Data Storage Server
Backups
One of the most critical issues of data storage server is providing backups. Backups are necessary in case of media failure, user mistakes or disaster recovery. Backups are either cold or hot depending upon situations. During cold backups other system is down. But in business when 7/24 services are required one cannot shut down the system. In such cases hot backups are done. Allowing other services by data storage server as well as backup. Hot backups are complicated and critical. Therefore the date storage servers with a quite high performance are required. Moreover backups can be full or incremental. Full backups relatively take great deal of time.Archives
Another issue for data storage server is archiving. The place from where data is to be accessed. The frequently accessed files must be stored in the fast memories. Less used files are stored in slow memories. Here the issues of costs come, as fast memories are expensive while slow are cheaper. This results in the hierarchal storage management (HSM). HSM allows the data to be stored according to the usage.Data Availability
In large businesses the data is accessed and modified 24 hours a day. Here the data availability becomes a critical issue. In such a case data storage server must provide data as quickly as possible.Data Base Management
Data storage server also backups and archives the database management systems. Then server devolves the DBMSs to data base administrators.Client-Server Issues
Another issue that Server must cater for is client's feasibility. Client in the network not only interacts with other PCs but with all the servers. Carelessness or lack of restoring or backup protocols can destroy the data. This not only wastes user's time and gives him/her unease to work.- In other issues related to transmission of data by Data storage server, are:
- Compress the data before transmission and remove the unnecessary information.
- Avoid transmitting one thing over and over again. Thus only transmit changed or modified data.
- Avoid redundancy that is do not store same information over and over again.
