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Rover: Scalable Location-Aware Computing
October 2002 (vol. 35 no. 10)
pp. 46-53
Suman Banerjee, University of Maryland, College Park
Sulabh Agarwal, Epic Systems Corp
Kevin Kamel, University of Maryland Institute for Advanced Computer Studies, College Park
Andrzej Kochut, University of Maryland, College Park
Christopher Kommareddy, University of Maryland, College Park
Tamer Nadeem, University of Maryland, College Park
Pankaj Thakkar, AskJeeves
Bao Trinh, University of Maryland, College Park
Adel Youssef, University of Maryland, College Park
Moustafa Youssef, University of Maryland, College Park
Ronald L. Larsen, University of Pittsburgh
A. Udaya Shankar, University of Maryland, College Park
Ashok Agrawala, University of Maryland

All the components necessary forrealizing location-aware computingare available in the marketplacetoday. What has hindered the widespreaddeployment of location-based systems isthe lack of an integration architecturethat scales with user populations.

The authors have completed the initialimplementation of Rover, a system designedto achieve this sort of integrationand to automatically tailor informationand services to a mobile user?s location.

Their studies have validated Rover?sunderlying software architecture, whichachieves system scalability through highresolution,application-specific resourcescheduling at the servers and network.

The authors believe that this technologywill greatly enhance the user experience inmany places, including museums, amusementand theme parks, shopping malls,game fields, offices, and business centers.They designed the system specifically toscale to large user populations and expectits benefits to increase with them.

Suman Banerjee, Sulabh Agarwal, Kevin Kamel, Andrzej Kochut, Christopher Kommareddy, Tamer Nadeem, Pankaj Thakkar, Bao Trinh, Adel Youssef, Moustafa Youssef, Ronald L. Larsen, A. Udaya Shankar, Ashok Agrawala, "Rover: Scalable Location-Aware Computing," Computer, vol. 35, no. 10, pp. 46-53, Oct. 2002, doi:10.1109/MC.2002.1039517
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