TY - JOUR

T1 - Optimizing resource allocation for approximate real-time query processing

AU - Yarygina, A.

AU - Novikov, B.

PY - 2014

Y1 - 2014

N2 - Query optimization techniques are proved to be essential for high performance of database management systems. In the context of new querying paradigms, such as similarity based search, exact query evaluation is neither computationally feasible nor meaningful, and approximate query evaluation is the only reasonable option. In this paper a problem of resource allocation for approximate evaluation of complex queries is considered. An approximate algorithm for a near-optimal resource allocation is presented, providing the best feasible quality of the output subject to a limited total cost of a query. The results of experiments have shown that the approximate resource allocation algorithm is accurate and efficient.

AB - Query optimization techniques are proved to be essential for high performance of database management systems. In the context of new querying paradigms, such as similarity based search, exact query evaluation is neither computationally feasible nor meaningful, and approximate query evaluation is the only reasonable option. In this paper a problem of resource allocation for approximate evaluation of complex queries is considered. An approximate algorithm for a near-optimal resource allocation is presented, providing the best feasible quality of the output subject to a limited total cost of a query. The results of experiments have shown that the approximate resource allocation algorithm is accurate and efficient.

KW - query optimization

KW - approximate query evaluation

KW - resource allocation

U2 - 10.2298/CSIS120825063Y

DO - 10.2298/CSIS120825063Y

M3 - Article

VL - 11

SP - 69

EP - 88

JO - Computer Science and Information Systems

JF - Computer Science and Information Systems

SN - 1820-0214

IS - 1

ER -