The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Distributed data stream processing and edge computing: A survey on resource elasticity and future directions
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Cites
MapReduce: simplified data processing on large clusters
Dean, J., & Ghemawat, S. (2008) · Communications of the ACM · doi:10.1145/1327452.1327492 · Cited by 18,476
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Software-Defined Networking: A Comprehensive Survey
Kreutz, D., Ramos, F. M. V., Esteves Verissimo, P., Esteve Rothenberg, C., Azodolmolky, S., & Uhlig, S. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2371999 · Cited by 5,050
Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing
Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J. H., McCauley, M., Franklin, M. J. M., Shenker, S. J., & Stoica, I. G. (2012) · Cited by 3,622
Models and issues in data stream systems
Babcock, B., Babu, S., Datar, M., Motwani, R., & Widom, J. (2002) · Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems · doi:10.1145/543613.543615 · Cited by 2,495
Apache Hadoop YARN: yet another resource negotiator
Vavilapalli, V. K., Murthy, A. C., Douglas, C., Agarwal, S., Konar, M., Evans, R., Graves, T., Lowe, J., Shah, H., Seth, S., et al. (2013) · Proceedings of the 4th annual Symposium on Cloud Computing · doi:10.1145/2523616.2523633 · Cited by 1,848
(2011) · doi:10.5555/1972457.1972488 · Cited by 1,619
Aurora: a new model and architecture for data stream management
Abadi, D. J., Carney, D., �etintemel, U., Cherniack, M., Convey, C., Lee, S., Stonebraker, M., Tatbul, N., & Zdonik, S. (2003) · The VLDB Journal The International Journal on Very Large Data Bases · doi:10.1007/s00778-003-0095-z · Cited by 1,495
Data Streams: Algorithms and Applications
Muthukrishnan, S. (2005) · now publishers, Inc. eBooks · doi:10.1561/9781933019604 · Cited by 1,433
Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios
Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7721743 · Cited by 1,278
Cited by
Diez-Olivan, A., Del Ser, J., Galar, D., & Sierra, B. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.10.005 · Cited by 633
Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms
Hong, C.-H., & Varghese, B. (2020) · ACM Computing Surveys · doi:10.1145/3326066 · Cited by 461
Resource management approaches in fog computing: a comprehensive review
Ghobaei-Arani, M., Souri, A., & Rahmanian, A. A. (2020) · Journal of Grid Computing · doi:10.1007/s10723-019-09491-1 · Cited by 365
A survey on the evolution of stream processing systems
Fragkoulis, M., Carbone, P., Kalavri, V., & Katsifodimos, A. (2024) · The VLDB Journal · doi:10.1007/s00778-023-00819-8 · Cited by 207
Performance evaluation of real-time stream processing systems for Internet of Things applications
Vikash, Mishra, L., & Varma, S. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.07.012 · Cited by 57
Metadata
- Authors
- Dias de Assunção, M., da Silva Veith, A., & Buyya, R.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 103
- Pages
- 1-17
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2772043392
- Cited by
- 304
- References
- 84
- FWCI
- 26.05
- Type
- journal article
- Language
- en
- Open access
- green
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- Dias de Assunção, M., da Silva Veith, A., & Buyya, R. (2018). Distributed data stream processing and edge computing: A survey on resource elasticity and future directions. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2017.12.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
