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Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE).

Sven Groppe, Le Gruenwald, Ching-Hsien Hsu

Abstract

The Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE) is centered around addressing scalable data management issues in emerging computing environments such as (post) cloud and fog/edge/dew computing. These environments aim to incorporate efficient data management and processing into distributed systems to minimize communication and computational costs, while simultaneously enhancing application throughput, reducing latencies, and prolonging battery life for nodes. Despite over a decade of research in this area, there are still numerous challenges that remain unsolved due to technological advancements such as lightweight virtualization, greater node capabilities, and increased parallelization. This year we also welcome contributions on data management for or solved by quantum computing. The workshop provides a platform for active discussions in these and related topics.
Original languageEnglish
Title of host publicationSIGMOD Conference Companion
Number of pages2
Publication date2023
Pages309-310
ISBN (Print)9781450395076
DOIs
Publication statusPublished - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  5. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  6. SDG 15 - Life on Land
    SDG 15 Life on Land

Research Areas and Centers

  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)
  • Research Area: Intelligent Systems

DFG Research Classification Scheme

  • 409-06 Information Systems, Process and Knowledge Management
  • 4.43-06 Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics

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