Quality, Reliability and Resilience in Hybrid Information Systems

Overview:

For decades, the ever-increasing requirement for hybrid information and the continual improvement of hybrid information processing have led to different types of hybrid information systems (HISs). Meanwhile, the quality, reliability and resilience (QRR) of HIS is the basis of its large-scale applications in many research domains. To this end, quality, reliability and resilience of hybrid information system has been recognized as a promising technology to facilitate research in information processing, communication networks, internet of things (IoT), etc.

Many challenges remain in several aspects of QRR in HIS. First, heterogeneous topologies for hybrid information networks bring technical challenges in design and management of the HIS. Second, in order to manage HIS more effectively, how to measure and analyze the traffic of HIS still needs to be studied. Therein, how to extract various features from hybrid information for content semantic analysis and understanding is an important domain. Third, quality of service necessities for hybrid information causes challenges for big data transmission optimization in HIS. Finally, HIS reliability protection and system resilience enhancement in various environments is one of the bottlenecks restricting large-scale HIS applications. However, resource constraints of HIS increase reliability and resilience concerns related to their utilization in HIS. All these issues need more attention and research today. Likewise, sophisticated and robust mathematical methods are needed in hybrid big data processing. Meantime, emerging architectures which can improve the efficiency of this domain are also encouraged.

In light of those challenges, this special issue intends to bring state-of-the-art research and developments in HIS. Researchers are invited to contribute original research articles and comprehensive review articles that seek to understand the various techniques, address those challenges, and provide future improvements in this research domain.

Topics

Topics of interest include:

• Traffic analysis and management of HIS
• Emerging technologies in topology management in HIS
• Performance analysis of transmission control in HIS
• Efficient big data transmission in HIS
• Malware behavior analysis in HIS
• Demand Side Management in HIS
• Privacy management in HIS
• Distributed renewable management in HIS
• Fault diagnose and processing in HIS
• Optimization methods in reliability of HIS
• Maintenance Modeling Analysis in HIS
• Warranty Modeling Analysis in HIS

Submission Procedure:

Research articles must not have been published or submitted for publication elsewhere. All articles will be peer-reviewed and accepted based on quality, originality, novelty, and relevance to the special issue theme. Before submission, authors should carefully read over the journal\’s Author Guidelines, which is available at

http://www.elsevier.com/wps/find/journaldescription.cws_home/367/authorinstructions.

Manuscripts must be submitted online at https://www.evise.com/profile/#/COMPELECENG/login using the Article Type “SI-his”.

Schedule

• Manuscript submission deadline: Sep. 22, 2017
• 1st Round Notification: Dec. 22, 2017
• Final Notification: Feb. 23, 2018
• Publication date (tentative): July 2018

Guest Editors:

Shuai Liu, PhD (Managing guest editor)
College of Computer Science
Inner MongoliaUniversity
Hohhot, China
Email. cs_liushuai@imu.edu.cn / ls_25210114@163.com

Zhaojun (Steven) Li, PhD
Department of Industrial Engineering and Engineering Management
WesternNew EnglandUniversity
Springfield, MA, USA
Email. Zhaojun.li@wne.edu

Xiaochun Cheng, PhD
School of Computing Science
MiddlesexUniversity
London, UK
Email. xiaochun1312@163.com