Abstract
We consider a computational economy with many suppliers who
offer processing and database access services to consumers for a
fee. Consumers submit a variety of database transactions to the
suppliers for processing, and they select suppliers based on the
quality of service (QoS), data-access price offered by the
suppliers and network bandwidth cost. The suppliers in an attempt
to maximaze profit control the following: (1) prices to acess the
data objects; (2) prices to lease data-objects that are in
demand. In this paper, we use such an economic framework to
investigate controllable load-balancing and object replication
algorithms for performance driven transaction processing. We show
via detailed workload driven simulation that this computational
economy adapts to changes in transaction workloads and types, and
dynamically balances load and replicates data objects based on
the consumer demand.
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