The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges
Abstract
Internet of Things (IoT) related applications have emerged as an important field for both engineers and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations especially in cloud computing. This paper first provides a functional framework that identifies the acquisition, management, processing and mining areas of IoT big data, and several associated technical modules are defined and described in terms of their key characteristics and capabilities. Then current research in IoT application is analyzed, moreover, the challenges and opportunities associated with IoT big data research are identified. We also report a study of critical IoT application publications and research topics based on related academic and industry publications. Finally, some open issues and some typical examples are given under the proposed IoT-related research framework.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Such a validation process is essential, since it provides a decentralized solution to the Byzantine Generals' Problem [13] that shows how to reach an agreement among different entities (generals) to do something (a battle plan) when such entities do not trust each other and when they only exchange messages that may be malicious (i.e., they may come from traitors).”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [13]
Citations
Cites
Linked Data - The Story So Far
Bizer, C., Heath, T., & Berners‐Lee, T. (2009) · International Journal on Semantic Web and Information Systems · doi:10.4018/jswis.2009081901 · Cited by 4,646
Rdf vocabulary description language 1.0 : Rdf schema
Brickley, D. (2004) · Medical Entomology and Zoology · Cited by 1,428
Dynamic searchable symmetric encryption
Kamara, S., Papamanthou, C., & Roeder, T. (2012) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2382196.2382298 · Cited by 1,134
Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved
Aazam, M., Khan, I., Alsaffar, A. A., & Huh, E. (2014) · International Bhurban Conference on Applied Sciences and Technology (IBCAST) · doi:10.1109/ibcast.2014.6778179 · Cited by 450
A comparison of join algorithms for log processing in MaPreduce
Blanas, S., Patel, J. M., Ercegovac, V., Rao, J., Shekita, E. J., & Tian, Y. (2010) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1807167.1807273 · Cited by 415
An IoT-Oriented Data Storage Framework in Cloud Computing Platform
Jiang, L., Xu, L. D., Cai, H., Jiang, Z., Bu, F., & Xu, B. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306384 · Cited by 352
Self-citationCloudThings: A common architecture for integrating the Internet of Things with Cloud Computing
Zhou, J., Leppänen, T., Harjula, E., Ylianttila, M., Ojala, T., Chen, Y., Jin, H., & Yang, L. T. (2013) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd.2013.6581037 · Cited by 257
A survey of large-scale analytical query processing in MapReduce
Doulkeridis, C., & Nørvåg, K. (2013) · The VLDB Journal · doi:10.1007/s00778-013-0319-9 · Cited by 224
Optimizing Multiway Joins in a Map-Reduce Environment
Afrati, F., & Ullman, J. D. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2011.47 · Cited by 190
IoT-Based Configurable Information Service Platform for Product Lifecycle Management
Cai, H., Xu, L. D., Xu, B., Xie, C., Qin, S., & Jiang, L. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306391 · Cited by 175
Self-citation
Cited by
Sorted by citations
A Review on the Use of Blockchain for the Internet of Things
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2018) · IEEE Access · doi:10.1109/access.2018.2842685 · Cited by 1,078
Challenges in deploying machine learning: A survey of case studies
Paleyes, A., Urma, R.-G., & Lawrence, N. D. (2023) · ACM Computing Surveys · doi:10.1145/3533378 · Cited by 638
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
Hua, H., Li, Y., Wang, T., Dong, N., Li, W., & Cao, J. (2022) · ACM Computing Surveys · doi:10.1145/3555802 · Cited by 632
An overview of Internet of Things (IoT): Architectural aspects, challenges, and protocols
Gupta, B. B., & Quamara, M. (2018) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.4946 · Cited by 517
Future Trends and Current State of Smart City Concepts: A Survey
Kirimtat, A., Krejcar, O., Kertész, A., & Tasgetiren, M. F. (2020) · IEEE Access · doi:10.1109/access.2020.2992441 · Cited by 453
Metadata
- Authors
- Cai, H., Xu, B., Jiang, L., & Vasilakos, A. V.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Luleå University of Technology (SE)
- Venue
- IEEE Internet of Things Journal
- Published
- 2017-02
- Volume
- 4
- Issue
- 1
- Pages
- 75-87
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2532521045
- Cited by
- 588
- References
- 80
- Citations by year
- 2026: 7 · 2025: 32 · 2024: 56 · 2023: 55 · 2022: 80 · 2021: 93 · 2020: 104 · 2019: 76 · 2018: 64 · 2017: 21
- FWCI
- 119.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- ELARTU (Ternopil National Technical University) (submittedVersion)
- Funders
- National Natural Science Foundation of China (61373030, 71171132)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- Internet of Things, big data storage, cloud computing, IoT data acquisition, data management, data processing, data mining, functional framework, research challenges
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
