The namespace
Abstract
The namespace root is different from a folder within DFS since the root is the opening point of a namespace. On the other hand, a folder gives structure to the namespace. Also, the folder holds content that can be accessed and used by a user while the namespace root is a logical folder. Replication in DFS is used to synchronize data between servers. However, there are ways of preventing the addition or modification of replicated files. The first way involves confirming that the concealed DfsrPrivate folder is not subjected to any quotas. The second way involves removing all screened files in the replicated folder before enabling the screening feature. Further, all quotas should not be exceeded without permission set by the administrator. The quotas should also be used with caution to avoid constant trials of replication by users. This can lead to performance issues as well as gaps in the version vector.
Keywords: namespace, root, folder, DFS, replication
DFS namespace is described as a role service that allows one to group shared folders placed on separate servers into one or numerous rationally structured namespaces (Elomari, Hassouni & Maizate, 2017). The difference between the namespace root and a folder within the DFS is that the namespace root is the opening point of the namespace while a folder supplements structure and pyramid to the namespace. The folder in the DFS may also be used to provide users with substantive content. The namespace root, which does not hold content as compared to the folder in the DFS, is a logical folder built on a host server. A namespace root can have many root targets which are utilized to provide error tolerance (Sathian et al., 2016). This plays a vital role in improving overall performance and reducing network traffic.
DFS replication is applied to ensure that data is synchronized between servers (Krishna et al., 2018). DFS has its screen tool for records and folders that an admin can apply to prohibit specific files and file types from replication by users. There are various ways of preventing the addition or changing of files in DFS, which involve the implementation of file screens or quotas. To start with, one has to ensure that the hidden DfsrPrivate folder must not be subservient to quotas. This folder acts as a cache for new and modified files to be duplicated from source segments to the target segments. The process of hiding this folder helps in ensuring that users cannot add or change files in the DFS folder.
The second way involves ensuring that screened files are not present in any imitated folder before screening is allowed. The elimination of these files guarantees that users cannot be able to make additions or changes in a DFS folder. Further, to prevent user alterations and additions, the admin has to ensure that no folders may surpass the quota before the said quota is permitted. These quotas are important characteristics that enable admins to limit the usage and storage capability of distributed resources in a server.
Moreover, admins should utilize hard quotas with discretion to prevent users from making changes and additions. Generally, individual members of a replication group can stay within a quota before reproduction but surpass this parameter when files are duplicated. A good illustration of this can be seen in a scenario where a person copies a 20 megabyte (MB) record onto server C which is at that point at the hard limit, and other person copies a 15 MB record onto server D. The two servers will surpass the quota by 5 MB when the subsequent replication transpires.
The scenario, in this case, can prompt replication in DFS to constantly retry reproducing the files. This, in turn, causes gaps in the version vector and potential performance obstacles. The version vector allows the members to determine the occurrence of updates. This involves ascertaining whether the update led another, trailed it, or whether or not the two updates occurred concurrently, which might drive to conflict. Further, performance problems have to be avoided to improve the network performance, decrease overall costs and allow focus on the in-house IT resources so management can concentrate on company growth energies instead of constructing and maintaining the network infrastructure.
References
Elomari, A., Hassouni, L., & Maizate, A. (2017). The Main Characteristics of Five Distributed File Systems Required for Big Data: A Comparatively Study. Advances in Science, Technology and Engineering Systems Journal, 2(4), 78-91.
Krishna, T. L. S. R., Priyanka, J., Teja, N. N., Sultana, S. M., & Jabber, B. (2018). An Efficient Data Replication Scheme for Hadoop Distributed File System. International Journal of Engineering & Technology, 7(2.32), 167-169.
Sathian, D., Ilamathi, R., Praveen Kumar, R., Amudhavel, J., & Dhavachelvan, P. (2016). A comprehensive Survey on Taxonomy and Challenges of Distributed File Systems. Indian Journal of Science and Technology, 9, 11.