Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Data-Intensive Workload Consolidation in Serverless (Lambda/FaaS) Platforms
The University of Sidney, AUS.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-9194-010X
The University of Sidney, AUS.
RMIT University, AUS.
2021 (English)In: 2021 IEEE 20TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA) / [ed] Mauro Andreolini, Mirco Marchetti, Dimiter R. Avresky, Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 1-8, article id 176804Conference paper, Published paper (Refereed)
Abstract [en]

A significant amount of research studies in the past years has been devoted on developing efficient mechanisms to control the level of degradation among consolidate workloads in a shared platform. Workload consolidation is a promising feature that is employed by most service providers to reduce the total operating costs in traditional computing systems [1]-[3]. Serverless paradigm - also known as Function as a Service, FaaS, and Lambda - recently emerged as a new virtualization run-time model that disentangles the traditional state of applications' users from the burden of provisioning physical computing resources, leaving the difficulty of providing the adequate resource capacity on the service provider's side. This paper focuses on a number of challenges associated with workload consolidation when a serverless platform is expected to execute several data-intensive functional units. Each functional unit is considered to be the atomic component that reacts to a stream of input data. A serverless application in the proposed model is composed of a series of functional units. Through a systematic approach, we highlight the main challenges for devising an efficient workload consolidation process in a data-intensive serverless platform. To this end, we first study the performance interference among multiple workloads to obtain the capacity of last level cache (LLC). We show how such contention among workloads can lead to a significant throughput degradation on a single physical server. We expand our investigation into a general case with the aim to prevent the total throughput never falling below a predefined utilization level. Based on the empirical results, we develop a consolidation model and then design a computationally efficient controller to optimize the throughput degradation among a platform consists fs multiple machines. The performance evaluation is conducted using modern workloads inspired by data management services, and data analytic benchmark tools in our in-house four node platform showing the efficiency of the proposed solution to mitigate the QoS violation rate for high priority applications by 90% while can enhance the normalized throughput usage of disk devices by 39%.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2021. p. 1-8, article id 176804
Series
IEEE International Symposium on Network Computing and Applications, ISSN 2643-7910
Keywords [en]
Serverless computing, Virtualized platform, Dynamic resource allocation and scheduling, Data-intensive Processing, Quality of Service (QoS)
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-89809DOI: 10.1109/NCA53618.2021.9685244ISI: 000783516600038Scopus ID: 2-s2.0-85125916743ISBN: 978-1-6654-9550-9 (print)OAI: oai:DiVA.org:kau-89809DiVA, id: diva2:1658911
Conference
IEEE 20th International Symposium on Network Computing and Applications (NCA), NOV 23-26, 2021, ELECTR NETWORK
Available from: 2022-05-18 Created: 2022-05-18 Last updated: 2022-09-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Taheri, Javid

Search in DiVA

By author/editor
Taheri, Javid
By organisation
Department of Mathematics and Computer Science (from 2013)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 101 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf