Parameter Sweeping Programming Model in Aneka on Data Mining Applications

Data mining applications and techniques are used in many areas as a required knowledge discovery from large data sets. Cloud computing is one of the prevailing models based on IP architecture. Cloud computing is nothing but the delivery of the computing services over the internet to improve the business of many organizations. Cloud systems which can be effectively handle parallel mining since they provide scalable storage and processing services, software platforms for developing and running data mining applications. In this paper, we present a data mining application in .NET frame work that supports the execution of parameter sweeping programming model on cloud. Parameter sweeping is an important task in the domains of the system modeling and optimization. The frame work has been implemented using Aneka platform. Parameter sweeping applications can be highly computing demanding, since the number of single tasks to be executed increases with the number of swept parameters and the range of their values. In this paper the parameter sweeping model is implemented on a data set by using the design explorer user interface. KeywordsData mining, Cloud computing, Parameter sweeping; Aneka