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Toward transcoding as a service in a multimedia cloud energy efficient job-dispatching
1. IEEE 2014 JAVA PROJECT
TOWARD TRANSCODING AS A SERVICE IN A MULTIMEDIA CLOUD ENERGY-EFFICIENT JOB-
DISPATCHING ALGORITHM
ABSTRACT:
In this paper, we investigate the energy-efficient job-dispatching algorithm for
transcoding as a service (TaaS) in a multimedia cloud. We aim to minimize the energy
consumption of service engines in the cloud while achieving low delay for TaaS. We formulate the
job-dispatching problem as a constrained optimization problem under the framework of
Lyapunov optimization. Using the drift-plus-penalty function, we propose an online algorithm
that dispatches the transcoding jobs to service engines, with an objective to Reduce Energy
consumption while achieving the QUEue STability (REQUEST). We first characterize the
fundamental tradeoff between energy consumption and queue delay for the REQUEST algorithm
numerically and obtain its performance bound theoretically. Second, we study the robustness of
the REQUEST algorithm, with numerical results indicating that the REQUEST algorithm is robust to
the inaccuracy of estimating the transcoding time. Third, we compare the performance of the
REQUEST algorithm with the other two algorithms, i.e., the Round Robin and Random Rate
algorithms. By simulation and real trace data, we show that by appropriately choosing the control
variable, the REQUEST algorithm outperforms the Round Robin and Random Rate algorithms, with
smaller time average energy consumption and time average queue length. The proposed
REQUEST algorithm can be applied in cloud-assisted multimedia transcoding service.
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