Task scheduling and resource utilization have always been among the most critical issues
for high performance in heterogeneous computing. The heterogeneity of computation costs …

With the advancement of technology in the field of VLSI, it is possible to integrate several
computing elements onto a single chip. The performance of these single bus-based models …

In this paper, an uncertainty-aware task scheduling approach capable of dynamically
applying on multiprocessor embedded systems called” DyUnS” is presented. This method is …

Currently, many problems such as variable signal resources, complex execution
environments, and low efficiency of scheduling algorithms are faced by heterogeneous …

Dependent tasks are typically modeled using directed acyclic graphs (DAGs), and
scheduling algorithms based on DAGs have been extensively researched. Most of the …

It is very challenging to schedule multiple tasks in multicore systems, as there are multiple
antagonistic optimization objectives, such as makespan, energy consumption, reliability, and …

The performance growth in processors has been continuing toward increasing the number
of processing cores on the chip and scaling the feature size of transistors. However, in the …

This thesis investigates several aspects of Multi-Tiered Storage (MTS), Extended Petri Nets
(EPNs), and novel rule-based scheduling for data transfers, all aimed at enhancing the …

In the face of the rapid growth of China's car ownership, the variety of vehicle types, and the
increasingly complex structure and use conditions of modern cars, the majority of car …

With the advancement of technology in the field of VLSI, it is possible to integrate several
computing elements onto a single chip. The performance of these single bus-based models …