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Cited by 39IoT and Edge/Fog ComputingCloud Computing and Resource ManagementService-Oriented Architecture and Web Services

DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-Oriented IoT Applications in Fog-Cloud Computing Environments

Sriraghavendra, Meeniga, Chawla, Priyanka, Wu, Huaming, Gill, Sukhpal Singh, Buyya, Rajkumar·2022·Lecture Notes on Data Engineering and Communications Technologies
DOI 10.1007/978-981-16-3448-2_2
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Crossref · 10.1007/978-981-16-3448-2_2

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A main reason for using fog computing is to improve overall efficiency and performance by reducing communications overhead and latency.

    “One real reason is mainly to improve the overall efficiency and performance by reducing the communications overhead (before avoiding the need for sending granular/raw data on limited bandwidth wireless access links) and reducing latency [58].”

    From Edge AI: A survey (2023) · cites this paper as [58]

  • Industrial applications in remote geographical locations or at temporary sites are ideal candidates for mDCs.

    “Industrial applications in remote geographical locations or at temporary sites are ideal candidates for mDCs [58].”

    From Edge AI: A survey (2023) · cites this paper as [58]

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Authors
Sriraghavendra, M., Chawla, P., Wu, H., Gill, S. S., & Buyya, R.
Affiliations
  • Lovely Professional University (IN)
  • Tianjin University (CN)
  • Queen Mary University of London (GB)
  • The University of Melbourne (AU)
ORCID
Venue
Lecture Notes on Data Engineering and Communications Technologies
Publisher
Springer Singapore
Published
2021-09-08
Pages
21-47
ISSN
  • 2367-4512 (ISSN-L)
  • 2367-4520
DOI
10.1007/978-981-16-3448-2_2
OpenAlex
W3196553641
Cited by
39
References
2
Citations by year
2026: 2 · 2025: 8 · 2024: 7 · 2023: 13 · 2022: 6 · 2021: 3
FWCI
6.70
Type
conference paper
Language
en
Open access
closed
Licence
Locations
  • Lecture notes on data engineering and communications technologies (publishedVersion)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
  • Physical Sciences › Computer Science › Information Systems › Service-Oriented Architecture and Web Services
Keywords
service placement, fog computing, IoT applications, deadline-aware scheduling, quality of service, genetic algorithm, fog-cloud architecture, response time, edge computing, iFogSim

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