Ebay, Incorporated

Paypal, Inc.

Sergiy Pereshyvaylo

Vadim Geshel

Yitao Yao

Angie Ruan

Kam Kasravi

Maxim Drobintsev

Bin Yu

Sudheendra Vasudeva Murthy

Aswani Kumar Raveendran Nair

Laura Wong

Srikala Munamala

Hemant Tamhankar

Ping Zou

In some examples, a method includes identifying a first listing and an additional listing having one or more characteristics in common, the first listing and the additional listing published on an online marketplace; receiving a request to perform an operation on the first listing and the additional listing; in response to the request, generating a batch of events based on the operation, the batch of events including a first event to be performed on the first listing and a second event to be performed on the additional listing; performing the first event on the first listing and the second event on the additional listing.

Business event processing

A method and a system to provide daisy chain distribution in data centers are provided. A node identification module identifies three or more data nodes of a plurality of data nodes. The identification of three or more data nodes indicates that the respective data nodes are to receive a copy of a data file. A connection creation module to, using one or more processors, create communication connections between the three or more data nodes. The communication connections form a daisy chain beginning at a seeder data node of the three or more data nodes and ending at a terminal data node of the three or more data nodes.

Daisy chain distribution in data centers

In one example, a system comprises one or more processors to execute a business event processing module. The business event processing module is configured to receive a request to perform an operation on a listing published by an online marketplace, identify at least one additional listing having certain characteristics in common with the listing from a plurality of published listings including the listing, and automatically perform the operation on the at least one additional listing. The system includes a last event processor to determine a performance of the operation on a last instance of the at least one additional listing.

In one example embodiment, a system comprises a processor-implemented event processor accessible over a network; a processor-implemented event producer associated with the event processor and configured to monitor an action or directive of a consumer resource and, in response to a detected action or directive, generate an event and event metadata; a processor-implemented converter associated with the event processor configured to acquire the event metadata and generate a generic event based on the acquired event metadata; and a transporter configured to distribute the generic event to a plurality of consumer resources.

Methods and systems to process a request received at an application program interface are described. The system receives a request from a client machine that includes a job that is associated with data. The request is received at an application program interface. Next, a peer-to-peer network of processing nodes generates a plurality of sub-jobs based on the job. The peer-to-peer network of processing nodes schedules the plurality of sub-jobs for parallel processing based on an availability of resources that are respectively utilized by the sub-jobs and parallel processes the plurality of sub-jobs before generating task results that are respectively associated with the plurality of sub-jobs.

Systems and methods to process a request received at an application program interface

In one example, an apparatus comprises processors to execute a business event processing module. The module is configured to receive a request to perform an operation on a first listing in a set of listings and identify, in the set of listings, additional listings having certain characteristics in common with the first listing. The operation is automatically performed on the additional listings and a performance of the operation on a last instance of the additional listings is determined by a last event processor.

In one example embodiment, a system comprises an event processing module accessible over a network; an event producer module associated with the event processing module and configured to monitor an action or directive of a consumer resource and, in response to a detected action or directive, generate an event and event metadata. The system further includes a conversion module associated with the event processing module and configured to acquire the event metadata and generate a generic event based on the acquired event metadata, and a transport module configured to distribute the generic event to a plurality of consumer resources.

Techniques for business event processing are presented. Methods and apparatuses disclosed herein may operate receive a request to perform an operation on a first listing previously listed by a marketplace participant at an online market location; to identify at least one additional listing having certain characteristics in common with the listing from a plurality of previously listed second 1istings including the first listing; and to automatically to perform the operation on the at least one additional listing.

Techniques for business event processing are presented. Methods and apparatuses disclosed herein may operate to receiving a request to perform an operation on a listing previously published by an online marketplace; to identify at least one additional listing having certain characteristics in common with the listing from a plurality of previously published listings including the listing; and to automatically perform the operation on the at least one additional listing. The operation may include performing an inventory check on the at least one additional listing.

Techniques for business event processing are presented. Methods and apparatuses disclosed herein may operate to receive a request to perform an operation on a listing previously published by an online marketplace; to identify at least one additional listing having certain characteristics in common with the listing from a plurality of previously published listings including the listing; and to automatically perform the operation on the at least one additional listing.

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San Jose, CA, United States of America

Sergiy Pereshyvaylo