物联网智能物流系统容错服务组合建模与分析
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摘要
针对物流领域的服务组合存在容错性差和服务不可靠等问题,提出一种基于π网的物联网智能物流系统物流服务容错组合模型。首先,在简单介绍物联网智能物流系统后,给出了物联网智能物流系统的容错服务组合框架;然后,基于π网建立了物联网智能物流系统物流服务容错组合模型,并对模型进行了容错正确性和拟合性分析;最后,对提出的模型进行了服务可靠性、服务故障容错可靠性实验,并与Petri网、QoS动态预测算法、模糊卡诺模型和改进粒子群优化的服务组合方法针对服务组合的执行时间、用户满意度、可靠性和最优度进行对比实验。实验结果表明,所提模型具有更高的服务可靠性和服务故障容错可靠性,同时在服务组合的执行时间、用户满意度、可靠性和最优度等方面也具有一定的优越性。
In order to solve the problem that the service composition in the logistics field has poor tolerance and unreliable service,a model of logistics service fault-tolerant composition for intelligent logistics system of Internet of Things(IoT)based onπ-net was built.Firstly,after a brief introdution of IoT intelligent logistics system,a fault-tolerant service composition framework for the system was provided.Then,a model of logistics service fault-tolerant composition for the system based onπ-net was built,and the correctness of fault tolerance and fitting degree of the model were analyzed.Finally,the service reliability and the fault-tolerant reliability of the model were tested,and the comparison with Petri-net,QoS(Quality of Service)dynamic prediction,fuzzy Kano model and modified particle swarm optimization methods in the service composition execution time,user satisfaction,reliability and optimal degree were carried out.The results show that the proposed model has high service reliability and fault-tolerant reliability,and has certain advantages in terms of service composition execution time,user satisfaction,reliability and optimal degree.
In order to solve the problem that the service composition in the logistics field has poor tolerance and unreliable service,a model of logistics service fault-tolerant composition for intelligent logistics system of Internet of Things(IoT)based onπ-net was built.Firstly,after a brief introdution of IoT intelligent logistics system,a fault-tolerant service composition framework for the system was provided.Then,a model of logistics service fault-tolerant composition for the system based onπ-net was built,and the correctness of fault tolerance and fitting degree of the model were analyzed.Finally,the service reliability and the fault-tolerant reliability of the model were tested,and the comparison with Petri-net,QoS(Quality of Service)dynamic prediction,fuzzy Kano model and modified particle swarm optimization methods in the service composition execution time,user satisfaction,reliability and optimal degree were carried out.The results show that the proposed model has high service reliability and fault-tolerant reliability,and has certain advantages in terms of service composition execution time,user satisfaction,reliability and optimal degree.
引文
[1]KIM J,KIM Y,CHANG H.A study on performance evaluation of intelligent collaboration system[J].Multimedia Tools and Application,2015,74(10):305-3316.
[2]ZHENG Z,LYU M R T,WANG H.Service fault tolerance for highly reliable service-oriented systems:an overview[J].Science China Information Sciences,2015,58(5):1-12.
[3]张俊娜,王尚广,孙其博,等.SLA感知的事务型组合服务容错方法[J].软件学报,2018,29(12):3614-3634.(ZHANG J N,WANG S G,SUN Q B,et al.SLA-aware fault-tolerant approach for transactional composite service[J].Journal of Software,2018,29(12):3614-3634.)
[4]ELGEDAWY I,KHURSHID S,MASOOD R,et al.CRESCENT+:a self-protecting framework for reliable composite Web service delivery[J].Iran Journal of Computer Science,2018,1(2):65-87.
[5]SHU Y,WU Z,LIU H,et al.A simulation-based reliability analysis approach of the fault-tolerant Web services[C]//Proceedings of the 2016 7th International Conference on Intelligent Systems,Modelling and Simulation.Piscataway,NJ:IEEE,2017:125-129.
[6]VIZCARRONDO J,AGUILAR J,EXPOSITO E,et al.ARMISCOM:self-healing service composition[J].Service Oriented Computing&Applications,2017,11(3):345-365.
[7]王建峰,杨荣.物联网环境下智能物流服务组合研究[J].电子技术应用,2016,42(1):79-81.(WANG J F,YANG R.Service composition study for intelligent logistics services in IOT[J].Application of Electronic Technique,2016,42(1):79-81.)
