# Evaluation of a New-Concept Secure File Server Solution
## 2 Background
### Review of File System-Related Security Solutions and Research
Furthermore, taking into account the structure of HDFS write operations, a mechanism was developed to \begin{table}
\begin{tabular}{p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt}} \hline \hline \multicolumn{4}{c}{**Solution/Working Environ.**} & \multicolumn{4}{c}{**Capabilities/Services of Proposed Solutions**} \\ \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} \\ \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} \\ \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} \\ \hline [PERSON] & FSR & yes & no & no & no & high & low \\ et al. (2017) & VDE & yes & yes & no & no & no & low & high \\ \hline [PERSON] & Automated & no & yes & no & no & medium & config. depend. \\ et al. (2018) & approach & no & yes & yes & medium & no data \\ \hline Van Oorschot, P.C. & Rootkit & resistant & no & yes & yes & medium & no data \\ et al. (2019) & mechanism & & & & & & \\ \hline [PERSON] et al. (2010) & RRNS—AR-RRNA & no & yes & yes (file & yes & medium & high \\ \hline [PERSON] et al. (2011) & AdvFS —CMADD & no & yes & yes & error detection & medium & tolerable \\ et al. (2011) & solution & & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Summary of proposed major file system protection methods in the literature. reduce the total bandwidth consumption of HDFS write operations per link by replacing write pipelining with write multicast. To evaluate the caching potential within the network, a simulator was developed to replay real pathways over a fat tree network, simulating the caching architecture used in the Named Data Networking (NDN) Information Centered Networking (ICN) architecture. Their results suggested that caching within an ICN-style network can provide significant benefits for HDFS-supported big data clusters, justifying future efforts to apply ICN architectures in cluster environments. [PERSON] et al. [13] addressed the issue of limited resources in their research on the management of large amounts of data and large data sizes. They found that edge computing is a promising paradigm for managing and processing the huge amount of data generated by IoT devices. Data and computation are brought closer to the client, enabling the effective use of latency and bandwidth-sensitive applications. However, the distributed and heterogeneous nature of the perimeter and its limited resource capabilities present a number of challenges when selecting or implementing a suitable perimeter storage system. A wide range of storage systems have been evaluated, so their results showed significant variance. Performance evaluation was conducted using resource utilization and Quality of Service (QoS) metrics. Each storage system was deployed on a Raspberry Pi, which served as a perimeter device and was able to optimize overall efficiency with minimal power consumption and at a minimal cost. Their experimental results showed that MinIO has the best overall performance in terms of query response times, RAM consumption, disk I/O time, and transaction rate [13]. It can be seen that the main thrust of the research involves improvements in both the performance of data movement over the network and the security of storage, both at the operating system kernel level and at the file structure level. Sizing file servers and optimizing their operational parameters in heterogeneous network environments is a major challenge. Often, new methods and new technologies are the way to go, but sometimes, the desired results can be achieved by reorganizing already well-known technologies.