TRANSACTION DATA STRUCTURE FOR PROCESS COMMUNICATIONS AMONG NETWORK-DISTRIBUTED APPLICATIONS
Patent №
US 6,971,096
Granted
2005-11-29
Filed 2000
Owner
SUN MICROSYSTEMS, INC.
Lab
—
AI components
3
nlp · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09574335
A process automation application, referred to as a commerce exchange server, for sending transaction messages between application programs uses a transaction definition data structure for specifying the component operations and processing logic that comprise the transaction. The data structure specifies one or more operations that constitute the transaction, instructions for producing the input data needed for each operation, and conditional logic for specifying constraints on the sequence of operation execution. The conditional logic may include one or more expressions, ranging from simple to complex, including variables, math operations and functions, that are evaluated using the inputs or outputs of one or more prior operations to determine execution order of subsequent operations. The transaction definition data structure may also provide for broadcast operations and for conditioning the success of their execution. In an illustrated implementation, the transaction definition data structure is an XML (Extensible Markup Language) document in the form of a directed acyclic graph (DAG). A transaction service architecture provides for storing transaction definitions that define specific types or categories of transactions in a transaction database, and for matching a transaction definition to a transaction definition identifier from a requesting application. The transaction service then builds a transaction instance DAG to perform the transaction, produces the messages needed for performing the transaction, and manages the message flow to and from the service applications that perform the constituent operations of the transaction.
AI classification
Ownership
SUN MICROSYSTEMS, INC.
assignment · 114370543
Assignors
ANKIREDDIPALLY, LAKSHMI NARASIMHA, YEH, RYH-WEI, NICHOLS, DAN, DEVESETTI, RAVI
On an employer assignment, the assignors are typically the inventors.