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  • 标题:Web Services Monitoring, Analysis for Future Usage and Failure Prediction
  • 本地全文:下载
  • 作者:Syed Kashif Ali ; Sarmad Sadik
  • 期刊名称:International Journal of Computer Science and Network Solutions
  • 印刷版ISSN:2345-3397
  • 出版年度:2015
  • 卷号:3
  • 期号:2
  • 页码:36-43
  • 出版社:International Journal of Computer Science and Network Solutions
  • 摘要:Wide use of web services has dominated the software industry. Providing web services to its consumersaccording to Service Level Agreement (SLA) is complex and difficult task. Failure to provide web servicesagainst agreed quality of service (QoS) parameters i.e., unavailability of web services and slowresponse time will cause increase in penalties. This may lead to unsatisfied consumers that can be devastatingfor business goals and revenue of service providers. In order to ensure the satisfaction of consumersand avoid any violations of SLA, monitoring is required on service provider side. However,monitoring against SLA is not enough - service providers must be able to analyze the past and currentusage in order to predict future challenges. User’s behavior and usage analysis is used in many businessorganizations for forecasting and decision making in different departments such as Marketing,Sales & Distribution, and Inventory Management. The monitoring data of web services can provide vitalinformation to the service providers. On the basis of usage analysis the service provider can assesscurrent and predict future challenges and can take certain risk measures to avoid violations of SLA.This research aims to provide a monitoring framework which empowers the service providers to monitorweb services usage and failures. And analyze the monitoring data to predict future usage and failurepatterns
  • 关键词:Web;Serive; Prediction;SOA;QoS.
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