Cloud computing has emerged as the preeminent computing platform for multiple
enterprises. All scales of organizations adopt cloud services to leverage cloud technology to …

Green cloud computing attracts significant attention from both academia and industry. One of
the major challenges involved, is to provide a high level of Quality of Service (QoS) in a cost …

In this paper, we propose a hybrid fog and cloud-aware heuristic for the dynamic scheduling
of multiple real-time Internet of Things (IoT) workflows in a three-tiered architecture. In …

With the rising demand for cloud services, the high energy consumption of cloud data
centers is a significant problem that needs to be handled. The Dynamic Voltage and …

Energy-efficiency is a critical requirement for computation-intensive real-time applications on
multi-core embedded systems. Multi-core processors enable intra-task parallelism, and in …

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 rapid expansion of the Internet of Things (IoT) led to the emergence of new computing
paradigms, such as mist and fog computing, in order to tackle the problem of transferring …

Cloud warehouses have been exploiting multi-tenancy in CPU-FPGA collaborative
environments, so clients can share the same infrastructure, achieving scalability and …

The key factor in reducing the consumed energy when dependent-tasks applications are
scheduled on DVFS-enabled computing platforms is task execution time slots. The unique …

In this study, we propose and investigate a scheduling technique for linear workflow (LW)
jobs with dynamically adjustable exit tasks in a distributed system. The proposed approach …