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Cited by 22Software-Defined Networks and 5GCloud Computing and Resource ManagementAdvanced Data and IoT Technologies

The DOI matches its Crossref record.

Artificial Intelligence as a Service (AI-aaS) on Software-Defined Infrastructure

Parsaeefard, Saeedeh, Tabrizian, Iman, Leon-Garcia, Alberto·2019·2019 IEEE Conference on Standards for Communications and Networking (CSCN)
DOI 10.1109/cscn.2019.8931372
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Abstract

This paper investigates a paradigm for offering artificial intelligence as a service (AI-aaS) on software-defined infrastructures (SDIs). The increasing complexity of networking and computing infrastructures is already driving the introduction of automation in networking and cloud computing management systems. Here we consider how these automation mechanisms can be leveraged to offer AI-aaS. Use cases for AI-aaS are easily found in addressing smart applications in sectors such as transportation, manufacturing, energy, water, air quality, and emissions. We propose an architectural scheme based on SDIs where each AI-aaS application is comprised of a monitoring, analysis, policy, execution plus knowledge (MAPE-K) loop (MKL). Each application is composed as one or more specific service chains embedded in SDI, some of which will include a Machine Learning (ML) pipeline. Our model includes a new training plane and an AI-aaS plane to deal with the model-development and operational phases of AI applications. We also consider the role of an ML/MKL sandbox in ensuring coherency and consistency in the operation of multiple parallel MKL loops.

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Research works printed but not linked: 23

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Cited by

  • Algorithmic management in a work context

    Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021) · Big Data & Society · doi:10.1177/20539517211020332 · Cited by 532

    “In standard organizations (non-platform based), however, technological infrastructures are often provided through the Cloud by third party AI suppliers on an AI-as-a-service basis (Parsaeefard et al., 2019).”
    Background

Metadata

Authors
Parsaeefard, S., Tabrizian, I., & Leon-Garcia, A.
ORCID
Parsaeefard, Saeedeh
Venue
2019 IEEE Conference on Standards for Communications and Networking (CSCN)
Publisher
IEEE
Published
2019-10
Pages
1-7
DOI
10.1109/cscn.2019.8931372
OpenAlex
W2994798424
Cited by
22
References
0
Citations by year
2025: 3 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 6 · 2020: 1
FWCI
2.59
Type
conference paper
Language
en
Open access
closed
Licence
Locations
IEEE Conference on Standards for Communications and Networking (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
Keywords
software-defined infrastructure, MAPE-K loop, service chains, machine learning pipelines, smart applications

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