Integration of Internet of Things and cloud computing: a systematic survey-Reference-Cited by-同舟云学术

Integration of Internet of Things and cloud computing: a systematic survey

Published:2020-01 Issue:2 Volume:14 Page:165-176
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Nazari Jahantigh Motahareh¹,Masoud Rahmani Amir¹,Jafari Navimirour Nima²^ORCID,Rezaee Ali¹

Affiliation:

1. Department of Computer Engineering, Science and Research BranchIslamic Azad UniversityTehranIran

2. Department of Computer Engineering, Tabriz BranchIslamic Azad UniversityTabrizIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2019.0537

Reference82 articles.

1. Integration of Cloud computing and Internet of Things: A survey

2. DizdarevicJ. CarpioF. JukanA.et al.: ‘Survey of communication protocols for internet‐of‐things and related challenges of fog and cloud computing integration’ arXiv preprint arXiv:1804.01747 2018

3. Toward Efficient Service Composition Techniques in the Internet of Things

4. Development of a context‐aware framework for the integration of internet of things and cloud computing for remote monitoring services;Al‐Shdifat A.;Procedia Manuf.,2018

5. Iot, cloud and BigData integration for Iot analytics;Biswas A.R.;Build. Blocks for IoT Analytics,2016

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model;Journal of Parallel and Distributed Computing;2024-05

2. Accurate Anomaly Detection With Energy Efficiency in IoT–Edge–Cloud Collaborative Networks;IEEE Internet of Things Journal;2023-10-01

3. Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey;Computer Communications;2023-09

4. Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions;ACM Computing Surveys;2023-07-13

5. MAD‐DDS: Memory‐efficient automatic discovery data distribution service for large‐scale distributed control network;IET Communications;2023-06-08