Adaptive task scheduling strategy in cloud: when energy consumption meets performance guarantee

Y Shen, Z Bao, X Qin, J Shen - World Wide Web, 2017 - Springer
Energy efficiency of cloud computing has been given great attention more than ever before.
One of the challenges is how to strike a balance between minimizing the energy …

A comparative analysis of adaptive consistency approaches in cloud storage

A Khelaifa, S Benharzallah, L Kahloul, R Euler… - Journal of Parallel and …, 2019 - Elsevier
NoSQL storage systems are used extensively by web applications and provide an attractive
alternative to conventional databases due to their high security and availability with a low …

A hybrid spam detection method based on unstructured datasets

Y Shao, M Trovati, Q Shi, O Angelopoulou… - Soft Computing, 2017 - Springer
The identification of non-genuine or malicious messages poses a variety of challenges due
to the continuous changes in the techniques utilised by cyber-criminals. In this article, we …

Cloud-based service for time series analysis and visualisation in Farm Management System

VC Bojan, IG Raducu, F Pop… - … and processing (ICCP …, 2015 - ieeexplore.ieee.org
Nowadays, the use of Internet of Things (IoT) makes more and more devices be capable of
producing large amount of data over a short period of time. Sensors started to be used more …

A modeling language to describe massive data storage management in cyber-physical systems

Y **g, H Wang, Y Huang, L Zhang, J Xu… - Journal of Parallel and …, 2017 - Elsevier
Massive data storage systems (MDSS, for short) are elementary parts of data gathering and
analysis in cyber-physical systems. MDSSs have more features than traditional storage …

Soil management services in CLUeFARM

A Serrouch, M Mocanu, F Pop - 2015 14th International …, 2015 - ieeexplore.ieee.org
Proper use of land require tools to handle each parcel both in a individual manner, as
regard to the activities rolled out on it, and as part of a farm or greenhouse containing …

Distributed systems education: From traditional models to new paths of learning

F Pop, V Cristea - … on Control Systems and Computer Science …, 2019 - ieeexplore.ieee.org
Distributed systems underpin our digital economy and thus the modern world. By operating
as enormous yet largely autonomous ecosystems of complex technologies, these systems …

Reasoning about cloud storage systems

H Wang, Z **, L Zhang, Y **g… - 2018 IEEE Third …, 2018 - ieeexplore.ieee.org
The rapid growth of data has restricted the capability of traditional storage technologies to
store and manage data. Massive growth in big data generated through cloud storage …

Block-Level Entropy-Based Adaptive Sampling Framework for Depth Map

X Feng, H Bai, Y Zhao - 2017 IEEE Third International …, 2017 - ieeexplore.ieee.org
Recently, the three dimensional (3-D) video technology has drawn significant attention
among industry and academic researchers. As a special data format in 3-D video, the depth …

Techniques intelligentes pour la gestion de la cohérence des Big data dans le cloud

A Khelaifa - 2023 - thesis.univ-biskra.dz
Cette thèse aborde le problème de cohérence des données de Bigdata dans le cloud. En
effet, nos recherches portent sur l'étude de différentes approches de cohérence adaptative …