Query caching and optimization in distributed mediator systems
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Solving Local Cost Estimation Problem for Global Query Optimization in Multidatabase Systems
Distributed and Parallel Databases
A probe-based technique to optimize join queries in distributed Internet databases
Knowledge and Information Systems
An adaptive peer-to-peer network for distributed caching of OLAP results
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Query Optimization in a Heterogeneous DBMS
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Fuzzy reward modeling for run-time peer selection in peer-to-peer networks
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
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Exiting cost estimation models suffer from several limitations. First, static cost model is not capable of reflecting real-time situations. Second, dynamic cost model is not scalable due to its extensive probe queries. Third, these models are not designed for ad-hoc systems such as P2P, since dynamism of peers is not taken into consideration. In this paper, first, we propose a progressive “push-based” remote cost monitoring approach. We derive a generic static cost model from conventional static approach. Agents will be sent to remote hosts with a generic cost model and epsilons (ε) indicating the acceptable magnitude of cost change, i.e., percentage of coefficient changed. An update will be sent (pushed) to original host once the magnitude of the cost changes exceeds . Second, we introduce a fuzzy cost evaluation metric in additional to traditional evaluation criteria for handling the dynamism of P2P systems. This metric gives a confident measurement of a peer’s reliability.