Demo: SLASH: Serverless Apache Spark Hub

Spillner, Josef

doi:10.1145/3583678.3603277

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29573

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	Demo: SLASH: Serverless Apache Spark Hub
Authors:	Spillner, Josef
et. al:	No
DOI:	10.1145/3583678.3603277 10.21256/zhaw-29573
Proceedings:	DEBS '23: Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems
Conference details:	17th ACM International Conference on Distributed and Event-based Systems (DEBS), Neuchatel, Switzerland, 27 - 30 June 2023
Issue Date:	27-Jun-2023
Publisher / Ed. Institution:	ACM
ISBN:	979-8-4007-0122-1
Language:	English
Subjects:	Autoscaling; Big data; Provisioning
Subject (DDC):	005: Computer programming, programs and data
Abstract:	Application needs for big data processing are shifting from planned batch processing to emergent scenarios involving high elasticity. Consequently, for many organisations managing private or public cloud resources it is no longer wise to pre-provision big data frameworks over large fixed-size clusters. Instead, they are looking forward to on-demand provisioning of those frameworks in the same way that the underlying compute resources such as virtual machines or containers can already be instantiated on demand today. Yet many big data frameworks, including the widely used Apache Spark, do not sandwich well in between underlying resource managers and user requests. With SLASH, we introduce a light-weight serverless provisioning model for worker nodes in standalone Spark clusters that help organisations slashing operating costs while providing greater flexibility and comfort to their users and more sustainable operations based on a unique triple scaling method.
URI:	https://digitalcollection.zhaw.ch/handle/11475/29573
Related research data:	https://zenodo.org/doi/10.5281/zenodo.7897069
Fulltext version:	Accepted version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Computer Science (InIT)
Appears in collections:	Publikationen School of Engineering

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Spillner, J. (2023, June 27). Demo: SLASH: Serverless Apache Spark Hub. DEBS ’23: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems. https://doi.org/10.1145/3583678.3603277

Spillner, J. (2023) ‘Demo: SLASH: Serverless Apache Spark Hub’, in DEBS ’23: Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems. ACM. Available at: https://doi.org/10.1145/3583678.3603277.

J. Spillner, “Demo: SLASH: Serverless Apache Spark Hub,” in DEBS ’23: Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, Jun. 2023. doi: 10.1145/3583678.3603277.

SPILLNER, Josef, 2023. Demo: SLASH: Serverless Apache Spark Hub. In: DEBS ’23: Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems. Conference paper. ACM. 27 Juni 2023. ISBN 979-8-4007-0122-1

Spillner, Josef. 2023. “Demo: SLASH: Serverless Apache Spark Hub.” Conference paper. In DEBS ’23: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems. ACM. https://doi.org/10.1145/3583678.3603277.

Spillner, Josef. “Demo: SLASH: Serverless Apache Spark Hub.” DEBS ’23: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, ACM, 2023, https://doi.org/10.1145/3583678.3603277.