Special Issue "Cloud, SDN, and NFV architectures for next generation IoT infrastructures"

Submission Deadline: 30 April 2021
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Guest Editors
Dr. Mohammad M. Banat, Jordan University of Science and Technology, Jordan.
Dr. Aaqif Afzaal Abbasi, Foundation University Islamabad, Pakistan.
Dr. Jemal Hussien Abawajy, Deakin University, Australia.

Summary

Internet of Things (IoT) consists of smart devices connected together over the internet for sharing of information. With the rapid increase in the number of smart devices, the network infrastructure for accommodating these devices requires adequate connectivity and services. In this regard, Cloud computing, Software-Defined Networking (SDN), and Network Functions Virtualization (NFV) play a vital role. These three technologies together enable the smooth operation of computation functions of IoT devices. Cloud computing helps in the storage of data on the shared pool of resources. Whereas SDN and NFV functions support easy and flexible network management. These technologies are being developed to address the growing needs of IoT devices and are often regarded as foundation of modern computer communication. In this special issue, we seek state-of-the-art approaches, methodologies, and key technologies, in the design, development, deployment, and innovative use of cloud, SDN, and NFV for next-generation IoT infrastructures. Topics include, but are not limited to the following

 

• Algorithms, frameworks, and protocols for cloud-based IoT infrastructure

• Resource management using SDNs in IoT environments

• Data center management for IoT analytics

• Edge-based computation for low powered IoT devices

• NFV technologies for next-generation IoT infrastructure

• Reliable storage and communication platforms for IoTs and heterogeneous networks 


Keywords
• IoT
• Cloud computing
• SDN
• Networks
• Software-defined
• Data centers
• Communication
• Storage
• Data analytics

Published Papers
  • A Data Security Framework for Cloud Computing Services
  • Abstract Cyberattacks are difficult to prevent because the targeted companies and organizations are often relying on new and fundamentally insecure cloud-based technologies, such as the Internet of Things. With increasing industry adoption and migration of traditional computing services to the cloud, one of the main challenges in cybersecurity is to provide mechanisms to secure these technologies. This work proposes a Data Security Framework for cloud computing services (CCS) that evaluates and improves CCS data security from a software engineering perspective by evaluating the levels of security within the cloud computing paradigm using engineering methods and techniques applied to CCS. This framework… More
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