面向云计算环境中多租户应用的租户个性化服务需求,从多租户应用日志记录挖掘出租户兴趣浏览路径受到关注。针对传统的以浏览频度为主体的网络拓扑图研究问题,为了更好地找出租户在云平台网站上的兴趣网页,挖掘租户的兴趣浏览路径,综合...面向云计算环境中多租户应用的租户个性化服务需求,从多租户应用日志记录挖掘出租户兴趣浏览路径受到关注。针对传统的以浏览频度为主体的网络拓扑图研究问题,为了更好地找出租户在云平台网站上的兴趣网页,挖掘租户的兴趣浏览路径,综合租户对网页的浏览时长、接收字节数和浏览频度等多个要素定义租户兴趣度,构造租户执行图,纠正路径交叉状况以消除租户执行图中存在的多余路径,对循环路径中的对等节点进行整合以消除循环嵌套,给出了一种基于分层排队网(layered queue network,LQN)模型的租户兴趣浏览路径挖掘方法,在此基础上,借助广度优先遍历(breadth first search,BFS)算法进行挖掘。实验证明,改造后的LQN模型在租户兴趣浏览路径挖掘方面的效率有所提高。展开更多
One benefit of SOA is from service composition which combines existing services to form a new valued-added service in the form of business process.This also creates the need to ensure that the performance of those com...One benefit of SOA is from service composition which combines existing services to form a new valued-added service in the form of business process.This also creates the need to ensure that the performance of those composite services meets the business requirements.This paper proposes a method for evaluating the performance of composite services.We automatically transform a composite service modeled by BPEL,into a performance model based on Layered Queuing Networks(LQN)and then leverage existing LQN solvers to predict their performance.The inputs to our transformation algorithm are an XML file which contains a service composition model complying with the BPEL4WS specification,a related performance profile and a service topology.The output of the model is the corresponding LQN model which can be directly analyzed using existing LQN solvers.展开更多
文摘面向云计算环境中多租户应用的租户个性化服务需求,从多租户应用日志记录挖掘出租户兴趣浏览路径受到关注。针对传统的以浏览频度为主体的网络拓扑图研究问题,为了更好地找出租户在云平台网站上的兴趣网页,挖掘租户的兴趣浏览路径,综合租户对网页的浏览时长、接收字节数和浏览频度等多个要素定义租户兴趣度,构造租户执行图,纠正路径交叉状况以消除租户执行图中存在的多余路径,对循环路径中的对等节点进行整合以消除循环嵌套,给出了一种基于分层排队网(layered queue network,LQN)模型的租户兴趣浏览路径挖掘方法,在此基础上,借助广度优先遍历(breadth first search,BFS)算法进行挖掘。实验证明,改造后的LQN模型在租户兴趣浏览路径挖掘方面的效率有所提高。
文摘One benefit of SOA is from service composition which combines existing services to form a new valued-added service in the form of business process.This also creates the need to ensure that the performance of those composite services meets the business requirements.This paper proposes a method for evaluating the performance of composite services.We automatically transform a composite service modeled by BPEL,into a performance model based on Layered Queuing Networks(LQN)and then leverage existing LQN solvers to predict their performance.The inputs to our transformation algorithm are an XML file which contains a service composition model complying with the BPEL4WS specification,a related performance profile and a service topology.The output of the model is the corresponding LQN model which can be directly analyzed using existing LQN solvers.
