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公开(公告)号:US20200050578A1
公开(公告)日:2020-02-13
申请号:US16100076
申请日:2018-08-09
Applicant: Hewlett Packard Enterprise Development LP
Inventor: SATISH KUMAR MOPUR , SAIKAT MUKHERJEE , GUNALAN PERUMAL VIJAYAN , SRIDHAR BALACHANDRIAH , ASHUTOSH AGRAWAL , KRISHNAPRASAD LINGADAHALLI SHASTRY , GREGORY S. BATTAS
Abstract: The disclosure relates to technology that implements flow control for machine learning on data such as Internet of Things (“IoT”) datasets. The system may route outputs of a data splitter function performed on the IoT datasets to a designated target model based on a user specification for routing the outputs. In this manner, the IoT datasets may be dynamically routed to target datasets without reprogramming machine-learning pipelines, which enable rapid training, testing and validation of ML models as well as an ability to concurrently train, validate, and execute ML models.
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公开(公告)号:US20240256525A1
公开(公告)日:2024-08-01
申请号:US18160704
申请日:2023-01-27
Applicant: Hewlett Packard Enterprise Development LP
Inventor: SATHYANARAYANAN MANAMOHAN , KRISHNAPRASAD LINGADAHALLI SHASTRY , RAVI SARVESWARA , SAIKAT MUKHERJEE
CPC classification number: G06F16/2379 , G06F16/273 , G06F21/6218
Abstract: Systems and methods are disclosed for providing decentralized policy-based transactional object management for systems employing federated workflows. Various disclosed components may be added to one or more nodes of a decentralized network, wherein the disclosed components perform registration, replication, and read/write access interfacing functions. These functions result in the storage of objects on the decentralized network in a way which allows for decentralized, policy-based, and transactional management of the objects.
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