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Exemplary embodiments of the present disclosure are directed towards a method for parallel activity scheduling for large data sets. The method comprising receiving the input variables from a respected project by a project scheduling problem library (PSPLIB) data module, finding the relevant, relational project data for processing efficiently by a multi project relationship module to minimize the search space due to the correlation between the project activities by a probability.

Produktbeschreibung
Exemplary embodiments of the present disclosure are directed towards a method for parallel activity scheduling for large data sets. The method comprising receiving the input variables from a respected project by a project scheduling problem library (PSPLIB) data module, finding the relevant, relational project data for processing efficiently by a multi project relationship module to minimize the search space due to the correlation between the project activities by a probability.
Autorenporträt
Dr Vidya Sagar Ponnam joined as Associate Professor the department of Information technology. He had completed his Ph.D in Sri Krishnadevaraya University, Anantapur. He has a total of 14 years experience, including 8 years of teaching experience and 6 years in the field of software development in creating solutions for web based applications.