This paper proposes a new Calking Dynamic Replication Distribution Algorithm(CDRDA) considering the communication cost among storage resource brokers and the characteristic of data accessing.
Based on how frequently it sees certain features, the program will assign values to those features' diagnostic significance, generating an algorithm for diagnosing future patients.