Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

The development of computing and communication systems has gone through a spiral cycle
of centralization and decentralization paradigms. The earliest computer systems are …

With the explosive growth of big data, workloads tend to get more complex and
computationally demanding. Such applications are processed on distributed interconnected …

To achieve high energy efficiency and low response time in big data stream computing
environments, it is required to model an energy-efficient resource scheduling and …

The problem of scheduling of tasks in distributed, heterogeneous, and multiprocessing
computing environment like grid and cloud computing is considered as one of the most …

With the explosive growth of the Internet of Things (IoT), fog computing emerged as a new
paradigm, in an attempt to minimize network latency. Fog computing extends the cloud to the …

The ever increasing popularity of cloud computing has relieved many consumers and
businesses from the burden of acquiring, maintaining and monitoring expensive hardware …

This paper considers for the first time end-to-end response-time analysis for DAG-based real-
time task systems implemented on heterogeneous multicore platforms. The specific analysis …

In this paper, we investigate the improvement that can be gained in the performance of a
heterogeneous cluster dedicated to real-time jobs, by exploiting schedule holes with a novel …