In this paper, we introduced three novel data transfer al-
gorithms which consider energy eciency during data trans-
fers: i) a minimum energy algorithm which tries to minimize
the energy consumption without any performance concern;
ii) a high throughput energy-ecient algorithm which tries
to maximize the throughput with low energy consumption
constraints; and iii) an SLA-based energy-ecient algorithm
which lets end-users to dene their throughput requirements
while keeping the power consumption at minimum levels.
These algorithms provide the ability to intelligently and dy-namically select the ideal set of transfer parameters for high
performance, low cost (in terms of energy) data transfers.
Our experimental results show that our energy-aware data
transfer algorithms can achieve up to 50% energy savings
with the same or higher level of data transfer throughput.
Considering the vast amount of electric power consumed
during world-wide data transfer every year, these energy-
aware data transfer algorithms would be of crucial impor-
tance to decrease this cost.