Abstract
Various experts, large institutions (like the US MIT1) administrations and specialists in the field of technology consider data-intensive services as one of the major IT challenges of the 2010-2020 decade and made it one of their new priorities for researches and development. This type of application is observed in several scientific fields such as biology, astronomy, cosmology, social sciences and climate. Considering data-intensive web services and the cloud together, where data play the dominant role in the execution of the data-intensive service composition, the cost and response time of data sets and services influence the quality of the whole composition. Thus, we propose a novel approach towards minimizing cost response time and energy consumption for composite data-intensive services. It uses the artificial bee colony algorithm in order to select and find the optimal cost and response time of a data-intensive service. The newly composed data-intensive service will be an outstanding contribution to composite data-intense services research.