International Business Machines Corporation

Aditya Abhay Desai

Stephen Joseph Kenna

Michael Peter Etgen

Darrell O Bleakley

Brian Keith Martin

Gabriel Garcia Montero

Louis M Demmler

Jason Robert McGee

Charles Plilip Fricano

Louis M Demmier

A dynamic rebalancer operates in a server cluster independently of routers directing traffic to the servers in the cluster. An analysis component uses configuration information and statistics information to determine which session, if any, should be moved. A filter component receives transfer instructions from the analysis component. When the filter component receives transfer instructions from the analysis component, the filter component adds a redirect command to the client request. The filter component continually redirects client requests within the session to the new server until the client receives the redirect command and begins to send client requests to the new server.

Method and system for dynamically rebalancing client sessions within a cluster of servers connected to a network

Embodiments of the present invention provide a method, system and computer program product for an on-line shopping assistant for in-store shopping. In an embodiment of the invention, a method for managing an on-line shopping assistant for in-store shopping is provided. The method includes locating an in-store shopper in a portion of a store by locating a mobile device registered in a database in association with the in-store shopper. The method also includes receiving a request for data through the mobile device pertaining to at least one item in the store and filtering the requested data based upon the location of the in-store shopper in the portion of the store. Finally, the method includes presenting the filtered data in a display of the mobile device.

On-line shopping assistant for in-store shopping

Embodiments of the present provide a method, system and computer program product for collaborative co-shopping in e-commerce. In an embodiment of the invention, a method for collaborative co-shopping in e-commerce includes registering different shoppers in a database for collaborative co-shopping and selecting an item for sale in an e-commerce Web site on behalf of an online shopper. The method also includes determining from the database a location of the item in a brick and mortar store and detecting one of the registered different shoppers in proximity to the item in the brick and mortar store. The method yet further includes establishing a collaborative communicative session through the Web site over a network between the online shopper and the detected one of the registered different shoppers. Finally, the method includes transmitting messages regarding the item between the online shopper and the detected one of the registered different shoppers over the session.

Collaborative co-shopping for e-commerce

Prioritization of fragmented messages in an ORB is achieved by intercepting the flow of message data within the ORB, marking the current data stream location and issuing sufficient read commands to gather the message header and control area information. Then classification for priority can be performed using the data in the control area to classify the request. The classification information is stored for the message for later use by queuing and prioritization processes and the data stream marker is reset to the original location. When the queuing and prioritization processes are ready to dispatch the message, the message can be sent on to the higher levels of processing within the ORB where the higher levels of message processing code will process the message, totally unaware of the fact that the message has been classified and/or queued or prioritized prior to delivery to the higher level.

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Morrisville, NC, United States of America

Aditya Abhay Desai