Recently, big data streams have become ubiquitous due to the fact that a number of
applications generate a huge amount of data at a great velocity. This made it difficult for …

Stream Processing (SP) has evolved as the leading paradigm to process and gain value
from the high volume of streaming data produced, eg, in the domain of the Internet of Things …

Automatic recommendation has become an increasingly relevant problem to industries,
which allows users to discover new items that match their tastes and enables the system to …

Current trends in industrial systems opt for the use of different big-data engines as a means
to process huge amounts of data that cannot be processed with an ordinary infrastructure …

Resource management is a key factor in the performance and efficient utilization of cloud
systems, and many research works have proposed efficient policies to optimize such …

Abstract The advent of Cloud Computing and Big Data brought several changes and
innovations in the landscape of database management systems. Nowadays, a cloud-friendly …

In the present electricity markets, an algorithm with fast convergence characteristics along
with the production of accurate results is more needful in order to improve the profit margins …

This paper presents efficient interference-mitigation techniques, such as fractional frequency
reuse (FFR) and soft frequency reuse (SFR) schemes, in multicell orthogonal frequency …

Mobile Augmented Reality (AR) is gaining traction as a compelling application due to recent
advancements in hardware and software. Previous studies have suggested that distributing …

An elastic stream computing system needs elastic adjustment of computing resource
allocation and vertex parallelism to improve latency and throughput, which includes …