Development of Intelligent Network Storage System With Adaptive Decision-Making
An enormous amount of digitization of content has led to extreme demands on storage systems. Multitier storage systems built with parallel distributed file-system enhance their scalability and I/O performance, while achieving cost-effectiveness in handling large data. However, these storage systems are not flexible enough to adapt to the complexity and dynamic environment of data. Designing a storage system to be more intelligent is a proven technique to overcome the challenges of managing complex data in a dynamic environment and hence, this paper proposes an Intelligent Network Storage System (INSS) with adaptive decision-making capability. An intelligent agent is introduced for autotiering and it can dynamically decide which storage tier data can be relocated based on their recent access patterns.