Performance Predictive Model Of Esb As Service Integration Grows The Case Of Ethio Telecom

Service Oriented Architecture (SOA) is an architectural pattern that is based on the concept of arnservice and addresses, the requirements of loosely coupled, and protocol independent distributedrncomputing. SOA used enterprise Service Bus (ESB) to realize its principles. ESB is an architecturernto overcome the limitation of traditional architectures. One of its main functions is messagerntransformation, which is the conversion process of data structure among heterogeneous systemsrnduring integration. The second function is routing functionality between runtime services whichrnmay introduce performance overheads. Ethiotelecom has implemented ESB to integrate businesscriticalrnsystemsrn,rnduerntornadditionalrnservicernintegrations,rnESB’srnperformancernproblemrnbecomesrnarnrnchallengerntornmeetrnservicernlevelrnagreements.rnThernmainrnobjectivernofrnthisrnthesisrnisrntorndeveloprnandrnrnimplementrnarnperformancernpredictivernmodel,rnwhichrncanrnbernusedrntornevaluaternthernperformancernofrnrnthernrnESBrnsystem.rnrnrnrnQueueingrnPetrirnnetsrnarernrnpowerfulrnformalismrnthatrncanrnbernexploitedrnforrnmodelingrndistributedrnsystemsrnrnandrnrnanalyzing their performance and scalability. By combining the modeling power andrnexpressiveness of queueing networks and stochastic Petri nets, queueing Petri nets provide arnnumber of advantages. The model can be useful for service quality and performance managementrnprocess during design and service operation times. The Jmeter measured performance data is usedrnfor comparison and validity of the Queuing petri net network model of the case study system.rnrnBoth in the experiment and the model similar performance impacts were observed for variety ofrnworkload inputs. Clearly one can see the level of the impact for each performance metrics asrnintegration grows. The validation result indicates, the practicality of the model to do performancernprediction and capacity estimation during system design and service operation of integratedrnapplications in a heterogeneous environment. Moreover, unlike the existing system in which therncase study is based upon, the model solution is further applicable for new capacity demands inrnsimilar system planning works.

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