[8]KHOLY M E,FATATRY A E.FRWSC:a framework for robust Web service composition[J].Service Oriented Computing and Applications,2016,10:413-435.
[9]PAPERT M,PFLAUM A.Development of an ecosystem model for the realization of Internet of Things(Io T)services in supply chain management[J].Electronic Markets,2017,27(2):175-189.
[10]CHEN J,ZHAO W.Logistics automation management based on the Internet of things[J/OL].Cluster Computing,2018[2018-02-23].http://dx.doi.org/10.1007/s10586-018-2041-2.
[11]ZHU D.IOT and big data based cooperative logistical delivery scheduling method and cloud robot system[J].Future Generation Computer Systems,2018,86:709-715.
[12]YANG R,LI B,HU Y.An experimental study for intelligent logistics:a middleware approach[J].Chinese Journal of Electronics,2016,25(3):561-569.
[13]BUJARI A,FURINI M,MANDREOLI F,et al.Standards,security and business models:key challenges for the Io T scenario[J].Mobile Networks and Applications,2018,23(1):147-154.
[14]NASCIMENTO A S,RUBIRA C M,BURROWS R,et al.Designing fault-tolerant SOA based on design diversity[J].Journal of Software Engineering Research and Development,2014,2:13.
[15]RODRIGUEZ-MIER P,PEDRINACI C,LAMA M,et al.An integrated semantic Web service discovery and composition framework[J].IEEE Transactions on Services Computing,2016,9(4):537-550.
[16]YU Y,CHEN J,LIN S,et al.A dynamic Qo S-aware logistics service composition algorithm based on social network[J].IEEETransactions on Emerging Topics in Computing,2014,2(4):399-410.
[17]曹木亮,吴智铭.π-网的强互模拟等价[J].计算机学报,2005,28(1):1-8.(CAO M L,WU Z M.The strong bisimilarity on theπ-nets[J].Chinese Journal of Computers,2005,28(1):1-8.)
[18]CARDINALE Y,HADDAD J E,MANOUVRIER M,et al.CPN-TWS:a coloured Petri-net approach for transactional-QoS driven Web service composition[J].International Journal of Web&Grid Services,2011,7(1):91-115.
[19]LANESEA I,MEZZINAB C A,STEFANI J-B.Reversibility in the higher-orderπ-calculus[J].Theoretical Computer Science,2016,625:25-84.
[20]FENG L-B,OBAYASHI M,KUREMOTO T,et al.Qo S optimization for web services composition based on reinforcement learning[J].International Journal of Innovative Computing Information&Control,2013,9(6):2361-2376.
[21]XIANG D,XIE N,MA B,et al.The executable invocation policy of Web services composition with Petri net[J].Data Science Journal,2015,14(5):1-15.
[22]LIU Z Z,JIA Z P,XUE X,et al.Reliable Web service composition based on Qo S dynamic prediction[J].Soft Computing,2015,19(5):1409-1425.
[23]MENG Q,JIANG X,BIAN L.A decision-making method for improving logistics services quality by integrating fuzzy Kano model with importance-performance analysis[J].Journal of Service Science&Management,2015,8(3):322-331.
[24]温涛,盛国军,郭权,等.基于改进粒子群算法的Web服务组合[J].计算机学报,2013,36(5):1031-1046.(WEN T,SHENGG J,GUO Q,et al.Web service composition based on modified particle swarm optimization[J].Chinese Journal of Computers,2013,36(5):1031-1046.)
[2]ZHENG Z,LYU M R T,WANG H.Service fault tolerance for highly reliable service-oriented systems:an overview[J].Science China Information Sciences,2015,58(5):1-12.
[3]张俊娜,王尚广,孙其博,等.SLA感知的事务型组合服务容错方法[J].软件学报,2018,29(12):3614-3634.(ZHANG J N,WANG S G,SUN Q B,et al.SLA-aware fault-tolerant approach for transactional composite service[J].Journal of Software,2018,29(12):3614-3634.)
[4]ELGEDAWY I,KHURSHID S,MASOOD R,et al.CRESCENT+:a self-protecting framework for reliable composite Web service delivery[J].Iran Journal of Computer Science,2018,1(2):65-87.
