Salesforce Com, Inc.

Salesforce, Inc.

Bertha Ching Wai Lam

Prithvi Krishnan Padmanabhan

Yogesh Patel

Shaahin Mehdinezhad Rushan

Mahalaxmi Sanathkumar

William Victor Gray

Rajkumar Pellakuru

Shreedhar Sundaram

William Hackett

Sri Naga Deepthi Velisetti

Johannes Kienzle

Bhaves Patel

Brent Fosdick

Exemplary systems, methods, and apparatuses implement efficient storage and validation of data and metadata within a blockchain using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment. Such a system, having at least a processor and a memory therein and executing within a host organization, in which such a system includes: means for operating a blockchain interface to a blockchain on behalf of a plurality of tenants of the host organization, in which each one of the plurality of tenants operate as a participating node with access to the blockchain; receiving a transaction for the blockchain requesting the host organization to update a data record persistently stored on the blockchain, the transaction specifying updated values for one or more of a plurality of data elements of the data record; executing a smart contract to validate the updated values specified by the transaction before permitting the transaction to be added to the blockchain to update the data record on the blockchain with the updated values; and writing the updated values for the data record to the blockchain by adding the transaction to a new block on the blockchain pursuant to successful validation of the updated data values by the smart contract.

Systems, methods, and apparatuses for implementing efficient storage and validation of data and metadata within a blockchain using distributed ledger technology (DLT)

Exemplary systems, methods, and apparatuses implement a declarative and metadata driven blockchain platform using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment. The exemplary system operates a blockchain interface to the blockchain; receives inputs declaring a new application, network participants for the new application, access rights to the new application, as well as entity types and field definitions for the new application. The system further generates a blockchain asset having encoded therein as the defined metadata for the new application, at least (i) the plurality of network participants declared, (ii) the plurality of entity types declared, and (iii) the one or more new field definitions declared for each of the plurality of entity types; and transacts the blockchain asset having onto the blockchain.

Systems, methods, and apparatuses for implementing a declarative and metadata driven blockchain platform using distributed ledger technology (DLT)

A total number of messages in a set of messages that are processed by a computing node in a virtual computer cluster during a time interval is determined. The virtual computer cluster is deployed with a cloud computing service and includes the computing node and other computing nodes at an end time of the time interval. It is determined whether the total number of messages in the set of messages processed by the computing node is no less than a maximum per-interval message number threshold. In response to determining that the total number of messages is no less than a maximum per-interval message number threshold, the cloud computing service is caused to start an additional computing node in the virtual computer cluster after the time interval, wherein the additional computing node is used to process one or more subsequent messages to be processed after the time interval.

Streaming traffic pattern for public cloud auto scaling

A cloud computing service is used to deploy a virtual computer cluster. The virtual computer cluster is initialized with a set of one or more streaming nodes for processing first messages of one or more streaming jobs. It is determined whether the virtual computer cluster is to process second messages of a non-streaming job. In response to determining that the virtual computer cluster is to process the second messages of the non-streaming job, for example using control messages, the cloud computing service is caused to start a non-streaming node in the virtual computer cluster. The non-streaming node is tasked to process the second messages of the non-streaming job.

Control message from streaming source to facilitate scaling

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San Francisco, CA, United States of America

Bertha Ching Wai Lam