A performance modeling framework for lambda architecture based applications
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Lambda computing and liquid software paradigms are examples of the flexibility requested for Digital Twin platforms.
“The paradigms of Lambda computing [292] [293] and liquid software [294] are examples of the requested flexibility.”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [293]
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Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812 · see citing works
- Authors
- Gribaudo, M., Iacono, M., & Kiran, M.
- Affiliations
- Politecnico di Milano (IT)
- University of Campania "Luigi Vanvitelli" (IT)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Iacono, M.
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 86
- Pages
- 1032-1041
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2738337880
- Cited by
- 31
- References
- 0
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 2 · 2023: 3 · 2022: 2 · 2020: 6 · 2019: 4 · 2018: 4 · 2017: 1
- FWCI
- 7.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Future Generation Computer Systems (publishedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion)
- Funders
- COST
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Database Systems and Queries
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Keywords
- Lambda architecture, performance modeling, real-time data processing, batch processing, cloud resource allocation, cloud computing costs, data processing framework, performance analysis tools
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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