Adaptive Monitoring Solution Satisfy User Profiles for Targeted Online Data Delivery

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Provided by: International Journal for Development of Computer Science & Technology (IJDCST)
Topic: Big Data
Format: PDF
The authors present an alternative and more flexible approach that maximizes user utility by satisfying all users. It does this while minimizing the usage of system resources. They discuss the benefits of this latter approach and develop an adaptive monitoring solution Satisfy User Profiles (SUPs). Through formal analysis, they identify sufficient optimality conditions for SUP. Using real (RSS feeds) and synthetic traces, they empirically analyze the behavior of SUP under varying conditions. Their experiments show that they can achieve a high degree of satisfaction of user utility when the estimations of SUP closely estimate the real event stream, and has the potential to save a significant amount of system resources.
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