Special Issue "Statistical Approaches for Reliability of Future Communication Systems and Networks"
Deadline for manuscript submissions: 31 December 2021.
Interests: network security; network reliability/availability; statistical/ML techniques for network/protocol characterization
Interests: applied statistics; Bayesian inference; degradation models; reliability; availability evaluation
Interests: network dependability modeling and evaluation; network performance analysis; network resource orchestration; network security
Interests: dependability benchmarking; software fault injection testing; virtualization reliability; safety-critical systems
Reliability aspects are of increasingly crucial importance across the hyperconnected technological world.
All modern paradigms and architectures, such as Cloud/Fog/Edge Computing, the Internet of Things, 5G/6G, Network Function Virtualization, and Network Slicing, must satisfy strict reliability and availability requirements to provide their services without interruption. Consequently, characterizing a technological system or a network architecture in terms of its ability to deal with anomalous events (e.g., faults, attacks, overload, and disaster) and recovering its functionalities is becoming a key issue. Different methodologies are useful to achieve this aim—from the classic statistical methods to the data-driven approaches—including modern deep learning techniques.
Due to the growing interest both of academia and industry in the broad field of Reliability Engineering, for this Special Issue, we encourage high-quality research contributions—both theoretical and experimental—and timely survey papers that pinpoint future research directions in this field.
Topics of interest include, but are not limited to, the following:
- Reliability, dependability, availability, performability, serviceability, maintainability, and resiliency for emerging network and system architectures;
- Statistical methods for reliability and availability evaluation of emerging networks and systems;
- Next-generation network survivability;
- Reliability/availability aspects in the field of softwarized networks (NFV, SDN, and Network Slicing);
- Maintainability for emerging networks and systems;
- Data analysis for testbeds of emerging networks and systems;
- Prognostics and health management techniques for future networks and systems;
- Network and system resilience;
- Fault detection and isolation in large-scale networks;
- Anomaly detection techniques for networks and systems;
- Reliability issues of communication protocols;
- Fault tolerance techniques for emerging network architectures;
- Design of dependable architectures;
- Statistical learning for reliability assessment;
- Machine learning and Artificial Intelligence techniques for reliability;
- Fault diagnosis and prediction in future networks;
- Algorithms for reliability of networks and systems;
- High Availability issues in 5G/6G networks;
- High Availability issues in Cloud/Fog/Edge Computing;
- High Availability for IoT and sensors;
- High Availability for vehicle-to-vehicle communication;
- High availability/Costs/Energy consumption trade-off for emerging network and systems;
- Reliability aspects for emerging paradigms (Industrial IoT, Smart and Green Environments, Industry 4.0);
- Ultra-Reliable Services (6 nines and beyond);
- Chaos Engineering for future network infrastructures;
- Load, stress, and fault-injection testing for network services;
- Fault localization and debugging in network services.
Dr. Mario Di Mauro
Prof. Dr. Fabio Postiglione
Prof. Dr. Besmir Tola
Dr. Luigi De Simone
Prof. Dr. Roberto Natella
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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