With the increase in the number of mobile devices and the emergence of a plethora of cloud services, mobile cloud computing users require reliable and continuous access to data from cloud service providers. To support such continuous data access, we propose a location prediction method that provides a mechanism for identifying potential high user density locations. A partial data replication algorithm is used to exclusively replicate user requested data within third party cloud servers in advance. The proposed method aims to minimize the data access time, which is particularly subject to the location of the cloud server and the network bandwidth. Simulation experiments are performed to demonstrate the effectiveness of the proposed system for data access and replication.

A new approach to software reliability estimation is presented that combines operational testing with stratified sampling in order to reduce the number of program executions that must be checked manually for conformance to requirements. Automatic cluster analysis is applied to execution profiles in order to stratify captured operational executions. Experimental results are reported that suggest this approach can significantly reduce the cost of estimating reliability.