Huawei Technologies Co., Limited

Huawei Cloud Computing Technologies Co., Ltd.

Javier Picorel

Antonios Iliopoulos

Huatao Wu

Antonio Barbalace

Dmitry Voytik

Deping Tang

A public cloud system includes a cloud storage service apparatus configured to store an object file, and a cloud function service apparatus configured to obtain an objective function, wherein the objective function is data processing logic defined by a tenant for the object file. The cloud storage service apparatus is further configured to, when receiving a download request for the object file from a first client, send the object file to the cloud function service apparatus. The cloud function service apparatus is further configured to run the objective function to process the object file based on the data processing logic, and return a processed file to the cloud storage service apparatus. The cloud storage service apparatus is further configured to send the processed file to the first client.

Public cloud system and related method thereof

A system for enhancing processing of a query to a relational database, the system comprising a server associated with a database comprising a plurality of tuples. The server includes processing circuitry for executing a query engine configured to receive a query comprising one or more operators, and optionally, one or more conditions relating to one or more of a plurality of columns constituting each of the plurality of tuples. The server is further configured for propagating the operator(s), and optionally, the condition(s) to a storage engine configured to further propagate the operator(s) and optionally the condition(s) to a memory management module, which is adjusted to process the plurality of tuples retrieved from a storage medium storing the database and return each complying tuple of the plurality of tuples which complies with the operator(s) and optionally the condition(s). The complying tuples received from the storage engine are then output.

System and method for enhancing processing of a query to a relational database with software-based near-data processing (NDP) technology

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Munich, Germany

Javier Picorel