Opportunistic prioritised clustering framework for improving OODBMS performance

Author:

He Zhen,Lai Richard,Marquez Alonso,Blackburn Stephen

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference25 articles.

1. Ailamaki, A., Dewitt, D.J., Hill, M.D., Wood, D.A., 1999. DBMSs on a modern processor: Where does time go? In: Proceedings of the International Conference on Very Large Databases (VLDB), Edinburgh, Scotland (September), pp. 266–277.

2. Banerjee, J., Kim, W., Kim, S.J., Garza, J.F.,1988. Clustering a DAG for CAD databases. In: IEEE Transactions on Software Engineering (November), vol. 14, pp. 1684–1699.

3. Dynamic clustering in object databases exploiting effective use of relationships between objects;Bullat,1996

4. Carey, M.J., Franklin, M.J., Livny, M., Shekita, E.J., 1991. Data caching tradeoffs in client-server dbms architectures. In: J. Clifford, R. King (Eds.), Proceedings of the International conference on the Management of Data (ACM SIGMOD), pp. 357–366.

5. Darmont, J., Schneider, M., 1999. VOODB: A generic discrete-event random simulation model to evaluate the performances of OODBs. In: Proceedings of the International Conference on Very Large Databases (VLDB), Edinburgh, Scotland (September), pp. 254–265.

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