Information Systems

Intelligent Techniques for IoT Resource Management in Enterprise Systems

About the issue

Enterprise systems incorporate numerous smart applications, protocols, and organizations. Enterprise systems can be distinguished from software systems that can navigate the Internet of Things (IoT) devices such as mobile phones, smart actuators, and sensors in a scalable and interoperable environment. In other hand, the main purpose of the IoT is to help share real-time enterprise information through autonomous networked actors. IoT in enterprise systems provides the intelligent applications and devices which build a comprehensive, multi-leveled, and fully covered ecological monitoring network by using integration sensors. Enterprise systems and IoT are enabled by the latest developments in embedded systems, smart sensors, communication technologies, and Internet protocols. Combining IoT with enterprise information systems, and constructing cloud data centers and unified service supporting platforms is the main challenge to support interoperability and scalability.

With the rapid development of IoT, the enterprise system paradigm is emerging as an attractive solution for processing the IoT resource management. In the enterprise systems, IoT applications are executed by the intermediate computing nodes, as well as the physical servers in cloud data centers. On the other hand, due to the resource limitations, resource heterogeneity, dynamic nature, and unpredictability of enterprise systems, it necessitates the optimizing IoT resource management issues using intelligent techniques such as AI-plaining, data mining, meta-heuristic algorithms as one of the challenging problems to be considered in the enterprise landscape. Despite the importance of IoT resource management issues, this special issue invites researchers to publish selected original articles presenting intelligent trends to solve new challenges of intelligent services and system management problems. We also are interested in review articles as the state-of-the-art of this topic, showing recent major advances and discoveries, significant gaps in the research, and new future issues.

 Topics are as below:

  • Energy efficiency for IoT resource management in enterprise systems

  • IoT based service business models and processes in enterprise systems

  • Privacy and trust-aware IoT resource management in enterprise systems

  • Service-oriented architecture in enterprise information systems

  • Intelligent techniques on software quality estimation and reusability in enterprise systems

  • Machine learning techniques for software modularity management in enterprise systems

  • Knowledge-based IoT resource management in enterprise systems

  • Blockchain technique for IoT resource management in secured enterprise information systems

  • Deep learning methods for IoT resource management in enterprise systems

  • Formal methods for Io resource management in enterprise systems

  • IoT resource management models in enterprise health information systems


Important dates

Deadline for submissions: 25 December 2020

Notification of First Round: 25 February 2021

Final Decision: 25 June 2021


Submission instructions

Original papers describing completed and unpublished work not currently under review by any other journal/magazine/conference/workshop are solicited. Previously published conference/ symposia/ workshop papers or technical reports MUST be clearly clarified by the authors (at the submission stage) and an explanation should be provided how such papers have been extended to be considered for this special issue. Prospective authors should submit via the submission site of Enterprise Information Systems. Submitting authors must answer ‘Yes’ to a question of “Is this submission for a special issue?” and then select “IoT Resource Management” from the drop-down menu.


Guest Editors:

Dr. Alireza Souri, Ph.D. (Leading Guest Editor)

Department of Computer Engineering, Islamic Azad University, Iran

Email: alirezasouri.research@gmail.com, a.souri@srbiau.ac.ir

Website: http://souri.com/


Prof. Mu-Yen Chen, Ph.D

National Taichung University of Science and Technology, Taiwan

Email: mychen@nutc.edu.tw

Website: https://im.nutc.edu.tw/files/90-1078-13.php


Dr. Mohammad Shojafar, Ph.D

5G Innovation Centre (5GIC), Institute for Communication Systems, University of Surrey, UK

Email: m.shojafar@surrey.ac.uk

Website: http://mshojafar.com/