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A review on orchestration distributed systems for IoT smart services in fog computing

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 2 (2021)

DOI
10.11591/ijece.v11i2.pp1812-1822
ISSN
2722-2578, 2088-8708
Published
2021-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This paper provides a review of orchestration distributed systems for IoT smart services in fog computing. The cloud infrastructure alone cannot handle the flow of information with the abundance of data, devices and interactions. Thus, fog computing becomes a new paradigm to overcome the problem. One of the first challenges was to build the orchestration systems to activate the clouds and to execute tasks throughout the whole system that has to be considered to the situation in the large scale of geographical distance, heterogeneity and low latency to support the limitation of cloud computing. Some problems exist for orchestration distributed in fog computing are to fulfil with high reliability and low-delay requirements in the IoT applications system and to form a larger computer network like a fog network, at different geographic sites. This paper reviewed approximately 68 articles on orchestration distributed system for fog computing. The result shows the orchestration distribute system and some of the evaluation criteria for fog computing that have been compared in terms of Borg, Kubernetes, Swarm, Mesos, Aurora, heterogeneity, QoS management, scalability, mobility, federation, and interoperability. The significance of this study is to support the researcher in developing orchestration distributed systems for IoT smart services in fog computing focus on IR4.0 national agenda

Collaboration network of the authors

31 authors · 70 co-authorship links · 15 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universiti Teknologi MARA
  • Universiti Teknikal Malaysia Melaka
  • Universiti Malaysia Pahang Al-Sultan Abdullah
  • Malaysian Nuclear Agency
  • Universiti Putra Malaysia
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Darmawaty Mohd AliUniversiti Teknologi MARA4
Mohd Sabri MinhatMalaysian Nuclear Agency3
Mohd Danial RozainiUniversiti Teknologi MARA2
Ezmin AbdullahUniversiti Teknologi MARA2
Norsuzila Ya’acobUniversiti Teknologi MARA2
Ahmad Azhari Mohamad NorUniversiti Teknologi MARA2
Intan Nabina AzmiUniversiti Teknologi MARA2
Norakmar Arbain SulaimanUniversiti Teknologi MARA2
Aslina Abu BakarUniversiti Teknologi MARA1
Muhammad Aiman Najmi bin RodzaliUniversiti Teknologi MARA1
Rosfariza RadzaliUniversiti Teknologi MARA1
Ahmad Rashidy RazaliUniversiti Teknologi MARA1
Fadila LazimUniversiti Teknologi MARA1
Hajar Ja’afarUniversiti Teknologi MARA1
Suziyani RohafauziUniversiti Teknologi MARA1
Ilham RustamUniversiti Teknologi MARA1
Mohamad Taib MiskonUniversiti Teknologi MARA1
Wan Haszerila Wan HassanUniversiti Teknikal Malaysia Melaka1
Juwita Mohd SultanUniversiti Teknikal Malaysia Melaka1
Nooritawati Md TahirUniversiti Teknologi MARA1
Yusnani Mohd YussoffUniversiti Teknologi MARA1
Ibnu HajarUniversiti Teknologi MARA1
Suhaili Beeran KuttyUniversiti Teknologi MARA1
Muhammad Azim NazriUniversiti Teknologi MARA1
Che Nur Shafareen AferaUniversiti Putra Malaysia1
Shuria SaaidinUniversiti Teknologi MARA1
Mazlina Binti Abdul MajidUniversiti Malaysia Pahang Al-Sultan Abdullah1
Abubakar AhmadUniversiti Malaysia Pahang Al-Sultan Abdullah1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
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