Abstract: An online remittance service system with a methodology for predicting disbursement times of online electronic funds transfers is disclosed. In one embodiment, for example, a method includes storing in computer memory a model of a disbursement process performed by one or more partners of the online remittance service for disbursing funds to payees in the destination country; based on the model, scheduling one or more computer-executable jobs with a job scheduling module representing one or more steps of the disbursement process; for each job of the one or more jobs, determining a next execution time for the job, the next execution time representing a time at which the job scheduling module will next execute the job after a specified time; and based on the next execution times for the one more jobs, determining a predicted time of disbursement of the online electronic funds transfer.

Abstract: An online remittance service system with a methodology for predicting disbursement times of online electronic funds transfers is disclosed. In one embodiment, for example, a method includes storing in computer memory a model of a disbursement process performed by one or more partners of the online remittance service for disbursing funds to payees in the destination country; based on the model, scheduling one or more computer-executable jobs with a job scheduling module representing one or more steps of the disbursement process; for each job of the one or more jobs, determining a next execution time for the job, the next execution time representing a time at which the job scheduling module will next execute the job after a specified time; and based on the next execution times for the one more jobs, determining a predicted time of disbursement of the online electronic funds transfer.

Abstract: An online remittance service system with a methodology for predicting disbursement times of online electronic funds transfers is disclosed. In one embodiment, for example, a method includes storing in computer memory a model of a disbursement process performed by one or more partners of the online remittance service for disbursing funds to payees in the destination country; based on the model, scheduling one or more computer-executable jobs with a job scheduling module representing one or more steps of the disbursement process; for each job of the one or more jobs, determining a next execution time for the job, the next execution time representing a time at which the job scheduling module will next execute the job after a specified time; and based on the next execution times for the one or more jobs, determining a predicted time of disbursement of the online electronic funds transfer.

Abstract: An online remittance service system with a methodology for predicting disbursement times of online electronic funds transfers is disclosed. In one embodiment, for example, a method includes storing in computer memory a model of a disbursement process performed by one or more partners of the online remittance service for disbursing funds to payees in the destination country; based on the model, scheduling one or more computer-executable jobs with a job scheduling module representing one or more steps of the disbursement process; for each job of the one or more jobs, determining a next execution time for the job, the next execution time representing a time at which the job scheduling module will next execute the job after a specified time; and based on the next execution times for the one or more jobs, determining a predicted time of disbursement of the online electronic funds transfer.

Abstract: The present invention relates to a method for synchronizing databases in a network environment. Specifically, the present invention pertains to a method of using a set of hierarchical rules to enable an efficient and speedy synchronization between multiple copies of a database. The present invention enables an “n-way” synchronization of databases where “n”, the number of databases synchronized, is essentially any number more than two. In one embodiment, the present invention provides rule-based, n-way, synchronization by selecting a focus copy of the database, comparing the data records of the focus copy against the same records in other copies of the database to identify those deleted and modified; removing all the records indicated to be deleted, modifying those to be modified, and adding new record identifiers in the case of multiple modifications to the same record.

Abstract: A method and system for synchronizing multiple copies of a database in a network environment wherein each copy can have a customized synchronization rule-set. Specifically, the present invention discloses a method and system for a coordinated “n-way” synchronization of multiple database copies where “n”, the number of copies synchronized, is essentially any number more than two. Further, each database copy is assigned to a priority level that defines the order of synchronization priority. At each priority level, starting with the level with highest priority, the present invention dynamically creates a non-conflicting rule-set upon synchronization of the n-database copies. Thereafter, rule-based synchronization of the n-database copies is performed according to priority order. This process is repeated at each priority level where higher order priority levels have priority over lower order levels in terms of synchronization of the database copies between priority levels.

Abstract: The present invention relates to a method for synchronizing databases in a network environment. Specifically, the present invention pertains to a method of using a set of hierarchical rules to enable an efficient and speedy synchronization between multiple copies of a database. The present invention enables an “n-way” synchronization of databases where “n”, the number of databases synchronized, is essentially any number more than two. In one embodiment, the present invention provides rule-based, n-way, synchronization by selecting a focus copy of the database, comparing the data records of the focus copy against the same records in other copies of the database to identify those deleted and modified; removing all the records indicated to be deleted, modifying those to be modified, and adding new record identifiers in the case of multiple modifications to the same record.