Autonomic Model for Service-Aware Storage

The administration of resources and application scheduling in a large-scale distributed storage environment is a formidable task nowadays, especially in dynamic changing scenario both in storage resources and application requirements. In order to make a difference in application oriented storage service, this paper shows a new autonomic approach to match individual applications to most appropriate storage systems and storage services based on their particular characteristic matrix, such as capacity, performance, availability, dependability, recoverability, user requirements, scalability, and value to the organization etc.