Distributed media-aware flow scheduling in cloud computing environment

Media-aware flow scheduling in cloud computing environment has attracted much attention nowadays because of the new possibilities they bring to many research and industry fields. Particularly, body area networks, as a typical computing environment application in healthcare, allow ubiquitous monitoring of patients, and more thorough patient diagnoses can be done with the help of multimedia service. In this work, we propose a novel media-aware flow scheduling architecture with the aims of improving the multimedia quality and increasing the network's lifetime. In order to avoid interfering with the multimedia applications' delay requirements, this work also proposes to analyze frames delay and jitter. The proposal has proven to improve the multimedia quality and decrease the transmission delay in a controllable manner, and thus the tradeoffs between QoS, lifetime, and delay requirements can be achieved according to the considered scenario. In addition, extensive simulation results validates the efficiency of the proposed method.