1 / 8

Mobile Peer-to-peer Databases and Incentives for Participation

Mobile Peer-to-peer Databases and Incentives for Participation. Bo Xu. Department of Computer Science University of Illinois at Chicago. Environment. query A report 1 report 2 report 3. Vehicles, smartphones, sensors, hotspots with short-range

zandra
Download Presentation

Mobile Peer-to-peer Databases and Incentives for Participation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Mobile Peer-to-peer Databases and Incentives for Participation Bo Xu Department of Computer Science University of Illinois at Chicago

  2. Environment query A report 1 report 2 report 3 Vehicles, smartphones, sensors, hotspots with short-range wireless capabilities report 8 query C Local query Local database query B report 4 report 5 Short-range wireless networks 802.11 bluetooth Why not simply use cellular? “Floating database” Resources of interest in a limited geographic area possibly for short time duration Applications coexist

  3. Technical Challenges • Mobility and sparseness of peers • Bandwidth, energy, and memory constraints on mobile peers Even if there was a global coordination, the problem of determining whether a set of answers can be delivered to all the interested mobile peers is NP-complete.

  4. Heuristic Solution 1 1 2 3 2 3 5 • Reports and queries are stored and forwarded • Ranking to decide which reports to store and forward • Ranking based on online machine learning from attributes such as age and distance of a report • Ranking considers demand and supply 6 B B 4 4 C C 5 6 A A 1 1 4 4 Ranked Store-and-forward

  5. Incentive Mechanisms Mobile Peer Security Module Coin counter • Incentivize reports brokering • Based on virtual currency and security module • Who pays? • Producer, as in gas station advertisement • Consumer, as in parking slot discovery

  6. Incentive Mechanisms (Cont’d) • Producer-paid • Logarithmic Dissemination Strategy (LDS) • Producer attaches a certain amount of initial credit to announced report • A broker earns a commission fee each time it transmits the report to another peer • The remaining budget is divided between the sender and receiver • How to set the initial credit in order to cover a target area? • Consumer-paid • Consumer pays a broker for receiving a report • Pricing based on expected benefit of report • Developed an analytical model for computing the expected reduction of discovery time based on age and distance of resource as well as resource valid duration

  7. Incentive Mechanisms (Cont’d) • Transactional/Atomicity issue • Due to mobility, a transaction may not complete • Mobile Peer-to-peer Transaction (MOPT) mechanism • Mobile peer remembers unsuccessful transactions • Clearance center • Mobile peers submit transaction logs to clearance center for reconciliation • Compromising decentralization; data dissemination still decentralized Report, price = 6 coins Coin counter = 0 Coin counter = 10 Got it. Please charge 6 coins Coin counter = 0 Coin counter = 4

  8. Research Issues • Centralized <-> decentralized economy • Reputation based incentives • Direct experience may be rare • Game theory

More Related