Технологии больших данных для мониторинга компьютерной безопасности

ИВ Котенко, ИА Ушаков - Защита информации. Инсайд, 2017 - elibrary.ru
В статье рассматриваются вопросы применения технологий больших данных для
мониторинга компьютерной безопасности, в том числе дается общее представление о …

Adaptive, scalable and reliable monitoring of big data on clouds

M Andreolini, M Colajanni, M Pietri, S Tosi - Journal of Parallel and …, 2015 - Elsevier
Real-time monitoring of cloud resources is crucial for a variety of tasks such as performance
analysis, workload management, capacity planning and fault detection. Applications …

A fog computing service placement for smart cities based on genetic algorithms

C Canali, R Lancellotti - CLOSER 2019-Proceedings of the 9th …, 2019 - iris.unimore.it
The growing popularity of the Fog Computing paradigm is driven by the increasing
availability of large amount of sensors and smart devices on a geographically distributed …

Massive distributed and parallel log analysis for organizational security

X Shu, J Smiy, DD Yao, H Lin - 2013 IEEE globecom …, 2013 - ieeexplore.ieee.org
Security log analysis is extremely useful for uncovering intrusions and anomalies. However,
the sheer volume of log data demands new frameworks and techniques of computing and …

Improving scalability of cloud monitoring through PCA-based clustering of virtual machines

C Canali, R Lancellotti - Journal of Computer Science and Technology, 2014 - Springer
Cloud computing has recently emerged as a leading paradigm to allow customers to run
their applications in virtualized large-scale data centers. Existing solutions for monitoring …

Scalable monitoring system for clouds

A Brinkmann, C Fiehe, A Litvina, I Lück… - 2013 IEEE/ACM 6th …, 2013 - ieeexplore.ieee.org
Although cloud computing has become an important topic over the last couple of years, the
development of cloud-specific monitoring systems has been neglected. This is surprising …

Automated clustering of VMs for scalable cloud monitoring and management

C Canali, R Lancellotti - SoftCOM 2012, 20th International …, 2012 - ieeexplore.ieee.org
The size of modern datacenters supporting cloud computing represents a major challenge in
terms of monitoring and management of system resources. Available solutions typically …

Exploiting ensemble techniques for automatic virtual machine clustering in cloud systems

C Canali, R Lancellotti - Automated Software Engineering, 2014 - Springer
Cloud computing has recently emerged as a new paradigm to provide computing services
through large-size data centers where customers may run their applications in a virtualized …

Batch to real-time: Incremental data collection & analytics platform

A Aydin, K Anderson - 2017 - aisel.aisnet.org
Real-time data collection and analytics is a desirable but challenging feature to provide in
dataintensive software systems. To provide highly concurrent and efficient real-time …

A Deep Learning based approach to VM behavior identification in cloud systems

M Stefanini, R Lancellotti, L Baraldi… - arXiv preprint arXiv …, 2019 - arxiv.org
Cloud computing data centers are growing in size and complexity to the point where
monitoring and management of the infrastructure become a challenge due to scalability …