Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres

S Ismaeel, R Karim, A Miri - Journal of Cloud Computing, 2018 - Springer
Data center power consumption is among the largest commodity expenditures for many
organizations. Reduction of power used in cloud data centres with heterogeneous physical …

High speed pattern matching for network IDS/IPS

M Alicherry, M Muthuprasanna… - Proceedings of the 2006 …, 2006 - ieeexplore.ieee.org
The phenomenal growth of the Internet in the last decade and society's increasing
dependence on it has brought along, a flood of security attacks on the networking and …

Energy and latency reductions at the fog gateway using a machine learning classifier

NK Suryadevara - Sustainable Computing: Informatics and Systems, 2021 - Elsevier
Abstract Machine Learning (ML) techniques have changed the analysis of massive data in
the Internet of Things (IoT) environment very effectively. In the IoT theme of applications …

Energy monitoring as an essential building block towards sustainable ultrascale systems

F Almeida, MD Assunção, J Barbosa, V Blanco… - … Informatics and Systems, 2018 - Elsevier
An ultrascale system (USS) joins parallel and distributed computing systems that will be two
to three orders of magnitude larger than today's infrastructure regarding scale, performance …

Monitoring system of openstack cloud platform based on prometheus

L Chen, M **an, J Liu - … on Computer Vision, Image and Deep …, 2020 - ieeexplore.ieee.org
Prometheus is currently the hottest open source monitoring tool in the world. With the
continuous development of cloud computing, OpenStack has become the most widely used …

Rapid and accurate energy models through calibration with IPMI and RAPL

R Kavanagh, K Djemame - Concurrency and Computation …, 2019 - Wiley Online Library
Energy consumption in Cloud and High Performance Computing platforms is a significant
issue and affects aspects such as the cost of energy and the cooling of the data center. Host …

A scheduler-level incentive mechanism for energy efficiency in HPC

Y Georgiou, D Glesser, K Rzadca… - 2015 15th IEEE/ACM …, 2015 - ieeexplore.ieee.org
Energy consumption has become one of the most important factors in High Performance
Computing platforms. However, while there are various algorithmic and programming …

A new energy efficient VM scheduling algorithm for cloud computing based on dynamic programming

K Zhang, T Wu, S Chen, L Cai… - 2017 IEEE 4th …, 2017 - ieeexplore.ieee.org
As a new computing paradigm, cloud computing has significantly contributed to the rapid
development of massive data centers. However, the corresponding energy issue becomes …

“Big, Medium, Little”: Reaching Energy Proportionality with Heterogeneous Computing Scheduler

V Villebonnet, G Da Costa, L Lefevre… - Parallel Processing …, 2015 - World Scientific
Energy savings are among the most important topics concerning Cloud and HPC
infrastructures nowadays. Servers consume a large amount of energy, even when their …

Energy aware dynamic provisioning for heterogeneous data centers

V Villebonnet, G Da Costa, L Lefèvre… - … architecture and high …, 2016 - ieeexplore.ieee.org
The huge amount of energy consumed by data centers represents a limiting factor in their
operation. Many of these infrastructures are over-provisioned, thus a significant portion of …