Data grid is the storage component of a grid environment. Amount of data transferred among nodes can be reduced by submitting the jobs to the nodes that having maximum requested files by scheduling and reducing the access latency by initiating data replication strategies. All techniques of scheduling and replication address some issues with performance metrics. In this paper, different combination of scheduling and replication is studied to find out which one is acquiring better evaluation with attributes like network bandwidth, dynamic behavior of user, latency and cost of replication.