Graph Greenifier: Towards Sustainable and Energy-Aware Massive Graph Processing in the Computing Continuum

Alexandru Iosup, Radu Prodan, Ana Lucia Varbanescu, Sacheendra Talluri, Gilles Magalhaes, Kailhan Hokstam, Hugo Zwaan, Vincent Van Beek, Reza Farahani, Dragi Kimovski

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Our society is increasingly digital, and its processes are increasingly digitalized. As an emerging technology for the digital society, graphs provide a universal abstraction to represent concepts and objects, and the relationships between them. However, processing graphs at a massive scale raises numerous sustainability challenges; becoming energy-aware could help graph-processing infrastructure alleviate its climate impact. Graph Greenifier aims to address this challenge in the conceptual framework offered by the Graph Massivizer architecture. We present an early vision of how Graph Greenifier could provide sustainability analysis and decision-making capabilities for extreme graph-processing workloads. Graph Greenifier leverages an advanced digital twin for data center operations, based on the OpenDC open-source simulator, a novel toolchain for workload-driven simulation of graph processing at scale, and a sustainability predictor. The input to the digital twin combines monitoring of the information and communication technology infrastructure used for graph processing with data collected from the power grid. Graph Greenifier thus informs providers and consumers on operational sustainability aspects, requiring mutual information sharing, reducing energy consumption for graph analytics, and increasing the use of electricity from renewable sources.

Original languageEnglish
Title of host publicationICPE 2023 Companion
Subtitle of host publicationCompanion of the 2023 ACM/SPEC International Conference on Performance Engineering
PublisherAssociation for Computing Machinery, Inc
Pages209-214
Number of pages6
ISBN (Electronic)9798400700729
DOIs
Publication statusPublished - Apr 2023
Event14th Annual ACM/SPEC International Conference on Performance Engineering, ICPE 2023 - Coimbra, Portugal
Duration: 15 Apr 202319 Apr 2023

Conference

Conference14th Annual ACM/SPEC International Conference on Performance Engineering, ICPE 2023
Country/TerritoryPortugal
CityCoimbra
Period15/04/2319/04/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Keywords

  • computing continuum
  • digital twin
  • energy-awareness
  • graph greenifier
  • graph massivizer
  • graph processing
  • scalability
  • sustainability

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