Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …

Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

Cloud computing is gaining significant attention and virtualized datacenters are becoming
popular as a cost-effective infrastructure. The network services are transitioning from a host …

MapReduce emerges as an important distributed programming paradigm for large-scale
applications. Running MapReduce applications in clouds presents an attractive usage …

Recent trends in big data have shown that the amount of data continues to increase at an
exponential rate. This trend has inspired many researchers over the past few years to …

A MapReduce scheduling algorithm plays a critical role in managing large clusters of
hardware nodes and meeting multiple quality requirements by controlling the order and …

Deep learning model inference is a key service in many businesses and scientific discovery
processes. This paper introduces Ribbon, a novel deep learning inference serving system …

Nowadays, energy costs are the most important factor in cloud computing. Therefore, the
implementation of energy-aware task scheduling methods is of utmost importance. A task …

Big data refers to data that is so large that it exceeds the processing capabilities of traditional
systems. Big data can be awkward to work and the storage, processing and analysis of big …

The mobile service platform envisaged by emerging IoT and 5G is guaranteeing gigabit-
level bandwidth, ultra-low latency and ultra-high storage capacity for their subscribers. In …