Recent Trends in Dependable and High Availability Systems

Dear Colleagues,

In recent years dependable and highly available systems gained relevance also because of the well-known process of “human digitalization’’ which has led to the widespread diffusion of smart devices for mission critical applications, like internet banking and government applications. At the same time, dependable systems shall be capable of providing services with the best level of Quality as these systems are designed to perform with a series of non-functional requirements such as availability, safety and security. Dependable systems, as well as highly available systems, are crucial in various system domains, like financial, government, big companies, medical devices as well as any type of critical infrastructures. A common point of dependable and highly availability systems is, for example, availability. In particular, highly available systems should provide a ratio of availability close to 100%. Another key attribute is represented by survivability that, for example, is often addressed by various disaster recovery solutions. These systems must also provide integrity of system resources (e.g., data). Safety and security are crucial requirements of dependable systems.

In this Special Issue we are particularly interested to collect contributions in the field of dependable and highly availability systems as, for example, application of machine learning and artificial intelligence to perform failover and disaster recovery of highly available systems; security and safety of dependable systems; architectural solutions and new software systems for dependable and highly available systems; dependability model and evaluation, as well as fault tolerance and recovery mechanisms for enterprise applications and real time systems.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Big data analytics and machine learning techniques and AI models for highly available systems.
• Applications of AI models to improve safety, security and reliability of dependable systems. New software and architectural components for highly available systems.
• Cloud-based solutions for high availability systems and dependable systems.
• Failover and recovery techniques for highly available systems.
• AI and machine learning integration of software agents for highly available and dependable systems.
• Monitoring tools for dependable and highly available systems.
• Dependability modeling and evaluation.
• Integration of Enterprise Applications into high availability solutions.
• IoT-based systems for dependable and highly available systems.
• Energy efficient dependable and highly available systems.
• Applications of big data analytics for dependable systems and computing.
• Safety and security of dependable systems.
• Highly available embedded systems.

Dr. Fabrizio Messina
Guest Editor

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• dependable systems
• highly available systems
• quality of service