2018 IEEE International Conference on Web Services (ICWS)最新文献_第7页

Schema Slicing Methods to Reduce Development Costs of WSDL-Based Web Services 减少基于wsdl的Web服务开发成本的模式切片方法

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00049

Wei Zang, R. Engelen

引用次数: 0

Discovering Spatio-Temporal Relationships among IoT Services 发现物联网服务之间的时空关系

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00058

Bing Huang, A. Bouguettaya, A. Neiat

引用次数: 9

Log2Sim: Automating What-If Modeling and Prediction for Bandwidth Management of Cloud Hosted Web Services Log2Sim:云托管Web服务带宽管理的自动化假设建模和预测

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00020

Jianpeng Hu, Linpeng Huang, Tianqi Sun, Yuchang Xu, Xiaolong Gong

{"title":"Log2Sim: Automating What-If Modeling and Prediction for Bandwidth Management of Cloud Hosted Web Services","authors":"Jianpeng Hu, Linpeng Huang, Tianqi Sun, Yuchang Xu, Xiaolong Gong","doi":"10.1109/ICWS.2018.00020","DOIUrl":"https://doi.org/10.1109/ICWS.2018.00020","url":null,"abstract":"For resource management purpose, administrators usually need to perform what-if analyses to predict the impact of any workload growths or planned changes on the performance of web services. A what-if analysis requires not only the design of system models, but also the workload models that represent the real-world user behavior. Existing methods of workload characterization based on probabilistic graphical models are quite complex if there are many web services provided by a system. Meanwhile, bandwidth resource is usually not taken into account in many related works, though it is a relatively expensive resource in cloud markets. In fact, it's very challenging to predict the network throughput of modern web services due to the factors of client-side caching, miscellaneous service responses and complex network transportation. In this paper we propose a methodology of what-if analysis named Log2Sim for the bandwidth management of web systems. We use a lightweight workload model to describe user behavior, an automated mining approach to obtain characteristics of workloads and responses from massive web logs, and traffic-aware simulations to predict the impact on the network throughput and the response time within changing contexts of user behavior. We also choose a real-life web system as use case to evaluate the effectiveness, accuracy and stability of this methodology.","PeriodicalId":231056,"journal":{"name":"2018 IEEE International Conference on Web Services (ICWS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128826072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing 面向服务计算中可重复研究的数据集

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-06-09 DOI: 10.1109/ICWS.2018.00023

T. Bhagya, Jens Dietrich, H. Guesgen, Steven Versteeg

引用次数: 2