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3.6.2000R. Bayer, DB for Mobile Comp.1 Database Support for Mobile Computing Applications R. Bayer Institut für Informatik TU München 3.6.2000 Rudolf/Vorlesungen/DWH-SS2000/DWH-MobileComp.

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Presentation on theme: "3.6.2000R. Bayer, DB for Mobile Comp.1 Database Support for Mobile Computing Applications R. Bayer Institut für Informatik TU München 3.6.2000 Rudolf/Vorlesungen/DWH-SS2000/DWH-MobileComp."— Presentation transcript:

1 R. Bayer, DB for Mobile Comp.1 Database Support for Mobile Computing Applications R. Bayer Institut für Informatik TU München Rudolf/Vorlesungen/DWH-SS2000/DWH-MobileComp

2 R. Bayer, DB for Mobile Comp.2 Future Mobile Phones contain WEB browser have UTMS bandwidth 1.2 Mb/s integrated with GPS, i.e. exact position of phone and owner is known entirely novel applications

3 R. Bayer, DB for Mobile Comp.3 Car Traveler on Road Car knows destination, gas consumption, gas remaining Questions and services: –reachable cheapest gas station along route? –next BMW repair station? –restaurant with in 100 km serving asparagus or lobster?

4 R. Bayer, DB for Mobile Comp.4 Car Traffic Management in Munich Assumptions: 10 6 cars registered 10 5 cars traveling Route-DB for preplanned routes, 10 per car, 10 4 B/route 10 6 cars * 10 routes/car * 10 4 B/route = B = 100 GB Drive-DB 10 5 cars *1 route/car * 10 4 B/route = 10 9 B = 1 GB

5 R. Bayer, DB for Mobile Comp.5 Reads and Updates Updates to Drive-DB: 1 update/(car*min) 10 5 cars*1 update/(car*min) = 10 5 updates/min ~ t/s Reads from Route-DB: travel time = 30 minutes (10 5 cars/30 min)*1 read/car = 10 5 reads/(30*60) sec ~ 56 t/s

6 R. Bayer, DB for Mobile Comp.6 Route Calculations Initial Routes: compute one optimal route on departure of car based on present traffic situation in Drive-DB 56 routes/s Adaption of Routes: with every update of own position, car wants to know optimal route, in most cases the same as before? checks/s

7 R. Bayer, DB for Mobile Comp.7 City Tourist What is this? ( I am standing in front of?) I want to know more, what is the URL? Where is the next bus or subway station, taxi point, public toilet, please guide me to it (load down part of city map with direct route inserted or text: ) Where is medium priced fish restaurant within 500 m? Show it, make a reservation. I need an antihistamine, where is the next open pharmacy?

8 R. Bayer, DB for Mobile Comp.8 Air Traveler T is approaching airport Munich by car, server knows flight F and car or subway. Proceed to parking P1, level 2, space 437 Mr. Bayer, you are checked into flight LH451 to Cologne, leaving from gate A17, boarding time is 7:45, go towards gate in 7 minutes On return: parking ticket paid automatically, gate opens, when car approaches.

9 R. Bayer, DB for Mobile Comp.9 Truck Management What is position of trucks near Cologne with at least 1 ton loading capacity and slack of 1 hour in their delivery schedule? Show me planned travel route and stops of truck 327

10 R. Bayer, DB for Mobile Comp.10 Shoppers: Info pull or push? On entering Kaufhof, select WEB server Information pull: –guide me to the perfume dept. –bestsellers in detective stories? Information push (to close shoppers): –McDonald coming up 120 meters to right –H&M has bikini special –WOM: Madonnas new single just arrived

11 R. Bayer, DB for Mobile Comp.11 Nightlife Which friends are in Schwabing now? Who is DJ at P1? Live video shot with soundtrack from P1. ODODO, Kunstpark Ost My position is... Anybody close to share taxi to...?

12 R. Bayer, DB for Mobile Comp.12 Sales Representative On approaching customer C: download the relevant marketing materials, sales and delivery data for C, combined with DWH. Show homepage and picture of person I meet Did C have any reclamations recently? Any significant changes in buying pattern of C recently? Question: B2B applications ???

13 R. Bayer, DB for Mobile Comp.13 Taxi Service Please pick me up to go to Kentvale apartments Taxi server finds optimal taxi: Mr. Bayer, please stay where you are, a blue Comfort Taxi with plate SHA C will pick you up in approximately 3 minutes

14 R. Bayer, DB for Mobile Comp.14 Emergency Service Pushing the panic button calls police or ambulance mobile phone transmits position and medical data of owner, voice of attacker

15 R. Bayer, DB for Mobile Comp.15 Hotel Guest Theatre in walking distance showing movie with Meryl Streep starting around 20 h? Show map with route. reserve and pay ticket nearby bar serving Heineken?...

16 R. Bayer, DB for Mobile Comp.16 The Database Problem Types of Subjects: Fixed location constant state: buildings, statues, paintings in museums, with a lot of additional information variable state: restaurants with seats Mobile constant state, if subject refuses to disclose state variable state

17 R. Bayer, DB for Mobile Comp.17 Attributes and Dimensions 1. Location: 2 or 3 dimensions 2. Time: for tractable subjects like trucks 3. Classification of Subjects: hierarchies and MHC ~ subject ID, e.g. automotive (cars, gas stations, parking, repair stations) eating shopping arts4 to 5 dimensions 4. State: movie playing now, number of free seats,... probably modeled like features of GfK

18 R. Bayer, DB for Mobile Comp.18 Database Size (Mengengerüst) 1. Assumptions about Size 10 7 mobile subjects in Bavaria * 1000 B = 10 GB 10 5 fixed subjects, which are constant, but with 10 5 Bytes for image = B = 10 GB 10 5 variable subjects * 10 KB = 1 GB 11 GB with high update frequency !

19 R. Bayer, DB for Mobile Comp Assumptions about Updates and Queries A person is moving at most 10% of the time, i.e. 2.5 hours per day? Update rate 1 per minute for variable subjects 11*10 5 variable subjects * 1 update per minute = 11*10 5 /60 U/s ~ updates /s achievable with parallel DBMS !

20 R. Bayer, DB for Mobile Comp.20 Crosscheck for Airport Munich 20 flights /h* 300 passengers/flight = passengers / h ~ DB size 60 MB 10 updates or queries per passenger? t/h = 1000 t/m ~ 20 t/s 1 Server handles problem, second server for redundancy and mirroring DB!

21 R. Bayer, DB for Mobile Comp.21 Hurdles Data Acquisition –Mobile subjects: Telekom companies –Fixed constant subjects: 10 5 * 10 DM = 1 million DM –Variable subjects: free data via advertising Business Model –network providers –content providers –SW and technology providers


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