As is known in the art, computer systems are constantly improving in terms of speed, reliability, and processing capability. As is known in the art, computer systems which process and store large amounts of data typically include a one or more processors in communication with a shared data storage system in which the data is stored. The data storage system may include one or more storage devices, usually of a fairly robust nature and useful for storage spanning various temporal requirements, e.g., disk drives. The one or more processors perform their respective operations using the storage system. Mass storage systems (MSS) typically include an array of a plurality of disks with on-board intelligent and communications electronics and software for making the data on the disks available.
To leverage the value of MSS, these are typically networked in some fashion, Popular implementations of networks for MSS include network attached storage (NAS) and storage area networks (SAN). In NAS, MSS is typically accessed over known TCP/IP lines such as Ethernet using industry standard file sharing protocols like NFS, HTTP, and Windows Networking. In SAN, the MSS is typically directly accessed over Fibre Channel switching fabric using encapsulated SCSI protocols. Each network type has its advantages and disadvantages, but SANs are particularly noted for providing the advantage of being reliable, maintainable, and being a scalable infrastructure but their complexity and disparate nature makes them difficult to centrally manage. Thus, a problem encountered in the implementation of SANs s that the dispersion of resources tends to create an unwieldy and complicated data storage environment. Reducing the complexity by allowing unified management of the environment instead of treating as a disparate entity would be advancement in the data storage computer-related arts. While it is an advantage to distribute intelligence over various networks, it should be balanced against the need for unified and centralized management that can grow or scale proportionally with the growth of what is being managed.
As is also known in the art, storage networks are typically provisioned manually. For example, a user requests storage space where the request can include amount and type of storage. A database administrator submits a storage request to a storage administrator for approval. The storage administrator approves or disapproves the request based upon various criteria. It will be appreciated that this process is time consuming and error prone. In addition, the provisioning is static leading to wasted space, less than optimal use of storage resources, and limited scalability.