Schlumberger Technology Corporation

Vmware, Inc.

Cisco Technology, Inc.

Abhishek Gupta

Richard Paul Spillane

Kishore Mulchandani

Christos Karamanolis

Wenguang Wang

Umamaheswararao Karyampudi

Jorge Guerra Delgado

Srinath Premachandran

Krishna Kumar Vavilala

Sandeep Rangaswamy

Kapil Chowksey

Ajay Kumar Modi

Sundher Narayanaswamy

Rob T Johnson

Marin Nozhchev

Kostadin Georgiev

Dimiter Dimitriev

Sanjib Homchaudhuri

Senthil Arunacahalam

Vedashree Bagade

A discriminator of a training model is trained to discriminate between original training images without artificial subsurface data and modified training images with artificial subsurface data. A generator of the training model is trained to: replace portions of original training images with the artificial subsurface data to form the modified training images, and prevent the discriminator from discriminating between the original training images and the modified training images.

Artificial intelligence technique to fill missing well data

Distributed appending of transactions in data lakes is described. A first message is received, at a first ingestion node of a plurality of ingestion nodes, as part of a transaction. The first message identifies a transaction identifier (ID) and a portion of data for the transaction. The data of the first message is persisted in temporary storage. A count of messages for the transaction for the first ingestion node is determined. Based on at least the count of messages, it is determined that the first ingestion node has received a complete set of messages for the transaction for the first ingestion node. A metadata write request is transmitted, by the first ingestion node, to a coordinator. The metadata write request includes a self-describing reference to persisted data. The self-describing reference identifies the first ingestion node, location information of the persisted data, and a range of the first data.

Distributed appending of transactions in data lakes

A version control interface for data provides a layer of abstraction that permits multiple readers and writers to access data lakes concurrently. An overlay file system, based on a data structure such as a tree, is used on top of one or more underlying storage instances to implement the interface. Each tree node tree is identified and accessed by means of any universally unique identifiers. Copy-on-write with the tree data structure implements snapshots of the overlay file system. The snapshots support a long-lived master branch, with point-in-time snapshots of its history, and one or more short-lived private branches. As data objects are written to the data lake, the private branch corresponding to a writer is updated. The private branches are merged back into the master branch using any merging logic, and conflict resolution policies are implemented. Readers read from the updated master branch or from any of the private branches.

Version control interface for accessing data lakes

Exemplary methods, apparatuses, and systems include a file system process obtaining locks on a first node and a second node in a tree structure, with the second node being a child node of the first node. The file system process determines a quantity of child nodes of the second. While holding the locks on the first and second nodes, the file system determines whether to proactively split or merge the second node. In response to determining that the quantity of child nodes is within a first range, the file system process splits the second node. If the file system process determines that the quantity of child nodes is within a second range, the file system process merges the second node.

Proactive splitting and merging of nodes in a B-tree

A visualization request to visualize data is received. System parameters responsive to the visualization request are obtained. Predicted performance metrics are generated with a machine learning model using the system parameters. A workload server is obtained using a workload server profile selected using the predicted performance metrics, the workload server executing a visualization workload to generate a visualization. The visualization of the data is streamed, from the workload server to the client device, responsive to the visualization request.

Mapping workloads to cloud infrastructure

Relay functionality may be provided. A network device may receive a response packet and may determine that one of Option-82 and Option-18 information is not present in the received response packet. Next, in response to determining that one of Option-82 and Option-18 information is not present in the received response packet, a database may be queried for information associated with the response packet. Then, based on the information associated with the response packet, the response packet may be sent to a client device associated with the response packet.

Relay functionality in an application centric infrastructure (ACI) fabric

A PVLAN having a primary and secondary VLAN's where the primary and secondary VLAN's have ports and the users connected to those ports. The MAC addresses of those users are learned in the primary or the secondary VLAN's and together with the port designation are stored preferably in tables associated with the VLAN's and the associated VLAN's. Processes are provided that replicate the tables in the other VLAN's so that the information necessary to transfer packets between source and destination ports is available to the associated VLAN's.

Platform independent implementation of private VLANS

Growing community of inventors

San Jose, CA, United States of America

Abhishek Gupta