Storage-based replication of e-commerce transactions in real time

• US 9,659,292 B1
• Filed: 08/30/2001
• Issued: 05/23/2017
• Est. Priority Date: 08/30/2001
• Status: Active Grant

• Current Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Original Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Inventors: Vu, Quang, Chehadeh, Mohamad
• Primary Examiner(s): Hayes, John
• Assistant Examiner(s): Winter, John M
• Application Number:
  US99/442,87
• Time in Patent Office: 5,745 Days
• Field of Search: 705 50
• CPC Class Codes: G06F 16/2308 Concurrency control transaction processing G06F9/466
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06Q 20/3674 involving authentication
• CPC Class Codes: G06Q 20/382 insuring higher security of transaction
• CPC Class Codes: G06Q 20/389 Keeping log of transactions for guaranteeing non-repudiation of a transaction
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 20/405 Establishing or using transaction specific rules
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

The back-end data storage system of an e-commerce system receives a replicated transaction from the data storage system of another e-commerce system and makes a determination or decision whether to commit the replicated transaction based upon a comparison of information parsed from the transaction with predetermined commit criteria.

Claims

1. A method for replicating an e-commerce transaction, comprising:

a first host receiving the e-commerce transaction via a data network, the first host coupled to a first back-end data storage system, the e-commerce transaction comprising a list of database table operations;

the first host committing the transaction to the first back-end data storage system;

replicating the transaction, at the first back-end data storage system;

the first back-end data storage system transmitting the replicated transaction to a second back-end data storage system coupled to a second host;

parsing, by the second back-end data storage system, the replicated transaction to extract transaction participant characteristic information;

making a determination, based at least in part on the extracted transaction participant characteristic information, whether to commit the replicated transaction, and,

based on a positive determination to commit, committing by the second back-end data storage system the replicated transaction by performing the list of database operations to mirror or back-up selective transactions of the first data storage system.

2. The method claimed in claim 1, wherein the second host receives other e-commerce transactions via the network.

3. The method claimed in claim 1, wherein the step of making a determination to commit the transaction replica and the step of the second back-end data storage system committing the transaction replica occur without interrupting data communication between a host and a storage device to which the transaction replica is committed.

4. The method claimed in claim 3, wherein the second back-end data storage system includes a main storage device and an interceptor device, and the interceptor device has logic associated with it for making the determination to commit the transaction replica.

5. The method claimed in claim 4, wherein the first back-end data storage system includes a main storage device and an interceptor device, and the interceptor device has logic associated with it for performing operations upon the transaction before the replicating step.

6. The method claimed in claim 1, wherein the extracted transaction participant identifies a seller involved in a transaction, and wherein making a determination to commit the transaction replica based at least in part on the extracted transaction participant characteristic further comprises:

making a determination to commit a transaction involving a first seller and making a determination not to commit a transaction involving a second seller.

7. The method claimed in claim 1, wherein the extracted transaction participant characteristic identifies a buyer involved in a transaction, and wherein making a determination to commit the transaction replica based at least in part on the extracted transaction participant characteristic information further comprises:

making a determination to commit a transaction involving a first buyer and making a determination not to commit a transaction involving a second buyer.

8. The method claimed in claim 1, wherein the extracted transaction participant characteristic identifies a third-party referral source of a transaction, and wherein making a determination to commit the transaction replica based at least in part on the extracted transaction participant characteristic information further comprises:

making a determination to commit a transaction involving a first third-party referral source and making a determination not to commit a transaction involving a second third party referral source.

9. The method claimed in claim 1, wherein the extracted transaction participant characteristic identifies a manufacturer involved in a transaction, and wherein making a determination to commit the transaction replica based at least in part on the extracted transaction participant characteristic further comprises:

making a determination to commit a transaction involving a first manufacturer and making a determination not to commit a transaction involving a second manufacturer.