Cloud computing manages a variety of virtualized resources, which makes scheduling a
critical component. In the cloud, a client may utilize several thousand virtualized assets for …

One of the important problems in heterogeneous computing systems is task scheduling. The
task scheduling problem intends to assigns tasks to a number of processors in a manner that …

This article concerns an efficient real-time task scheduling assisted by Hybrid Quantum-
Inspired Genetic Algorithm (HQIGA) in multiprocessor environment. Relying on concepts …

Real-time task scheduling in multiprocessor (MP) systems has become more critical. As
quantum computing advances, scholars have proposed different Quantum-Inspired (QI) …

To handle scheduling of tasks on heterogeneous systems, an algorithm is proposed to
reduce execution time while allowing for maximum parallelization. The algorithm is based …

Task scheduling is the main problem in cloud computing that reduces system performance; it
is an important way to arrange user needs and perform multiple goals. Cloud computing is …

One of the most important issues in designing efficient scheduling algorithms in
heterogeneous distribution systems is the reduction of execution time. In the proposed …

Cloud computing is currently dominated within the space of highperformance distributed
computing and it provides resource polling and ondemand services through the web. So …

Multiprocessors have evolved as powerful computing tools for executing dynamic real time
tasks. The continual evolutions of the multiprocessor and real-time systems in the last few …

Multiprocessor task scheduling is a NP-hard problem and Genetic Algorithm (GA) has been
revealed as an excellent technique for finding an optimal solution. In the past, several …