发明名称 AUTOMATED END-TO-END SALES PROCESS OF STORAGE APPLIANCES OF STORAGE SYSTEMS USING PREDICTIVE MODELING
摘要 Techniques for generating end-to-end sales leads based on storage capacity forecast using predictive modeling are described herein. According to one embodiment, diagnostic data is received from a data collector that periodically collects the diagnostic data from a storage system having one or more storage units to store data objects. A capacity forecaster coupled to the data collector forecasts a full capacity date using predictive modeling based on the diagnostic data, where the full capacity date estimates a date in which the one or more storage units reach a full storage capacity. A context generator coupled to the capacity forecaster generates a context having information identifying the one or more storage units of the storage system and an operator operating the storage system, wherein the context is used to communicate with the operator for acquiring an additional storage unit to increase storage capacity prior to the full capacity date.
申请公布号 US2016004975(A1) 申请公布日期 2016.01.07
申请号 US201514793583 申请日期 2015.07.07
申请人 EMC Corporation 发明人 Chamness Mark;Singer David
分类号 G06N5/04;G06N99/00;G06F17/30 主分类号 G06N5/04
代理机构 代理人
主权项 1. A computer-implemented method, comprising: receiving diagnostic data associated with a storage system having one or more storage units to store data objects; forecasting, by a capacity forecaster, a full capacity date using predictive modeling based on the diagnostic data, wherein the full capacity date corresponds to a date on which the one or more storage units are predicted to reach a full storage capacity; generating, by a generator, an indication identifying a type of the one or more storage units of the storage system, wherein the indication is used to communicate regarding an increase in a storage capacity of the storage system before the full capacity date; updating the generator and the capacity forecaster based at least in part on an event that occurs in response to the indication; and using the updated generator to generate a subsequent indication based at least in part on a subsequent full capacity date that is determined using predictive modeling.
地址 Hopkinton MA US