Abstract
In the last few years, the Grid technology has emerged as an important tool for many scientific and commercial global organizations. In grid-based systems, intelligent job scheduling is used to achieve Service Level Objectives (SLOs) and to provide some kind of Quality of Service (QoS) differentiation between users or applications. In data grids, the grid infra-structure is used to provide transparent access to geographically distributed data, which may be replicated in order to increase availability and performance. In this work, we deal with QoS-oriented query scheduling in data grids. Although there exist several works on job scheduling in Grids, QoS-oriented query scheduling in grid-based databases is still an open issue. For instance, how can we provide guarantees against response-time expectations? Our proposal uses a reputation system to answer this problem satisfactorily. We also present experimental results that prove the benefits of proposed strategies.
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