Cloud computing is the de facto platform for deploying resource-and data-intensive real-time
applications due to the collaboration of large scale resources operating in cross …

An efficient resource allocation scheme plays a vital role in scheduling applications on high-
performance computing resources in order to achieve desired level of service. The major …

Fault detection, which requires a lot of time and complexity, is one of the most difficult tasks
for cloud computing. In this research, we investigate the utilization of the anytime algorithm …

How to guarantee Quality of Service (QoS) with the minimum resource cost has become a
new problem in cloud-based computation-intensive MapReduce computations. However …

During the past ten years, the energy consumption problem in cloud-related environments
has attracted substantial attention in research and industrial communities. Researchers …

Big data refers to numerous forms of complex and large datasets which need distinctive
computational platforms in order to be analyzed. Hadoop is one of the popular frameworks …

The cloud data center is accommodated with many servers for cloud-based services which
cause more consumption of energy and menace cost factors in computing tasks. Many …

With the recent advances in battery-based mobile computing technologies, power-saving
techniques in real-time embedded devices are becoming increasingly important. This paper …

An energy-efficient Model for Sensor-cloud is proposed based on data forecasting through
an autoregressive integrated moving average (ARIMA). Generally, all the user requests are …

In this paper, we developed a computing architecture and algorithms for supporting soft real-
time task scheduling in a cloud computing environment through the dynamic provisioning of …