ERPASD: A novel algorithm for integrated distributed reliable systems using data mining mechanisms

In this paper, a novel algorithm for integrated distributed reliable systems using data mining mechanisms has been proposed for utilizing and optimizing system resources considering contention levels and also customers' satisfaction level. This novel algorithm has increased the security and performance levels comparing with other proposed methods. Considering ERPASD algorithm, we have proposed a new technique in distributed database that decreases the total cost of integrated distributed system and also decreases the search time for replicated data using Apriori ERPSD. Thus this novel algorithm implemented in integrated distributed systems eliminates and decreases the replicated patterns in database and optimizes the ERP system and decreases the response time and waiting time for each user comparing ERP methodology. Comparing ERPASD with ERPSD, the novel algorithm is more efficient, and more dependable. Finally ERPASD has significantly decreased the service time for traversing records with huge data in databases and shows more improvement comparing prior algorithms.