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Rover Technology Enabling Scalable Location Aware Computing ( Wireless )

Rover Technology Enabling Scalable Location Aware Computing ( Wireless ). Myoung – Seo Kim Super Computing Lab. 2003.04.28. Contents. Introduction Rover Services Rover Architecture Rover Clients Rover Controller Rover Database Bottlenecks

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Rover Technology Enabling Scalable Location Aware Computing ( Wireless )

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  1. Rover Technology Enabling Scalable Location Aware Computing ( Wireless ) Myoung–Seo Kim Super Computing Lab. 2003.04.28

  2. Contents • Introduction • Rover Services • Rover Architecture • Rover Clients • Rover Controller • Rover Database • Bottlenecks • Conclusions

  3. Introduction(1) • Shop to Shop • Information on newly - released data in his favorite categories are downloaded automatically into his PDA , along with their availability information. • We refer to this paradigm asLocation aware computing.

  4. Introduction(2) • Traditional notions of Time-aware, User-aware, and Device-aware. + Local-aware (in Rover). • location service that can track the location of every user, either by automated location determination technology or by the user manually entering current location. • Available via a variety of wireless access technologies. (IEEE 802.11 wireless LANs, Bluetooth, Infrared, cellular services) • Devices (laptop, PDA, cellular phone)

  5. Introduction(3) • Scales to a very large client population. • Rover achieves this through fine resolution application specific scheduling of resources at the servers and the network.

  6. Rover Services(1) • Enables a Basic set of data services in different media formats, including text, graphics, audio, and video. • Transactional services coordination of state between the clients and rover servers. ex) e-commerce interactions

  7. Rover Services(2) • Services that require location manipulation are a particularly important class of data services in Rover. • Locations an important attribute of all objects in Rover. – value, error, timestamp

  8. Map based services • Filter : Applied to maps to select the appropriate subset of objects to display to the users. • Zoom : Displayed map identifies it’s granularity. • Translate : Translated from the previously displayed map.

  9. Rover Architecture • Rover maintains a user profile for each end-user, that defines specific interests of the user and is used to customize the content served. • Rover-clients are the client devices through which users interact with Rover. Rover maintains a device profile for each device.

  10. Rover physical architecture(1) • Wireless access infrastructure • Servers –Rover controller Brain of Rover system – Location server –Media streaming unit –Rover database – Logger

  11. Rover physical architecture(2)

  12. Action model • Ready-to-run: At least one action of the server operation is eligible to be executed but no action of the server operation is executing. • Running: One action of the server operation is executing ( in a multi-processor setup, several actions of the operation can be executing simultaneously ). • Blocked: The server operation is waiting for asynchronous I/O response and no actions are eligible to be executed.

  13. Actions vs Threads

  14. Overheads

  15. Rover logical architecture

  16. Rover Database • User infobase and Content infobase. • Each transaction is identified - Lock-Acquiring - Blocking • Avoiding Deadlocks - Two phase Locking Protocol.

  17. Multi Rover System • Each separate museum has its independent administrative authority. Therefore, we can have a separate Rover system for each of the different museums that are administered separately by each museum authority.

  18. Initial Implementation(1) • Indoor and Outdoor environments. - developed under the Linux operating system. - Compaq iPAQs Pocket PC. • A GPS-device to the Compaq iPAQs and obtained device location accuracy of between 3-4 meters of outdoor.

  19. Initial Implementation(2) • 12 base stations that are distributed all over the building and typically the client device can receive signals from five or six of the base stations. University of Maryland. • get an accuracy of better than a meter in this environment, using very simple signal strength based estimation techniques.

  20. Bottlenecks • A large number of client requests with tight real time constraints. • Wireless access points – Limited bandwidth.

  21. Conclusions • We believe that Rover Technology will greatly enhance the user experience in a large number places, including visits to museums, amusement and theme parks, shopping malls, game fields, offices and business centers. • The system has been designed specifically to scale to large user populations. Therefore, we expect the benefits of this system to be higher in such large user population environments.

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