While using consumer electronic devices consumers continue to produce and spend a large amount of data. To store consumer’s data, a huge volume of storage is needed. A cloud-of-cloud which is a virtual cloud storage service using heterogeneous public cloud storage services can be a solution. To support concurrent accesses for multiple consumers and devices, a mutual exclusion in a cloud-of-cloud is necessary. From the base paper, they proposed a mutual exclusion method for concurrent access in a cloud-of-clouds. The proposed method includes an atomic operation for cloud-of-cloud a deadlock recovery and a race condition control. To evaluate the proposed method, we modified two modules of saving me which is a cloud-of-clouds storage service system with experiments on the implemented system, we found out to the optimal number of files in a file table and the deadline time for deadlock avoidance. The proposed method does need not only any server system but also any communication between clients. We confirm that the proposed method provides mutual exclusion features to deadlock avoidance.