//International Conference on Service Sciences.IEEE Computer Society,2010,13/14:226-230. [25] CORBIN H.Changing maternity service in a changing world[J].Public Health Nursing,1950,42(8):427. [26] KAELBLING L P,LITTMAN M L,MOORE A W.Reinforcement Learning:A Survey[J].Artificial Intelligence Research,1996,4(1):237-285. [27] GAO A,YANG D,TANG S,et al.Web service compositionusing markov decision processes[C]//Processing of the 6th International Conference on Advances in Web-Age Information Management.2005:308-319. [28] OH S C,LEE D,KUMARA S R.Effective Web Service Composition in Diverse and Large-Scale Service Networks[J].IEEE Transactions on Services Computing,2008,1(1):15-32. [29] REN L,WANG W,XU H.A Reinforcement Learning Method for Constraint-Satisfied Services Composition[J].IEEE Transactions on Services Computing,1939,13(5):786-800. [30] WANG H,ZHOU X,ZHOU X,et al.Adaptive Service Composition Based on Reinforcement Learning[C]// ICSOC.LNCS,2010:92-107. [31] WANG H,QIN W,XIN C,et al.Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning[C]//IEEE International Conference on Web Services.2014:447-454. [32] LI J J.Adaptive service combination combining QoS predictionand multi-agent reinforcement learning[D].Nanjiang:Southeast University,2018. [33] WANG H,CHEN X,WU Q,et al.Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition[M] ∥Service-Oriented Computing.2014:154-168. [34] ABOUHEAF M,GUEAIEB W.Reinforcement Learning Solution with Costate Approximation for a Flexible Wing Aircraft[C]//2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).2018:1-6. [35] ARDAGNA D,PERNICI B.Adaptive Service Composition inFlexible Processes[J].IEEE Transactions on Software Engineering,2007,33(6):369-384. [36] LIN S Y,LIN G T,CHAO K M,et al.A Cost-Effective Planning Graph Approach for Large-Scale Web Service Composition[J].Mathematical Problems in Engineering,2012:1-21. [37] HUA Z,YAN F,HUI G.A Web Service Composition Algo-rithm Based on Dependency Graph[J].Lecture Notes in Electrical Engineering,2012,113:1511-1518. [38] FAN G D.Web service combination method based on FAHP and scheme map fusion[J].Computer Science,2020,47(1):270-275. |
[1] | YAO Juan, XING Bin, ZENG Jun, WEN Jun-hao. Survey on Cloud Manufacturing Service Composition [J]. Computer Science, 2021, 48(7): 245-255. |
[2] | WANG Tao, ZHANG Shu-dong, LI An, SHAO Ya-ru, ZHANG Wen-bo. Anomaly Propagation Based Fault Diagnosis for Microservices [J]. Computer Science, 2021, 48(12): 8-16. |
[3] | JIANG Zheng, WANG Jun-li, CAO Rui-hao, YAN Chun-gang. Method of Service Decomposition Based on Microservice Architecture [J]. Computer Science, 2021, 48(12): 17-23. |
[4] | ZHU Han-qing, MA Wu-bin, ZHOU Hao-hao, WU Ya-hui, HUANG Hong-bin. Microservices User Requests Allocation Strategy Based on Improved Multi-objective Evolutionary Algorithms [J]. Computer Science, 2021, 48(10): 343-350. |
[5] | HE Zhi-peng, LI Rui-lin, NIU Bei-fang. Highly Available Elastic Computing Platform for Metagenomics [J]. Computer Science, 2021, 48(1): 326-332. |
[6] | YU Man, HUANG Kai and ZHANG Xiang. Design of ETC System Based on Microservice Architecture [J]. Computer Science, 2020, 47(6A): 643-647. |
[7] | WU Wen-jun, YU Xin, PU Yan-jun, WANG Qun-bo, YU Xiao-ming. Development of Complex Service Software in Microservice Era [J]. Computer Science, 2020, 47(12): 11-17. |
[8] | FAN Guo-dong,ZHU Ming,LI Jing,CUI Xiao-liu. Web Service Composition by Combining FAHP and Graphplan [J]. Computer Science, 2020, 47(1): 270-275. |
[9] | WU Bin-feng. Design of IoT Middleware Based on Microservices Architecture [J]. Computer Science, 2019, 46(6A): 580-584. |
[10] | LIU Ming-cong, WANG Na, ZHOU Ning. Dependency Analysis Based Cloud Composition Service Information Flow Control Mechanism [J]. Computer Science, 2019, 46(4): 189-196. |
[11] | LU Cheng-hua, KOU Ji-song. Multi-attribute Decision Making and Adaptive Genetic Algorithm for Solving QoS Optimization of Web Service Composition [J]. Computer Science, 2019, 46(2): 187-195. |
[12] | LI Wen-hai, PENG Xin, DING DAN, XIANG Qi-lin, GUO Xiao-feng, ZHOU Xiang, ZHAO Wen-yun. Method of Microservice System Debugging Based on Log Visualization Analysis [J]. Computer Science, 2019, 46(11): 145-155. |
[13] | ZHOU Nv-qi, ZHOU Yu. Multi-objective Verification of Web Service Composition Based on Probabilistic Model Checking [J]. Computer Science, 2018, 45(8): 288-294. |
[14] | CHEN Lin, YING Shi and JIA Xiang-yang. SHMA:Monitoring Architecture for Clouds [J]. Computer Science, 2017, 44(1): 7-12. |
[15] | SUN Qiang, MA Bing-xian and SUN Hua-qiang. Study on Petri Net Platform for Web Service Composition Construction and Execution [J]. Computer Science, 2016, 43(11): 117-120. |
|