Store edge networked data (SEND): A data and performance driven edge storage framework

Adrian Cristian Nicolaescu, Spyridon Mastorakis, Ioannis Psaras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


The number of devices that the edge of the Internet accommodates and the volume of the data these devices generate are expected to grow dramatically in the years to come. As a result, managing and processing such massive data amounts at the edge becomes a vital issue. This paper proposes "Store Edge Networked Data"(SEND), a novel framework for in-network storage management realized through data repositories deployed at the network edge. SEND considers different criteria (e.g., data popularity, data proximity from processing functions at the edge) to intelligently place different categories of raw and processed data at the edge based on system-wide identifiers of the data context, called labels. We implement a data repository prototype on top of the Google file system, which we evaluate based on real-world datasets of images and Internet of Things device measurements. To scale up our experiments, we perform a network simulation study based on synthetic and real-world datasets evaluating the performance and trade-offs of the SEND design as a whole. Our results demonstrate that SEND achieves data insertion times of 0.06ms-0.9ms, data lookup times of 0.5ms-5.3ms, and on-time completion of up to 92% of user requests for the retrieval of raw and processed data.

Original languageEnglish (US)
Title of host publicationINFOCOM 2021 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780738112817
StatePublished - May 10 2021
Event40th IEEE Conference on Computer Communications, INFOCOM 2021 - Vancouver, Canada
Duration: May 10 2021May 13 2021

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Conference40th IEEE Conference on Computer Communications, INFOCOM 2021


  • Data management
  • Data storage at the edge
  • Edge computing
  • Internet of Things (IoT)

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering


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