Exact(1)
Our protocol allows multiple users to combine their queries to reduce the querying cost while protecting their privacy.
Similar(59)
We give a P2P design that explicitly trades off query cost versus maintenance/update cost.
Minimizing the query cost among multi-hosts is important to data processing for big data applications.
The release of fixed moving velocity makes the query process slowly due to the significant repetitive query cost.
We prove the correctness of Scoop by theoretical analysis, and verify the efficiency of Scoop in terms of query cost and query time via extensive simulation.
Furthermore, to achieve low query cost, we provide a cost model, in light of which uncertain data are pre-processed and indexed.
The automated MDC design model is based on what-if query cost modeling, data sampling, and a search algorithm for evaluating a large constellation of possible combinations.
Multidisk vertical allocation (MDVA) problems intend to find an allocation of relations to disks such that the expected query cost is minimized.
With these phases, the objects candidates are scaled down and the given time interval is divided into subintervals to reduce the repetitive query cost.
(1) A bitmap-based light-weight index method is designed to reduce the query cost of the existing two-level index table structure compared with qcow2.
Although the shortcut mechanism can be used to reduce the update and query costs, the query cost for the shortcuts mechanism is not better than that of DAT.
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