The chapter proposes a set of data management methods in Self-healing Systems. The
proposed methods are focused on taking into account the features of Self-healing Systems …

Scaling supercomputers comes with an increase in failure rates due to the increasing
number of hardware components. In standard practice, applications are made resilient …

Building an infrastructure for Exascale applications requires, in addition to many other key
components, a stable and efficient failure detector. This paper describes the design and …

In complex industrial ecosystems together with an increasing global competition, success
depends on a complete value chain transformation. The use of Industry 4.0 standards is …

The complexity of computer architectures, software, web applications, and its large spread
worldwide using the internet and the rapid increase in the number of users in companion …

Building an infrastructure for exascale applications requires, in addition to many other key
components, a stable and efficient failure detector. This article describes the design and …

Future extreme-scale high-performance computing systems will be required to work under
frequent component failures. The MPI Forum's User Level Failure Mitigation proposal has …

Advancement in data collection has increased the availability of high-dimensional data.
High dimensional data results in data overload which makes the storage and processing …

MPI has been ubiquitously deployed in flagship HPC systems aiming to accelerate
distributed scientific applications running on tens of hundreds of processes and compute …

Large-scale HPC systems experience failures arising from faults in hardware, software,
and/or networking. Failure rates continue to grow as systems scale up and out. Crash fault …