Netapp, Inc.

Thirumale Niranjan

Kaladhar Voruganti

Craig Fulmer Everhart

Siddhartha Nandi

Sai Rama Krishna Susarla

Sudhir Srinivasan

Garth Richard Goodson

Shankar Pasupathy

Ravi Kumar Kavuri

Jim Voll

Example embodiments provide various techniques for modeling network storage environments. To model a particular storage environment, component models that are associated with the components of the storage environment are loaded. Each component model is programmed to mathematically simulate one or more components of the storage environment. A system model is then composed from the component models and this system model is configured to simulate the storage environment.

Modeling storage environments

A network storage server system includes a distributed object store, a presentation layer, a metadata subsystem, and a content management subsystem. The object store has no namespace and provides location-independent addressing of data objects. The presentation layer provides multiple interfaces for accessing data stored in the object store, including a NAS interface and a Web Service interface, and provides at least one namespace for accessing data via the NAS interface or the Web Service interface. The Web Service interface allows access to stored data via the namespace or without using the namespace ('raw object' access). The metadata subsystem stores user-specified and/or system-generated metadata relating to data objects and allows data objects to be identified and retrieved by searching on the metadata. The content management subsystem autonomously manages lifecycles of data objects according to user-specified policies, based on metadata associated with the data objects and tracked by the metadata subsystem.

Content repository implemented in a network storage server system

Example embodiments provide various techniques for modeling a storage environment at various times. A computer model can be composed to simulate a storage environment at various time periods. In an example, the computer model may simulate the storage environment in the past. As the storage environment is running, it continuously stores its existing state. This existing state can be accessed and a simulated workload may be applied to this previous state to identify an impact of the simulated workload on the existing state. A computer model may also simulate the storage environment in the future. Here, the future state of the storage environment may be projected from the existing state. Various extrapolation techniques may be used to project the future state of the storage environment.

Modeling a storage environment at various times

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Karnataka, India

Thirumale Niranjan