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Cited by 57Advanced Database Systems and QueriesIoT and Edge/Fog ComputingData Stream Mining Techniques

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Performance evaluation of real-time stream processing systems for Internet of Things applications

Vikash, Mishra, Lalita, Varma, Shirshu·2020·Future Generation Computer Systems
DOI 10.1016/j.future.2020.07.012
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Crossref · 10.1016/j.future.2020.07.012

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Vikash et al. (2020), Nasiri et al. (2019), Karakaya et al. (2017), and van Dongen and van den Poel (2021a) explicitly evaluate scalability, however without testing different load intensities against different resource amounts in isolated experiments.

    “Vikash et al. (2020), Nasiri et al. (2019), Karakaya et al. (2017), and van Dongen and van den Poel (2021a) explicitly evaluate scalability, however, without testing different load intensities against different resource amounts in isolated experiments.”

    From Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud (2024) · cites this paper as Vikash et al. (2020)

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 16

  1. Xhafa, 2020, Evaluation of IoT stream processing at edge computing layer for semantic data enrichment, Future Gener. Comput. Syst., 105, 730, 10.1016/j.future.2019.12.031 · DOI
  2. Röger, 2019, A comprehensive survey on parallelization and elasticity in stream processing, ACM Comput. Surv., 52, 36
  3. Zoitl, 2009, Iec 61499 architecture for distributed automation: The glass half full view, IEEE Ind. Electron. Mag., 3, 7, 10.1109/MIE.2009.934789 · DOI
  4. Kilov, 2013, The reference model of open distributed processing: Foundations, experience and applications, Comput. Stand. Interfaces, 35, 247, 10.1016/j.csi.2012.05.003 · DOI
  5. Disterer, 2013, Iso/iec 27000, 27001 and 27002 for information security management, J. Inf. Secur., 4, 92
  6. Hasoon, 2019, Big data techniques: A survey, Iraqi J. Inf. Technol., 9, 135
  7. Cugola, 2012, Processing flows of information: From data stream to complex event processing, ACM Comput. Surv., 44, 15, 10.1145/2187671.2187677 · DOI
  8. Sohraby, 2018, A review of wireless and satellite-based m2m/iot services in support of smart grids, Mob. Netw. Appl., 23, 881, 10.1007/s11036-017-0955-1 · DOI
  9. de Assuncao, 2018, Distributed data stream processing and edge computing: A survey on resource elasticity and future directions, J. Netw. Comput. Appl., 103, 1, 10.1016/j.jnca.2017.12.001 · DOI
  10. Wang, 2019, Time-based access control for multi-attribute data in internet of things, Mob. Netw. Appl., 1
  11. Raja, 2019, Safer: Crowdsourcing based disaster monitoring system using software defined fog computing, Mob. Netw. Appl., 1
  12. Prandi, 2019, Smart campus: Fostering the community awareness through an intelligent environment, Mob. Netw. Appl., 1
  13. T. Sharvari, N.K. Sowmya, A study on modern messaging systems-kafka, RabbitMQ and NATS streaming, arXiv(2019)arXiv–1912.
  14. Dayarathna, 2018, Recent advancements in event processing, ACM Comput. Surv., 51, 1, 10.1145/3170432 · DOI
  15. Johnson, 2016, Mimic-iii, a freely accessible critical care database, Sci. Data, 3, 10.1038/sdata.2016.35 · DOI · Paper page
  16. C. Avasalcai, S. Dustdar, Latency-aware decentralized resource management for IoT applications, in: Proceedings of the 8th International Conference on the Internet of Things, 2018, pp. 1–4. · DOI

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Metadata

Authors
Vikash, Mishra, L., & Varma, S.
Affiliations
Indian Institute of Information Technology Allahabad (IN)
Corresponding author
Vikash
ORCID
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2020-12
Volume
113
Pages
207-217
ISSN
0167-739X (ISSN-L)
DOI
10.1016/j.future.2020.07.012
OpenAlex
W3042004990
Cited by
57
References
2
Citations by year
2026: 8 · 2025: 11 · 2024: 12 · 2023: 7 · 2022: 10 · 2021: 7 · 2020: 2
FWCI
4.40
Type
journal article
Language
en
Open access
closed
Licence
Locations
Future Generation Computer Systems (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Artificial Intelligence › Data Stream Mining Techniques
Keywords
Internet of Things, stream processing, real-time data processing, IoT infrastructure, Apache NiFi, performance evaluation, response time, throughput, scalability, benchmark programs

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