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Structured P2P based Data Management for Corporate Networks

Structured P2P based Data Management for Corporate Networks. Beng Chin Ooi National University of Singapore. Corporate Network Applications. National/regional/global Supply-Chain-Management and Product Tracking National Health Care… Purpose: mainly for information sharing/pulling.

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Structured P2P based Data Management for Corporate Networks

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  1. Structured P2P based Data Management for Corporate Networks Beng Chin Ooi National University of Singapore

  2. Corporate Network Applications • National/regional/global Supply-Chain-Management and Product Tracking • National Health Care… • Purpose: mainly for information sharing/pulling

  3. Requirements for Becoming a Disruptive Technology to Corporate Networks • Enterprise Quality Data Processing • Secure • Efficient • Accurate • Must appear as if it is a centralized ERP or DBMS • Scalability, Adaptability, Maintainability • Synchronization (map out from individual server to respective peer node), but no ACID enforcement

  4. Conventional Data Sharing (eg. SCM between companies) Database Traders Trader ERP Wholesalers Data engine Manufacturer ERP Transporters Problems: Expensive (huge initial investment on S/W and H/W) Expensive Maintenance Scalability Query form interface Retailers Supplier ERP

  5. Structured P2P based Data Management (eg SCM) Peer Node ERP Structured P2P network/ BATON

  6. Processes insert index incoming query create index query result insert index export data

  7. Sharing of Data Querying Index Configurable global schema . . . firewall Mapping Update Local schema

  8. Research Issues • Structured P2P Overlay Protocols • Range based indexing/routing • Garbage collection is expensive • Load Balancing • Indexing • Just-in-time indexing • Partial indexing based on range/summary/histograms • Indexing many attributes? • Query Processing • SQL queries (to what extent of complexity?) • Status • Implementation of 2nd version ongoing • Features • Peers are stable in corporate Networks • Data mapping is easier (with some manual wrapping) • Simpler queries

  9. Thanks

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