公开(公告)号：US10402195B2

公开(公告)日：2019-09-03

申请号：US15784513

申请日：2017-10-16

Applicant: General Electric Company

Inventor： Jong Yoon Lee ,  Alexandre Iankoulski ,  Arnab Guin ,  Yan Or

IPC: G06F8/60 ,  G06F8/76

Abstract: The example embodiments are directed to a framework that supports multiple runtime environments. In one example, a method includes exporting a software application to a runtime environment via a framework that supports multiple runtime environments, selecting a runtime template based on the export runtime environment, wherein the selected runtime template transforms data being ingested by the software application based on the export runtime environment, executing the software application in the export runtime environment, and controlling data ingestion into the executing software application based on the selected runtime template. According to various aspects, the software application may be developed using a programming language that is designed for use with a particular runtime environment, while the runtime template can enable the software application to be executed in a different runtime environment.

公开(公告)号：US20180189701A1

公开(公告)日：2018-07-05

申请号：US15393755

申请日：2016-12-29

Applicant: General Electric Company

Inventor： Tun Chang ,  Arnab Guin

IPC: G06Q10/06

CPC classification number: G06Q10/06312 ,  G06F9/5072 ,  G06F9/52 ,  G06F12/0806 ,  G06F12/084 ,  G06F12/0891 ,  G06F2212/1032 ,  Y02P90/86

Abstract: In some embodiments, a cloud-based services architecture may receive operating data associated with a set of assets from a set of enterprise system devices. The cloud-based services architecture may then process the received operating data. A plurality of computing platforms may execute instance runs of a plurality of analytics, with each instance run being associated with an industrial asset. A distributed cache may be shared by the plurality of analytic instance runs executing on the plurality of computing platforms. An orchestration run-time execution engine may maintain an overall count value that represents a number of analytic instance runs currently utilizing the distributed cache. Note that the distributed cache may be emptied when the overall count value indicates that no analytic instance runs are still utilizing the distributed cache.