Cloud computing is the development of distributed computing, parallel computing and grid
computing, or defined as the commercial implementation of these computer science …

Cloud computing uses the concepts of scheduling and load balancing to migrate tasks to
underutilized VMs for effectively sharing the resources. The scheduling of the …

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 …

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 …

In heterogeneous computing environments, finding optimized solutions continues to be one
of the most challenging problems as we continuously seek better and improved …

Increasing manufacturing process variations due to aggressive technology scaling in
addition to heterogeneity in design components are expected to cause serious challenges …

Multi-objective optimisation is an unavoidable requirement in different steps of embedded
systems design, including task mapping and scheduling. In this paper, a new multi-objective …

With the rapid development in science and technology, cloud computing has emerged to be
widely adopted in several IT (Information Technology) areas. It allows for the companies as …

An integrated cloud service model utilising both public and private cloud services to provide
a holistic deployment of the enterprise applications is the need of the hour. Traditional …

The goal of grid computing is to provide powerful computing for complex scientific problems
by utilizing and sharing large scale resources available in the grid. Efficient scheduling …