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Technical Paper presented at Conference on Service-Oriented System Engineering

  • Scott Hansen
  • Jul 26, 2024
  • 1 min read

Updated: May 26

The research team at project partner Harokopio University of Athens (HUA) has presented a technical paper related to their work in the SOPRANO project titled "An Efficient Storage Solution for Cloud/Edge Computing Infrastructures" at the 18th IEEE International Conference on Service-Oriented System Engineering (SOSE) held in Shanghai, China on 15-18 July

Abstract:

Edge computing emerges as a promising paradigm for managing and processing the immense data volumes generated by Internet of Things (IoT) devices. By moving data and computation closer to the client/devices, edge computing facilitates latency- and bandwidth-sensitive applications that would not be feasible through cloud and remote processing alone. Despite recent advancements, concerns persist regarding the requirements of cloud/edge-based applications. A distributed edge storage solution becomes indispensable to ensure data proximity, mitigate network congestion, and accommodate changing demands. Nevertheless, implementing an efficient edge-enabled storage system poses numerous challenges due to the distributed and heterogeneous nature of the edge, as well as its constrained resource capabilities. To this end, this paper presents an efficient cloud/edge storage framework with consideration on performance (QoS), latency reduction, and energy efficiency. The evaluations demonstrate significant improvements by reducing data operation execution time, enhancing performance, alleviating network infrastructure strain, and optimizing energy efficiency.

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