Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved
By Mohammad Aazam, Imran Khan, A. Alsaffar, Eui-nam Huh. International Bhurban Conference on Applied Sciences and Technology, 2014
445 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b093accce96a985f51a1fddce37457fab3c08e78
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Amir Vahid Dastjerdi
- Brij Bhooshan Gupta
- Kostas E. Psannis
- Byung-Gyu Kim
- Eui-nam Huh
- Rajkumar Buyya
- Mohammad Aazam
- Ankit Thakkar
In Electrical and Electronic Engineering
- Bartolomé Rubio
- Manuel Fernando Lopera Diaz
- Brij Bhooshan Gupta
- Eui-nam Huh
- Rajkumar Buyya
- Amir Vahid Dastjerdi
- Mohammad Aazam
- Farzad Khodadadi
Citations in the corpus
- IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges (2017, unknown): “FUNCTIONAL FRAMEWORK OF CLOUD-BASED IOT APPLICATIONS A common IoT application framework [2] consists of perception layer, network layer, and application layer.”
- IoT and Cloud Computing Issues, Challenges and Opportunities: A Review (2021, background): “The application layer can sense environment data and send requests to the Cloud simultaneously to process and obtain sensor information results [22].”
- A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges (2020, background): “The architecture of IoT presented in [27–29] might vary from functionality aspects, but developed considering three layers namely perception layer, network layer, and application layer as shown in Fig.”
- State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing (2016, background): “The Cloud Computing and IoT integration, known as Cloud of Things [10], solves such problems as IoT’s limitations, data access, computing, data analysis, 30”
- Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT (2015, background): “With increasing number of heterogeneous devices connected to IoT and generating data, it is going to be impossible for a standalone IoT to efficiently perform power and bandwidth hungry tasks.”
- Secure integration of IoT and Cloud Computing (2018, background): “2014 M. Aazam et al [21] Integration of Internet of Things with Cloud Computing is gaining importance, with the way the trend is going on in ubiquitous computing world.”
- Internet of Things: An Overview (2017, background): “Moreover, these extensions can ease application development for mobile applications, Geo-distributed applications such as wireless sensor networks, and large-scale systems used for monitoring and controlling other systems, such as surveillance camera networks[55],[56].”