Fault-tolerance is an essential requirement for real-time systems, due to potentially
catastrophic consequences of faults. In this paper, we investigate an efficient off-line …

A heterogeneous computing (HC) system is composed of a suite of geographically
distributed high-performance machines interconnected by a high-speed network, thereby …

In this paper, a heuristic dynamic scheduling scheme for parallel real-time jobs executing on
a heterogeneous cluster is presented. In our system model, parallel real-time jobs, which are …

In this paper, we investigate an efficient off-line scheduling algorithm in which real-time tasks
with precedence constraints are executed in a heterogeneous environment. It provides more …

While many scheduling algorithms for periodic tasks ignore security requirements posed by
sensitive applications and are, consequently, unable to perform properly in embedded …

Multi-criteria scheduling problems, involving optimization of more than one criterion, are
subject to a growing interest. In this paper, we present a new bi-criteria scheduling heuristic …

Traditionally, Artificial Intelligence (AI) models are trained on the central cloud with data
collected from end devices. This leads to high communication cost, long response time, and …

The most crucial aspect of distributed real-time systems is the scheduling algorithm, which
must guarantee that every job in the system will meet its deadline. In this paper, we evaluate …

Cluster computing has emerged as a new paradigm for solving large-scale problems. To
enhance QoS and provide performance guarantees in cluster computing environments …

High quality of security service is increasingly critical for applications running on
heterogeneous distributed systems. However, existing scheduling algorithms for …