Collaborative distributed computing

a case for video summarization

Zhongyi Fu, Young Choon Lee

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

Abstract

The power of cloud computing is in the inherent ability to scale and share resources at internet scale. In the meantime, the power of edge computing is in the ubiquity of its resources and their proximity to data sources. The collaborative use of these two computing platforms (collaborative distributed computing) is of great practical importance. In this research, we study the seamless integration of edge devices, edge servers and cloud resources as a collaborative distributed system. As the first step towards the realization of collaborative distributed computing, we investigate the feasibility of edge-based video summarization, as a case study. Experimental results show the effective use of edge servers in the close proximity saves internet bandwidth usage and leverages the processing of latency-sensitive jobs.

Original languageEnglish
Title of host publicationUbiComp '18 Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2018 International Symposium on Wearable Computers
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages42-45
Number of pages4
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - 8 Oct 2018
Event2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
Duration: 8 Oct 201812 Oct 2018

Conference

Conference2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
CountrySingapore
CitySingapore
Period8/10/1812/10/18

Keywords

  • Cloud
  • Collaborative distributed computing
  • Edge computing

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