Multi-core processors have become widespread computing engines for recent embedded
real-time systems. Efficient task partitioning plays a significant role in real-time computing for …

Multiple tasks arrive in the distributed systems that can be executed in either parallel or
sequential manner. Before the execution, tasks are scheduled prioritywise with the help of …

Real‐time systems are nowadays extensively used in most time‐critical embedded
applications. The existing multiprocessor real‐time scheduling algorithms are based on …

This work presents the grouping of dependent tasks into a cluster using the Bayesian
analysis model to solve the affinity scheduling problem in heterogeneous multicore systems …

Modern microcontrollers for safety-critical real-time systems use a hierarchical memory
system to increase execution speed and memory capacity. For this purpose, flash memories …

Embedded systems often interact with dynamic environments requiring not only to meet
deadlines but also to achieve a certain level of accuracy. Since the inaccuracy of a task …

Incorporating performance monitoring capabilities to embedded environments, especially on
critical systems such as Cyber-Physical Systems, requires a negligible intrusion to ensure …

Nowadays, multi-core processors are increasingly adopted in embedded systems. These
processors can achieve energy consumption minimization by employing dynamic …

Problems in the shared caches in multicore systems arise due to the non-affinity scheduling.
Tasks are scheduled without considering the possible dependencies they have on each …

In the era of advanced internet technology and parallel processing, the identification of the
suitable system is more important than the inefficient computation with the non-compatible …