[5]SHU Y,WU Z,LIU H,et al.A simulation-based reliability analysis approach of the fault-tolerant Web services[C]//Proceedings of the 2016 7th International Conference on Intelligent Systems,Modelling and Simulation.Piscataway,NJ:IEEE,2017:125-129.
[6]VIZCARRONDO J,AGUILAR J,EXPOSITO E,et al.ARMISCOM:self-healing service composition[J].Service Oriented Computing&Applications,2017,11(3):345-365.
[7]王建峰,杨荣.物联网环境下智能物流服务组合研究[J].电子技术应用,2016,42(1):79-81.(WANG J F,YANG R.Service composition study for intelligent logistics services in IOT[J].Application of Electronic Technique,2016,42(1):79-81.)
[8]KHOLY M E,FATATRY A E.FRWSC:a framework for robust Web service composition[J].Service Oriented Computing and Applications,2016,10:413-435.
[9]PAPERT M,PFLAUM A.Development of an ecosystem model for the realization of Internet of Things(Io T)services in supply chain management[J].Electronic Markets,2017,27(2):175-189.
[10]CHEN J,ZHAO W.Logistics automation management based on the Internet of things[J/OL].Cluster Computing,2018[2018-02-23].http://dx.doi.org/10.1007/s10586-018-2041-2.
[11]ZHU D.IOT and big data based cooperative logistical delivery scheduling method and cloud robot system[J].Future Generation Computer Systems,2018,86:709-715.
[12]YANG R,LI B,HU Y.An experimental study for intelligent logistics:a middleware approach[J].Chinese Journal of Electronics,2016,25(3):561-569.
[13]BUJARI A,FURINI M,MANDREOLI F,et al.Standards,security and business models:key challenges for the Io T scenario[J].Mobile Networks and Applications,2018,23(1):147-154.
[14]NASCIMENTO A S,RUBIRA C M,BURROWS R,et al.Designing fault-tolerant SOA based on design diversity[J].Journal of Software Engineering Research and Development,2014,2:13.
[15]RODRIGUEZ-MIER P,PEDRINACI C,LAMA M,et al.An integrated semantic Web service discovery and composition framework[J].IEEE Transactions on Services Computing,2016,9(4):537-550.
[16]YU Y,CHEN J,LIN S,et al.A dynamic Qo S-aware logistics service composition algorithm based on social network[J].IEEETransactions on Emerging Topics in Computing,2014,2(4):399-410.
[17]曹木亮,吴智铭.π-网的强互模拟等价[J].计算机学报,2005,28(1):1-8.(CAO M L,WU Z M.The strong bisimilarity on theπ-nets[J].Chinese Journal of Computers,2005,28(1):1-8.)
[18]CARDINALE Y,HADDAD J E,MANOUVRIER M,et al.CPN-TWS:a coloured Petri-net approach for transactional-QoS driven Web service composition[J].International Journal of Web&Grid Services,2011,7(1):91-115.
[19]LANESEA I,MEZZINAB C A,STEFANI J-B.Reversibility in the higher-orderπ-calculus[J].Theoretical Computer Science,2016,625:25-84.
[20]FENG L-B,OBAYASHI M,KUREMOTO T,et al.Qo S optimization for web services composition based on reinforcement learning[J].International Journal of Innovative Computing Information&Control,2013,9(6):2361-2376.
[21]XIANG D,XIE N,MA B,et al.The executable invocation policy of Web services composition with Petri net[J].Data Science Journal,2015,14(5):1-15.
[22]LIU Z Z,JIA Z P,XUE X,et al.Reliable Web service composition based on Qo S dynamic prediction[J].Soft Computing,2015,19(5):1409-1425.
[23]MENG Q,JIANG X,BIAN L.A decision-making method for improving logistics services quality by integrating fuzzy Kano model with importance-performance analysis[J].Journal of Service Science&Management,2015,8(3):322-331.
[24]温涛,盛国军,郭权,等.基于改进粒子群算法的Web服务组合[J].计算机学报,2013,36(5):1031-1046.(WEN T,SHENGG J,GUO Q,et al.Web service composition based on modified particle swarm optimization[J].Chinese Journal of Computers,2013,36(5):1031-1046.)