Towards Sustainable Serverless Processing of Massive Graphs on the Computing Continuum-Reference-Cited by-同舟云学术

Towards Sustainable Serverless Processing of Massive Graphs on the Computing Continuum

Published:2023-04-15 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
language:
Short-container-title:

Author:

Farahani Reza¹^ORCID,Kimovski Dragi¹^ORCID,Ristov Sashko²^ORCID,Iosup Alexandru³^ORCID,Prodan Radu¹^ORCID

Affiliation:

1. Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

2. University of Innsbruck, Innsbruck, Austria

3. Vrije Universiteit Amsterdam, Amsterdam, Austria

Funder

Horizon Europe research and innovation program of the European Union

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578245.3585331

Reference37 articles.

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2. Hamilton Wilfried Yves Adoni , Tarik Nahhal , Moez Krichen , Brahim Aghezzaf , and Abdeltif Elbyed . 2020. A survey of current challenges in partitioning and pro- cessing of graph-structured data in parallel and distributed systems. Distributed and Parallel Databases ( 2020 ). Hamilton Wilfried Yves Adoni, Tarik Nahhal, Moez Krichen, Brahim Aghezzaf, and Abdeltif Elbyed. 2020. A survey of current challenges in partitioning and pro- cessing of graph-structured data in parallel and distributed systems. Distributed and Parallel Databases (2020).

3. Apache. 2020. Apache Giraph. Retrieved 2023-02--12 from https://giraph.apache. org/ Apache. 2020. Apache Giraph. Retrieved 2023-02--12 from https://giraph.apache. org/

4. Apache. 2020. Apache OpenWhisk. Retrieved 2023-02--12 from https://openwhisk. apache.org/ Apache. 2020. Apache OpenWhisk. Retrieved 2023-02--12 from https://openwhisk. apache.org/

5. Energy-Aware Resource Scheduling for Serverless Edge Computing

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