Toward a Unified Characterization of Mapping Algorithms in Cloud and MPSoC Environments Using a Literature-Based Approach


To address the growing demand for top-quality multimedia applications on mobile devices, stronger smartphones primarily based on multicore processors are turning into the mainstream. However, processing power is still behind the required resources for a few multimedia applications such as new video coding standards. Mobile cloud computing may be a answer for this concern. In order to efficiently distribute tasks onto an infrastructure of devices, a mapping algorithm is required. This algorithm ought to verify the appropriate device in the cloud and ought to also allocate the corresponding core in the chosen multicore device. Providing a suitable algorithm considering the two domains of cloud and Multiprocessor System on Chip (MPSoC) simultaneously could be a challenge. Describing the mapping algorithms with a set of descriptive components makes differentiation among them easier. Unification of those options on both domains results in simpler mapping algorithms. In this paper, we gift a generic illustration for the mapping algorithms in the MPSoC and cloud environments. Grounded Theory has been applied to spot the main options of the mapping algorithms. The obtained options are organized in a lot of abstract categories primarily based on their similarities. So as to judge the results, a few sample mapping algorithms from every of the cloud and MPSoC domains are successfully characterised with the obtained options.

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