Abstract: A system for achieving non-interruptive data reconstruction is disclosed. The system includes a source storage, a target storage, a server, a traffic modeling unit and at least one data moving service unit. With the help of traffic modeling unit, a period of time of low access can be estimated. Data reconstruction (copying or moving) can be carried on during the period of time. Thus, non-interruptive data reconstruction can be done.

Abstract: An adaptive fuzzy rule controlling system for a software defined storage (SDS) system to control performance parameters in a storage node is disclosed. The system includes: a traffic monitoring module, for acquiring observed values of performance parameters in the storage node; an adaptive neural fuzzy inference module, for learning a dynamic relationship between configurations of a plurality of storage devices in the storage node and the performance parameters during a period of time, and outputting fuzzy rules which is built according to the dynamic relationship; a traffic forecasting module, for providing forecasted values of the performance parameters in a particular point in time in the future; and a fuzzy rule control module, for arranging the configuration of the storage devices in the storage node in the particular point in time in the future according to the fuzzy rules and the forecasted values.

Abstract: A method for encapsulating functions for application programming interface in a cloud environment is disclosed. The method includes the steps of: A. providing an API supported by a driver; B inheriting the API as a new class if the API is usable for a service device in a computing node environment; C. augmenting extending function(s) for the service device to the driver; and D. repackaging the driver to conform to the inherited API.