## 7 Conclusions  
In this study, we developed fast, secure, serverless, robust, survivable, easy to manage, scalable distributed file system especially for small and medium size big data sets. The designed smart distributed file system (KUSDFS) was developed for Kurkkale University. The system is an independent system platform opposite of most distributed systems. It uses the TCP/IP protocol. Server nodes, head nodes, or name nodes are not used. The system is serverless. In this way, the survivability of the system is ensured. When a data node does not work properly in the system, other nodes can execute the requests. An unlimited number of data nodes can be added easily to the system when needed only by installing windows service routine to the node. It is the superiority of the system compared with other systems.  
System security has an acceptable security level as other distributed file systems. This is provided in two ways. The first is to check the IPs of the client machine that are served from the data node and the second is to encrypt the data that the application software sends to the data nodes.  
Because a data node can serve more than one client in our system, it has a better load balance performance than that of other distributed file systems. In the same way, a client can upload data to more than one data node.  
In the designed system, a disc consists of data sets called the 'bunch' and 'disc header'. The disc header holds the number of bunches found in that disc and whether the bunch is empty with the bitmap structure. A bunch holds the next bunch, the replicas of the data, the IP of the client application that loads the data, and the data itself. Using the designed file system, every bunch can point to the next bunch which is a member of the file chain.  
The replication operation uses the operating system file operations system calls (in Windows called API). Data nodes send the files uploaded to itself asynchronously to the replica nodes.  
The designed distributed file system is compared with other filing systems. According to of our analysis, our system performed 97% better than the NoSQL system, 80% better than the RDBMS, and 74% better than the operating system.  
In the future, healthcare institutions in Kinkkale province can be integrated to KUSDFS. At this point, the cost, workload, and technology needs of the institutions will be minimized. Instead of establishing their own archiving systems, it is possible to access and integrate with the system by only installing library files. The developed system has a fixed bunch size of 10 MB which is specialized for healthcare. To embrace dissimilar applications that have different file size and types, a dynamic bunch size might be developed in the future work. Grid computing functionalities could also be implemented to make the system more powerful and more efficient in terms of computational speed. This is an important issue for future research. In addition, GPUs--which have been more widely used in recent years--can be included in the system to achieve a more specific distributed computing platform and to accelerate grid performance. However, further work with more focus on this topic is required to establish this property.  
**Author Contributions:** [PERSON] conceived and structured the system. [PERSON] performed literature search, helped in experiments and analyzed the test data. Both, authors implemented the system, wrote the paper, read and approved the submitted version of the manuscript.  
**Acknowledgments:** This work has been partly supported by the Kinkkale University Department of Scientific Research Projects (2016/107-2017/084).  
**Conflicts of Interest:** The authors declare that there is no conflict of interest.